mirror of
https://github.com/redoules/redoules.github.io.git
synced 2025-12-12 15:59:34 +00:00
1082 lines
277 KiB
HTML
1082 lines
277 KiB
HTML
<!DOCTYPE html>
|
|
<html lang="fr">
|
|
|
|
<head>
|
|
<meta charset="utf-8">
|
|
<meta http-equiv="X-UA-Compatible" content="IE=edge">
|
|
<meta name="viewport" content="width=device-width, initial-scale=1">
|
|
<!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
|
|
<meta name="description" content="Data Science for Political and Social Phenomena">
|
|
<meta name="author" content="Guillaume Redoulès">
|
|
<link rel="icon" href="../favicon.ico">
|
|
|
|
<title>Article Recommander - Machine Learning</title>
|
|
|
|
<!-- JQuery -->
|
|
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
|
|
<script>
|
|
window.jQuery || document.write('<script src="../theme/js/jquery.min.js"><\/script>')
|
|
</script>
|
|
|
|
<!-- Bootstrap core CSS -->
|
|
<link rel="stylesheet" href="../theme/css/bootstrap.css" />
|
|
<!-- IE10 viewport hack for Surface/desktop Windows 8 bug -->
|
|
<link rel="stylesheet" type="text/css" href="../theme/css/ie10-viewport-bug-workaround.css" />
|
|
<!-- Custom styles for this template -->
|
|
<link rel="stylesheet" type="text/css" href="../theme/css/style.css" />
|
|
<link rel="stylesheet" type="text/css" href="../theme/css/notebooks.css" />
|
|
<link href='https://fonts.googleapis.com/css?family=PT+Serif:400,700|Roboto:400,500,700' rel='stylesheet' type='text/css'>
|
|
|
|
<!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
|
|
<!--[if lt IE 9]>
|
|
<script src="https://oss.maxcdn.com/html5shiv/3.7.2/html5shiv.min.js"></script>
|
|
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
|
|
<![endif]-->
|
|
|
|
|
|
<meta name="tags" content="Basics" />
|
|
|
|
|
|
</head>
|
|
|
|
<body>
|
|
|
|
<div class="navbar navbar-fixed-top">
|
|
<div class="container">
|
|
<div class="navbar-header">
|
|
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse">
|
|
<span class="icon-bar"></span>
|
|
<span class="icon-bar"></span>
|
|
<span class="icon-bar"></span>
|
|
</button>
|
|
<a class="navbar-brand" href="..">Guillaume Redoulès</a>
|
|
</div>
|
|
<div class="navbar-collapse collapse" id="searchbar">
|
|
|
|
<ul class="nav navbar-nav navbar-right">
|
|
<li class="dropdown">
|
|
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">About<span class="caret"></span></a>
|
|
<ul class="dropdown-menu">
|
|
<li><a href="../pages/about.html">About Guillaume</a></li>
|
|
<li><a href="https://github.com/redoules">GitHub</a></li>
|
|
<li><a href="https://www.linkedin.com/in/guillaume-redoul%C3%A8s-33923860/">LinkedIn</a></li>
|
|
</ul>
|
|
</li>
|
|
<li class="dropdown">
|
|
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Data Science<span class="caret"></span></a>
|
|
<ul class="dropdown-menu">
|
|
<li><a href="..#Blog">Blog</a></li>
|
|
<li><a href="..#Python">Python</a></li>
|
|
<li><a href="..#Bash">Bash</a></li>
|
|
<li><a href="..#SQL">SQL</a></li>
|
|
<li><a href="..#Mathematics">Mathematics</a></li>
|
|
<li><a href="..#Machine_Learning">Machine Learning</a></li>
|
|
<li><a href="..#Projects">Projects</a></li>
|
|
</ul>
|
|
</li>
|
|
<li class="dropdown">
|
|
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Projects<span class="caret"></span></a>
|
|
<ul class="dropdown-menu">
|
|
<li><a href="https://github.com/redoules/redoules.github.io">Notes (Github)</a></li>
|
|
</ul>
|
|
</li>
|
|
|
|
<!--<li class="dropdown">
|
|
<a href="../feeds/blog.rss.xml">Blog RSS</a>
|
|
</li>-->
|
|
|
|
|
|
</ul>
|
|
|
|
<form class="navbar-form" action="../search.html" onsubmit="return validateForm(this.elements['q'].value);">
|
|
<div class="form-group" style="display:inline;">
|
|
<div class="input-group" style="display:table;">
|
|
<span class="input-group-addon" style="width:1%;"><span class="glyphicon glyphicon-search"></span></span>
|
|
<input class="form-control search-query" name="q" id="tipue_search_input" placeholder="e.g. scikit KNN, pandas merge" required autocomplete="off" type="text">
|
|
</div>
|
|
</div>
|
|
</form>
|
|
|
|
</div>
|
|
<!--/.nav-collapse -->
|
|
</div>
|
|
</div>
|
|
|
|
|
|
|
|
<!-- end of header section -->
|
|
<div class="container">
|
|
<!-- <div class="alert alert-warning" role="alert">
|
|
Did you find this page useful? Please do me a quick favor and <a href="#" class="alert-link">endorse me for data science on LinkedIn</a>.
|
|
</div> -->
|
|
<section id="content" class="body">
|
|
<header>
|
|
<h1>
|
|
Article Recommander
|
|
</h1>
|
|
<ol class="breadcrumb">
|
|
<li>
|
|
<time class="published" datetime="2017-06-23T08:22:00+02:00">
|
|
23 juin 2017
|
|
</time>
|
|
</li>
|
|
<li>Machine Learning</li>
|
|
<li>Basics</li>
|
|
</ol>
|
|
</header>
|
|
<div class='article_content'>
|
|
<div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
|
|
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
|
|
<span class="o">%</span><span class="n">matplotlib</span> <span class="n">inline</span>
|
|
</pre></div>
|
|
|
|
|
|
<h2>Loading data and preprocessing</h2>
|
|
<p>we first learn the pickled article database. We will be cleaning it and separating the interesting articles from the uninteresting ones. </p>
|
|
<div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_pickle</span><span class="p">(</span><span class="s1">'./article.pkl'</span><span class="p">)</span>
|
|
<span class="k">del</span> <span class="n">df</span><span class="p">[</span><span class="s2">"html"</span><span class="p">]</span>
|
|
<span class="k">del</span> <span class="n">df</span><span class="p">[</span><span class="s2">"image"</span><span class="p">]</span>
|
|
<span class="k">del</span> <span class="n">df</span><span class="p">[</span><span class="s2">"URL"</span><span class="p">]</span>
|
|
<span class="k">del</span> <span class="n">df</span><span class="p">[</span><span class="s2">"hash"</span><span class="p">]</span>
|
|
<span class="k">del</span> <span class="n">df</span><span class="p">[</span><span class="s2">"source"</span><span class="p">]</span>
|
|
|
|
<span class="n">df</span><span class="p">[</span><span class="s2">"label"</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s2">"note"</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="mi">0</span> <span class="k">if</span> <span class="n">x</span> <span class="o"><=</span> <span class="mi">0</span> <span class="k">else</span> <span class="mi">1</span><span class="p">)</span>
|
|
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div>
|
|
<style>
|
|
.dataframe thead tr:only-child th {
|
|
text-align: right;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: left;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th></th>
|
|
<th>authors</th>
|
|
<th>note</th>
|
|
<th>resume</th>
|
|
<th>texte</th>
|
|
<th>titre</th>
|
|
<th>label</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>[Danny Bradbury, Marco Santori, Adam Draper, M...</td>
|
|
<td>-10.0</td>
|
|
<td>Black Market Reloaded, a black market site tha...</td>
|
|
<td>Black Market Reloaded, a black market site tha...</td>
|
|
<td>Black Market Reloaded back online after source...</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>[Emily Spaven, Stan Higgins, Emilyspaven]</td>
|
|
<td>1.0</td>
|
|
<td>The UK Home Office believes the government sho...</td>
|
|
<td>The UK Home Office believes the government sho...</td>
|
|
<td>Home Office: UK Should Create a Crime-Fighting...</td>
|
|
<td>1</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>[Pete Rizzo, Alex Batlin, Yessi Bello Perez, P...</td>
|
|
<td>-10.0</td>
|
|
<td>Though lofty in its ideals, lead developer Dan...</td>
|
|
<td>A new social messaging app is aiming to disrup...</td>
|
|
<td>Gems Bitcoin App Lets Users Earn Money From So...</td>
|
|
<td>0</td>
|
|
</tr>
|
|
<tr>
|
|
<th>3</th>
|
|
<td>[Nermin Hajdarbegovic, Stan Higgins, Pete Rizz...</td>
|
|
<td>3.0</td>
|
|
<td>US satellite service provider DISH Network has...</td>
|
|
<td>US satellite service provider DISH Network has...</td>
|
|
<td>DISH Becomes World's Largest Company to Accept...</td>
|
|
<td>1</td>
|
|
</tr>
|
|
<tr>
|
|
<th>4</th>
|
|
<td>[Stan Higgins, Bailey Reutzel, Garrett Keirns,...</td>
|
|
<td>-10.0</td>
|
|
<td>An unidentified 28-year-old man was robbed of ...</td>
|
|
<td>An unidentified 28-year-old man was robbed of ...</td>
|
|
<td>Bitcoin Stolen at Gunpoint in New York City Ro...</td>
|
|
<td>0</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<h2>Basic statistics on the dataset</h2>
|
|
<p>let's explore the dataset and extract some numbers :
|
|
* the number of article liked/disliked</p>
|
|
<div class="highlight"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s2">"label"</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="mi">0</span> <span class="mi">879</span>
|
|
<span class="mi">1</span> <span class="mi">324</span>
|
|
<span class="n">Name</span><span class="p">:</span> <span class="n">label</span><span class="p">,</span> <span class="n">dtype</span><span class="p">:</span> <span class="n">int64</span>
|
|
</pre></div>
|
|
|
|
|
|
<h2>Create the full content column</h2>
|
|
<div class="highlight"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">'full_content'</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">titre</span> <span class="o">+</span> <span class="s1">' '</span> <span class="o">+</span> <span class="n">df</span><span class="o">.</span><span class="n">resume</span> <span class="c1">#exclude the full texte of the article for the moment</span>
|
|
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div>
|
|
<style>
|
|
.dataframe thead tr:only-child th {
|
|
text-align: right;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: left;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th></th>
|
|
<th>authors</th>
|
|
<th>note</th>
|
|
<th>resume</th>
|
|
<th>texte</th>
|
|
<th>titre</th>
|
|
<th>label</th>
|
|
<th>full_content</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>[Danny Bradbury, Marco Santori, Adam Draper, M...</td>
|
|
<td>-10.0</td>
|
|
<td>Black Market Reloaded, a black market site tha...</td>
|
|
<td>Black Market Reloaded, a black market site tha...</td>
|
|
<td>Black Market Reloaded back online after source...</td>
|
|
<td>0</td>
|
|
<td>Black Market Reloaded back online after source...</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>
|
|
<span class="n">training</span><span class="p">,</span> <span class="n">testing</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span>
|
|
<span class="n">df</span><span class="p">,</span> <span class="c1"># The dataset we want to split</span>
|
|
<span class="n">train_size</span><span class="o">=</span><span class="mf">0.75</span><span class="p">,</span> <span class="c1"># The proportional size of our training set</span>
|
|
<span class="n">stratify</span><span class="o">=</span><span class="n">df</span><span class="o">.</span><span class="n">label</span><span class="p">,</span> <span class="c1"># The labels are used for stratification</span>
|
|
<span class="n">random_state</span><span class="o">=</span><span class="mi">400</span> <span class="c1"># Use the same random state for reproducibility</span>
|
|
<span class="p">)</span>
|
|
|
|
<span class="n">training</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div>
|
|
<style>
|
|
.dataframe thead tr:only-child th {
|
|
text-align: right;
|
|
}
|
|
|
|
.dataframe thead th {
|
|
text-align: left;
|
|
}
|
|
|
|
.dataframe tbody tr th {
|
|
vertical-align: top;
|
|
}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th></th>
|
|
<th>authors</th>
|
|
<th>note</th>
|
|
<th>resume</th>
|
|
<th>texte</th>
|
|
<th>titre</th>
|
|
<th>label</th>
|
|
<th>full_content</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>748</th>
|
|
<td>[Jon Brodkin]</td>
|
|
<td>-10.0</td>
|
|
<td>Amazon, Reddit, Mozilla, and other Internet co...</td>
|
|
<td>Amazon, Reddit, Mozilla, and other Internet co...</td>
|
|
<td>Amazon and Reddit try to save net neutrality r...</td>
|
|
<td>0</td>
|
|
<td>Amazon and Reddit try to save net neutrality r...</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1183</th>
|
|
<td>[Jon Brodkin]</td>
|
|
<td>-10.0</td>
|
|
<td>(The Time Warner involved in this transaction ...</td>
|
|
<td>A group of mostly Democratic senators led by A...</td>
|
|
<td>Democrats urge Trump administration to block A...</td>
|
|
<td>0</td>
|
|
<td>Democrats urge Trump administration to block A...</td>
|
|
</tr>
|
|
<tr>
|
|
<th>769</th>
|
|
<td>[Joseph Brogan]</td>
|
|
<td>-10.0</td>
|
|
<td>On Twitter, bad news comes at all hours, with ...</td>
|
|
<td>On Twitter, bad news comes at all hours, with ...</td>
|
|
<td>Some of the best art on Twitter comes from the...</td>
|
|
<td>0</td>
|
|
<td>Some of the best art on Twitter comes from the...</td>
|
|
</tr>
|
|
<tr>
|
|
<th>57</th>
|
|
<td>[Michael Del Castillo, Pete Rizzo, Trond Vidar...</td>
|
|
<td>-10.0</td>
|
|
<td>Publicly traded online travel service Webjet i...</td>
|
|
<td>Publicly traded online travel service Webjet i...</td>
|
|
<td>Webjet Ethereum Pilot Targets Hotel Industry's...</td>
|
|
<td>0</td>
|
|
<td>Webjet Ethereum Pilot Targets Hotel Industry's...</td>
|
|
</tr>
|
|
<tr>
|
|
<th>892</th>
|
|
<td>[Andrew Cunningham]</td>
|
|
<td>10.0</td>
|
|
<td>What has changed on the 2017 MacBook, then?\nI...</td>
|
|
<td>Andrew Cunningham\n\nAndrew Cunningham\n\nAndr...</td>
|
|
<td>Mini-review: The 2017 MacBook could actually b...</td>
|
|
<td>1</td>
|
|
<td>Mini-review: The 2017 MacBook could actually b...</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.feature_extraction.text</span> <span class="kn">import</span> <span class="n">TfidfVectorizer</span><span class="p">,</span> <span class="n">CountVectorizer</span>
|
|
<span class="kn">from</span> <span class="nn">sklearn.svm</span> <span class="kn">import</span> <span class="n">LinearSVC</span><span class="p">,</span> <span class="n">SVC</span>
|
|
<span class="kn">from</span> <span class="nn">sklearn.pipeline</span> <span class="kn">import</span> <span class="n">Pipeline</span>
|
|
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">cross_val_predict</span>
|
|
<span class="kn">from</span> <span class="nn">utils.plotting</span> <span class="kn">import</span> <span class="n">pipeline_performance</span>
|
|
|
|
<span class="n">steps</span> <span class="o">=</span> <span class="p">(</span>
|
|
<span class="p">(</span><span class="s1">'vectorizer'</span><span class="p">,</span> <span class="n">TfidfVectorizer</span><span class="p">()),</span>
|
|
<span class="p">(</span><span class="s1">'classifier'</span><span class="p">,</span> <span class="n">LinearSVC</span><span class="p">())</span>
|
|
<span class="p">)</span>
|
|
<span class="n">pipeline</span> <span class="o">=</span> <span class="n">Pipeline</span><span class="p">(</span><span class="n">steps</span><span class="p">)</span>
|
|
|
|
<span class="n">predicted_labels</span> <span class="o">=</span> <span class="n">cross_val_predict</span><span class="p">(</span><span class="n">pipeline</span><span class="p">,</span> <span class="n">training</span><span class="o">.</span><span class="n">full_content</span><span class="p">,</span> <span class="n">training</span><span class="o">.</span><span class="n">label</span><span class="p">)</span>
|
|
<span class="n">pipeline_performance</span><span class="p">(</span><span class="n">training</span><span class="o">.</span><span class="n">label</span><span class="p">,</span> <span class="n">predicted_labels</span><span class="p">)</span>
|
|
|
|
<span class="n">pipeline</span> <span class="o">=</span> <span class="n">pipeline</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">training</span><span class="o">.</span><span class="n">titre</span><span class="p">,</span> <span class="n">training</span><span class="o">.</span><span class="n">label</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="n">Accuracy</span> <span class="o">=</span> <span class="mi">80</span><span class="p">.</span><span class="mi">6</span><span class="o">%</span>
|
|
<span class="n">Confusion</span> <span class="n">matrix</span><span class="p">,</span> <span class="k">without</span> <span class="n">normalization</span>
|
|
<span class="p">[[</span><span class="mi">624</span> <span class="mi">35</span><span class="p">]</span>
|
|
<span class="p">[</span><span class="mi">140</span> <span class="mi">103</span><span class="p">]]</span>
|
|
</pre></div>
|
|
|
|
|
|
<p><img alt="png" src="../images/recommender/output_8_1.png"></p>
|
|
<div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">re</span>
|
|
<span class="kn">from</span> <span class="nn">utils.plotting</span> <span class="kn">import</span> <span class="n">print_top_features</span>
|
|
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">GridSearchCV</span>
|
|
|
|
<span class="k">def</span> <span class="nf">mask_integers</span><span class="p">(</span><span class="n">s</span><span class="p">):</span>
|
|
<span class="k">return</span> <span class="n">re</span><span class="o">.</span><span class="n">sub</span><span class="p">(</span><span class="sa">r</span><span class="s1">'\d+'</span><span class="p">,</span> <span class="s1">'INTMASK'</span><span class="p">,</span> <span class="n">s</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="n">steps</span> <span class="o">=</span> <span class="p">(</span>
|
|
<span class="p">(</span><span class="s1">'vectorizer'</span><span class="p">,</span> <span class="n">TfidfVectorizer</span><span class="p">()),</span>
|
|
<span class="p">(</span><span class="s1">'classifier'</span><span class="p">,</span> <span class="n">LinearSVC</span><span class="p">())</span>
|
|
<span class="p">)</span>
|
|
|
|
<span class="n">pipeline</span> <span class="o">=</span> <span class="n">Pipeline</span><span class="p">(</span><span class="n">steps</span><span class="p">)</span>
|
|
|
|
<span class="n">gs_params</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="c1">#'vectorizer__use_idf': (True, False),</span>
|
|
<span class="s1">'vectorizer__lowercase'</span><span class="p">:</span> <span class="p">[</span><span class="bp">True</span><span class="p">,</span> <span class="bp">False</span><span class="p">],</span>
|
|
<span class="s1">'vectorizer__stop_words'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'english'</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'vectorizer__ngram_range'</span><span class="p">:</span> <span class="p">[(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)],</span>
|
|
<span class="s1">'vectorizer__preprocessor'</span><span class="p">:</span> <span class="p">[</span><span class="n">mask_integers</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'classifier__C'</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">25</span><span class="p">)</span>
|
|
<span class="p">}</span>
|
|
|
|
|
|
<span class="n">gs</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">pipeline</span><span class="p">,</span> <span class="n">gs_params</span><span class="p">,</span> <span class="n">n_jobs</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="n">gs</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">training</span><span class="o">.</span><span class="n">full_content</span><span class="p">,</span> <span class="n">training</span><span class="o">.</span><span class="n">label</span><span class="p">)</span>
|
|
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_score_</span><span class="p">)</span>
|
|
|
|
<span class="n">pipeline1</span> <span class="o">=</span> <span class="n">gs</span><span class="o">.</span><span class="n">best_estimator_</span>
|
|
<span class="n">predicted_labels</span> <span class="o">=</span> <span class="n">pipeline1</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">full_content</span><span class="p">)</span>
|
|
<span class="n">pipeline_performance</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">label</span><span class="p">,</span> <span class="n">predicted_labels</span><span class="p">)</span>
|
|
|
|
<span class="n">print_top_features</span><span class="p">(</span><span class="n">pipeline1</span><span class="p">,</span> <span class="n">n_features</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="n">aaa</span> <span class="o">=</span> <span class="n">gs</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">full_content</span><span class="p">)</span> <span class="o">==</span> <span class="n">testing</span><span class="o">.</span><span class="n">label</span>
|
|
|
|
<span class="n">aaa</span> <span class="o">=</span> <span class="n">aaa</span><span class="p">[</span><span class="n">testing</span><span class="o">.</span><span class="n">label</span> <span class="o">==</span> <span class="mi">1</span><span class="p">]</span>
|
|
|
|
<span class="n">testing</span><span class="p">[</span><span class="s2">"titre"</span><span class="p">]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="o">~</span><span class="n">aaa</span><span class="o">.</span><span class="n">values</span><span class="p">]</span>
|
|
|
|
<span class="c1">#pipeline1.predict(["windows xbox bitcoin"])</span>
|
|
<span class="kn">from</span> <span class="nn">sklearn.externals</span> <span class="kn">import</span> <span class="n">joblib</span>
|
|
<span class="n">joblib</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">pipeline1</span><span class="p">,</span> <span class="s1">'classifier.pkl'</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="n">gs</span><span class="o">.</span><span class="n">predict</span><span class="p">([</span><span class="s1">'Google'</span><span class="p">])</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="nb">array</span><span class="p">([</span><span class="mi">1</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">int64</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="n">steps</span> <span class="o">=</span> <span class="p">(</span>
|
|
<span class="p">(</span><span class="s1">'vectorizer'</span><span class="p">,</span> <span class="n">TfidfVectorizer</span><span class="p">()),</span>
|
|
<span class="p">(</span><span class="s1">'classifier'</span><span class="p">,</span> <span class="n">SVC</span><span class="p">())</span>
|
|
<span class="p">)</span>
|
|
|
|
<span class="n">pipeline</span> <span class="o">=</span> <span class="n">Pipeline</span><span class="p">(</span><span class="n">steps</span><span class="p">)</span>
|
|
|
|
<span class="n">gs_params</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="c1">#'vectorizer__use_idf': (True, False),</span>
|
|
<span class="s1">'vectorizer__stop_words'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'english'</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'vectorizer__ngram_range'</span><span class="p">:</span> <span class="p">[(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)],</span>
|
|
<span class="s1">'vectorizer__preprocessor'</span><span class="p">:</span> <span class="p">[</span><span class="n">mask_integers</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'classifier__C'</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">25</span><span class="p">)</span>
|
|
<span class="p">}</span>
|
|
|
|
|
|
<span class="n">gs</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">pipeline</span><span class="p">,</span> <span class="n">gs_params</span><span class="p">,</span> <span class="n">n_jobs</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="n">gs</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">training</span><span class="o">.</span><span class="n">full_content</span><span class="p">,</span> <span class="n">training</span><span class="o">.</span><span class="n">label</span><span class="p">)</span>
|
|
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_score_</span><span class="p">)</span>
|
|
|
|
<span class="n">pipeline1</span> <span class="o">=</span> <span class="n">gs</span><span class="o">.</span><span class="n">best_estimator_</span>
|
|
<span class="n">predicted_labels</span> <span class="o">=</span> <span class="n">pipeline1</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">full_content</span><span class="p">)</span>
|
|
<span class="n">pipeline_performance</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">label</span><span class="p">,</span> <span class="n">predicted_labels</span><span class="p">)</span>
|
|
|
|
<span class="n">print_top_features</span><span class="p">(</span><span class="n">pipeline1</span><span class="p">,</span> <span class="n">n_features</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span>{<span class="s1">'</span><span class="s">classifier__C</span><span class="s1">'</span>: <span class="mi">5</span>.<span class="mi">0</span>, <span class="s1">'</span><span class="s">vectorizer__ngram_range</span><span class="s1">'</span>: <span class="ss">(</span><span class="mi">1</span>, <span class="mi">1</span><span class="ss">)</span>, <span class="s1">'</span><span class="s">vectorizer__preprocessor</span><span class="s1">'</span>: <span class="o"><</span><span class="nv">function</span> <span class="nv">mask_integers</span> <span class="nv">at</span> <span class="mi">0</span><span class="nv">x00000237491B67B8</span><span class="o">></span>, <span class="s1">'</span><span class="s">vectorizer__stop_words</span><span class="s1">'</span>: <span class="s1">'</span><span class="s">english</span><span class="s1">'</span>}
|
|
<span class="mi">0</span>.<span class="mi">711180124224</span>
|
|
<span class="nv">Accuracy</span> <span class="o">=</span> <span class="mi">71</span>.<span class="mi">2</span><span class="o">%</span>
|
|
<span class="nv">Confusion</span> <span class="nv">matrix</span>, <span class="nv">without</span> <span class="nv">normalization</span>
|
|
[[<span class="mi">153</span> <span class="mi">0</span>]
|
|
[ <span class="mi">62</span> <span class="mi">0</span>]]
|
|
|
|
|
|
|
|
<span class="o">---------------------------------------------------------------------------</span>
|
|
|
|
<span class="nv">ValueError</span> <span class="nv">Traceback</span> <span class="ss">(</span><span class="nv">most</span> <span class="nv">recent</span> <span class="k">call</span> <span class="nl">last</span><span class="ss">)</span>
|
|
|
|
<span class="o"><</span><span class="nv">ipython</span><span class="o">-</span><span class="nv">input</span><span class="o">-</span><span class="mi">9</span><span class="o">-</span><span class="mi">3</span><span class="nv">e0781e307fb</span><span class="o">></span> <span class="nv">in</span> <span class="o"><</span><span class="nv">module</span><span class="o">></span><span class="ss">()</span>
|
|
<span class="mi">25</span> <span class="nv">pipeline_performance</span><span class="ss">(</span><span class="nv">testing</span>.<span class="nv">label</span>, <span class="nv">predicted_labels</span><span class="ss">)</span>
|
|
<span class="mi">26</span>
|
|
<span class="o">---></span> <span class="mi">27</span> <span class="nv">print_top_features</span><span class="ss">(</span><span class="nv">pipeline1</span>, <span class="nv">n_features</span><span class="o">=</span><span class="mi">10</span><span class="ss">)</span>
|
|
|
|
|
|
<span class="nv">C</span>:\<span class="nv">Users</span>\<span class="nv">Guillaume</span>\<span class="nv">Documents</span>\<span class="nv">Code</span>\<span class="nv">recommandation</span>\<span class="nv">utils</span>\<span class="nv">plotting</span>.<span class="nv">py</span> <span class="nv">in</span> <span class="nv">print_top_features</span><span class="ss">(</span><span class="nv">pipeline</span>, <span class="nv">vectorizer_name</span>, <span class="nv">classifier_name</span>, <span class="nv">n_features</span><span class="ss">)</span>
|
|
<span class="mi">81</span> <span class="nv">def</span> <span class="nv">print_top_features</span><span class="ss">(</span><span class="nv">pipeline</span>, <span class="nv">vectorizer_name</span><span class="o">=</span><span class="s1">'</span><span class="s">vectorizer</span><span class="s1">'</span>, <span class="nv">classifier_name</span><span class="o">=</span><span class="s1">'</span><span class="s">classifier</span><span class="s1">'</span>, <span class="nv">n_features</span><span class="o">=</span><span class="mi">7</span><span class="ss">)</span>:
|
|
<span class="mi">82</span> <span class="nv">vocabulary</span> <span class="o">=</span> <span class="nv">np</span>.<span class="nv">array</span><span class="ss">(</span><span class="nv">pipeline</span>.<span class="nv">named_steps</span>[<span class="nv">vectorizer_name</span>].<span class="nv">get_feature_names</span><span class="ss">())</span>
|
|
<span class="o">---></span> <span class="mi">83</span> <span class="nv">coefs</span> <span class="o">=</span> <span class="nv">pipeline</span>.<span class="nv">named_steps</span>[<span class="nv">classifier_name</span>].<span class="nv">coef_</span>[<span class="mi">0</span>]
|
|
<span class="mi">84</span> <span class="nv">top_feature_idx</span> <span class="o">=</span> <span class="nv">np</span>.<span class="nv">argsort</span><span class="ss">(</span><span class="nv">coefs</span><span class="ss">)</span>
|
|
<span class="mi">85</span> <span class="nv">top_features</span> <span class="o">=</span> <span class="nv">vocabulary</span>[<span class="nv">top_feature_idx</span>]
|
|
|
|
|
|
<span class="nv">C</span>:\<span class="nv">Users</span>\<span class="nv">Guillaume</span>\<span class="nv">Anaconda3</span>\<span class="nv">lib</span>\<span class="nv">site</span><span class="o">-</span><span class="nv">packages</span>\<span class="nv">sklearn</span>\<span class="nv">svm</span>\<span class="nv">base</span>.<span class="nv">py</span> <span class="nv">in</span> <span class="nv">coef_</span><span class="ss">(</span><span class="nv">self</span><span class="ss">)</span>
|
|
<span class="mi">483</span> <span class="nv">def</span> <span class="nv">coef_</span><span class="ss">(</span><span class="nv">self</span><span class="ss">)</span>:
|
|
<span class="mi">484</span> <span class="k">if</span> <span class="nv">self</span>.<span class="nv">kernel</span> <span class="o">!=</span> <span class="s1">'</span><span class="s">linear</span><span class="s1">'</span>:
|
|
<span class="o">--></span> <span class="mi">485</span> <span class="nv">raise</span> <span class="nv">ValueError</span><span class="ss">(</span><span class="s1">'</span><span class="s">coef_ is only available when using a </span><span class="s1">'</span>
|
|
<span class="mi">486</span> <span class="s1">'</span><span class="s">linear kernel</span><span class="s1">'</span><span class="ss">)</span>
|
|
<span class="mi">487</span>
|
|
|
|
|
|
<span class="nv">ValueError</span>: <span class="nv">coef_</span> <span class="nv">is</span> <span class="nv">only</span> <span class="nv">available</span> <span class="nv">when</span> <span class="nv">using</span> <span class="nv">a</span> <span class="nv">linear</span> <span class="nv">kernel</span>
|
|
</pre></div>
|
|
|
|
|
|
<p><img alt="png" src="../images/recommender/output_13_2.png"></p>
|
|
<div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.naive_bayes</span> <span class="kn">import</span> <span class="n">BernoulliNB</span>
|
|
|
|
|
|
<span class="n">steps</span> <span class="o">=</span> <span class="p">(</span>
|
|
<span class="p">(</span><span class="s1">'vectorizer'</span><span class="p">,</span> <span class="n">TfidfVectorizer</span><span class="p">()),</span>
|
|
<span class="p">(</span><span class="s1">'classifier'</span><span class="p">,</span> <span class="n">BernoulliNB</span><span class="p">())</span>
|
|
<span class="p">)</span>
|
|
|
|
<span class="n">pipeline2</span> <span class="o">=</span> <span class="n">Pipeline</span><span class="p">(</span><span class="n">steps</span><span class="p">)</span>
|
|
|
|
<span class="n">gs_params</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="s1">'vectorizer__stop_words'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'english'</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'vectorizer__ngram_range'</span><span class="p">:</span> <span class="p">[(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)],</span>
|
|
<span class="s1">'vectorizer__preprocessor'</span><span class="p">:</span> <span class="p">[</span><span class="n">mask_integers</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'classifier__alpha'</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">5</span><span class="p">),</span>
|
|
<span class="s1">'classifier__fit_prior'</span><span class="p">:</span> <span class="p">[</span><span class="bp">True</span><span class="p">,</span> <span class="bp">False</span><span class="p">]</span>
|
|
<span class="p">}</span>
|
|
|
|
<span class="n">gs</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">pipeline2</span><span class="p">,</span> <span class="n">gs_params</span><span class="p">,</span> <span class="n">n_jobs</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="n">gs</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">training</span><span class="o">.</span><span class="n">full_content</span><span class="p">,</span> <span class="n">training</span><span class="o">.</span><span class="n">label</span><span class="p">)</span>
|
|
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_score_</span><span class="p">)</span>
|
|
|
|
<span class="n">pipeline2</span> <span class="o">=</span> <span class="n">gs</span><span class="o">.</span><span class="n">best_estimator_</span>
|
|
<span class="n">predicted_labels</span> <span class="o">=</span> <span class="n">pipeline2</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">full_content</span><span class="p">)</span>
|
|
<span class="n">pipeline_performance</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">label</span><span class="p">,</span> <span class="n">predicted_labels</span><span class="p">)</span>
|
|
|
|
<span class="n">print_top_features</span><span class="p">(</span><span class="n">pipeline2</span><span class="p">,</span> <span class="n">n_features</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">820</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="n">neg_prob</span> <span class="o">=</span> <span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">np</span><span class="p">.</span><span class="n">exp</span><span class="p">(</span><span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span><span class="p">))</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">823</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">invalid</span> <span class="n">value</span> <span class="n">encountered</span> <span class="k">in</span> <span class="k">add</span>
|
|
<span class="n">jll</span> <span class="o">+=</span> <span class="k">self</span><span class="p">.</span><span class="n">class_log_prior_</span> <span class="o">+</span> <span class="n">neg_prob</span><span class="p">.</span><span class="k">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">801</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
|
|
|
|
<span class="err">{</span><span class="s1">'classifier__alpha'</span><span class="p">:</span> <span class="mi">0</span><span class="p">.</span><span class="mi">25</span><span class="p">,</span> <span class="s1">'classifier__fit_prior'</span><span class="p">:</span> <span class="k">True</span><span class="p">,</span> <span class="s1">'vectorizer__ngram_range'</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="s1">'vectorizer__preprocessor'</span><span class="p">:</span> <span class="o"><</span><span class="k">function</span> <span class="n">mask_integers</span> <span class="k">at</span> <span class="mi">0</span><span class="n">x00000237491B67B8</span><span class="o">></span><span class="p">,</span> <span class="s1">'vectorizer__stop_words'</span><span class="p">:</span> <span class="s1">'english'</span><span class="err">}</span>
|
|
<span class="mi">0</span><span class="p">.</span><span class="mi">805900621118</span>
|
|
<span class="n">Accuracy</span> <span class="o">=</span> <span class="mi">78</span><span class="p">.</span><span class="mi">1</span><span class="o">%</span>
|
|
<span class="n">Confusion</span> <span class="n">matrix</span><span class="p">,</span> <span class="k">without</span> <span class="n">normalization</span>
|
|
<span class="p">[[</span><span class="mi">140</span> <span class="mi">13</span><span class="p">]</span>
|
|
<span class="p">[</span> <span class="mi">34</span> <span class="mi">28</span><span class="p">]]</span>
|
|
<span class="n">Top</span> <span class="k">like</span> <span class="n">features</span><span class="p">:</span>
|
|
<span class="p">[</span><span class="s1">'use'</span> <span class="s1">'just'</span> <span class="s1">'year'</span> <span class="s1">'price'</span> <span class="s1">'time'</span> <span class="s1">'Bitcoin'</span> <span class="s1">'bitcoin'</span> <span class="s1">'new'</span> <span class="s1">'The'</span>
|
|
<span class="s1">'INTMASK'</span><span class="p">]</span>
|
|
<span class="c1">---</span>
|
|
<span class="n">Top</span> <span class="n">dislike</span> <span class="n">features</span><span class="p">:</span>
|
|
<span class="p">[</span><span class="s1">'ABBA'</span> <span class="s1">'cable'</span> <span class="s1">'cab'</span> <span class="s1">'byte'</span> <span class="s1">'publication'</span> <span class="s1">'bye'</span> <span class="s1">'publications'</span> <span class="s1">'publicity'</span>
|
|
<span class="s1">'buyer'</span> <span class="s1">'publicizing'</span><span class="p">]</span>
|
|
</pre></div>
|
|
|
|
|
|
<p><img alt="png" src="../images/recommender/output_14_2.png"></p>
|
|
<div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.naive_bayes</span> <span class="kn">import</span> <span class="n">MultinomialNB</span>
|
|
|
|
|
|
<span class="n">steps</span> <span class="o">=</span> <span class="p">(</span>
|
|
<span class="p">(</span><span class="s1">'vectorizer'</span><span class="p">,</span> <span class="n">TfidfVectorizer</span><span class="p">()),</span>
|
|
<span class="p">(</span><span class="s1">'classifier'</span><span class="p">,</span> <span class="n">MultinomialNB</span><span class="p">())</span>
|
|
<span class="p">)</span>
|
|
|
|
<span class="n">pipeline3</span> <span class="o">=</span> <span class="n">Pipeline</span><span class="p">(</span><span class="n">steps</span><span class="p">)</span>
|
|
|
|
<span class="n">gs_params</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="s1">'vectorizer__stop_words'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'english'</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'vectorizer__ngram_range'</span><span class="p">:</span> <span class="p">[(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)],</span>
|
|
<span class="s1">'vectorizer__preprocessor'</span><span class="p">:</span> <span class="p">[</span><span class="n">mask_integers</span><span class="p">,</span> <span class="bp">None</span><span class="p">],</span>
|
|
<span class="s1">'classifier__alpha'</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">5</span><span class="p">),</span>
|
|
<span class="s1">'classifier__fit_prior'</span><span class="p">:</span> <span class="p">[</span><span class="bp">True</span><span class="p">,</span> <span class="bp">False</span><span class="p">]</span>
|
|
<span class="p">}</span>
|
|
|
|
<span class="n">gs</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">pipeline3</span><span class="p">,</span> <span class="n">gs_params</span><span class="p">,</span> <span class="n">n_jobs</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
|
<span class="n">gs</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">training</span><span class="o">.</span><span class="n">full_content</span><span class="p">,</span> <span class="n">training</span><span class="o">.</span><span class="n">label</span><span class="p">)</span>
|
|
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
|
|
<span class="k">print</span><span class="p">(</span><span class="n">gs</span><span class="o">.</span><span class="n">best_score_</span><span class="p">)</span>
|
|
|
|
<span class="n">pipeline3</span> <span class="o">=</span> <span class="n">gs</span><span class="o">.</span><span class="n">best_estimator_</span>
|
|
<span class="n">predicted_labels</span> <span class="o">=</span> <span class="n">pipeline3</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">full_content</span><span class="p">)</span>
|
|
<span class="n">pipeline_performance</span><span class="p">(</span><span class="n">testing</span><span class="o">.</span><span class="n">label</span><span class="p">,</span> <span class="n">predicted_labels</span><span class="p">)</span>
|
|
|
|
<span class="n">print_top_features</span><span class="p">(</span><span class="n">pipeline3</span><span class="p">,</span> <span class="n">n_features</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
|
|
<div class="highlight"><pre><span></span><span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
<span class="k">C</span><span class="p">:</span><span class="err">\</span><span class="n">Users</span><span class="err">\</span><span class="n">Guillaume</span><span class="err">\</span><span class="n">Anaconda3</span><span class="err">\</span><span class="n">lib</span><span class="err">\</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="err">\</span><span class="n">sklearn</span><span class="err">\</span><span class="n">naive_bayes</span><span class="p">.</span><span class="n">py</span><span class="p">:</span><span class="mi">699</span><span class="p">:</span> <span class="n">RuntimeWarning</span><span class="p">:</span> <span class="n">divide</span> <span class="k">by</span> <span class="n">zero</span> <span class="n">encountered</span> <span class="k">in</span> <span class="n">log</span>
|
|
<span class="k">self</span><span class="p">.</span><span class="n">feature_log_prob_</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="p">.</span><span class="n">log</span><span class="p">(</span><span class="n">smoothed_fc</span><span class="p">)</span> <span class="o">-</span>
|
|
|
|
|
|
<span class="err">{</span><span class="s1">'classifier__alpha'</span><span class="p">:</span> <span class="mi">0</span><span class="p">.</span><span class="mi">5</span><span class="p">,</span> <span class="s1">'classifier__fit_prior'</span><span class="p">:</span> <span class="k">False</span><span class="p">,</span> <span class="s1">'vectorizer__ngram_range'</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="s1">'vectorizer__preprocessor'</span><span class="p">:</span> <span class="o"><</span><span class="k">function</span> <span class="n">mask_integers</span> <span class="k">at</span> <span class="mi">0</span><span class="n">x00000237491B67B8</span><span class="o">></span><span class="p">,</span> <span class="s1">'vectorizer__stop_words'</span><span class="p">:</span> <span class="s1">'english'</span><span class="err">}</span>
|
|
<span class="mi">0</span><span class="p">.</span><span class="mi">80900621118</span>
|
|
<span class="n">Accuracy</span> <span class="o">=</span> <span class="mi">79</span><span class="p">.</span><span class="mi">1</span><span class="o">%</span>
|
|
<span class="n">Confusion</span> <span class="n">matrix</span><span class="p">,</span> <span class="k">without</span> <span class="n">normalization</span>
|
|
<span class="p">[[</span><span class="mi">141</span> <span class="mi">12</span><span class="p">]</span>
|
|
<span class="p">[</span> <span class="mi">33</span> <span class="mi">29</span><span class="p">]]</span>
|
|
<span class="n">Top</span> <span class="k">like</span> <span class="n">features</span><span class="p">:</span>
|
|
<span class="p">[</span><span class="s1">'time'</span> <span class="s1">'Google'</span> <span class="s1">'Pro'</span> <span class="s1">'Apple'</span> <span class="s1">'new'</span> <span class="s1">'The'</span> <span class="s1">'Bitcoin'</span> <span class="s1">'price'</span> <span class="s1">'bitcoin'</span>
|
|
<span class="s1">'INTMASK'</span><span class="p">]</span>
|
|
<span class="c1">---</span>
|
|
<span class="n">Top</span> <span class="n">dislike</span> <span class="n">features</span><span class="p">:</span>
|
|
<span class="p">[</span><span class="s1">'ABBA'</span> <span class="s1">'categories'</span> <span class="s1">'catching'</span> <span class="s1">'catalyst'</span> <span class="s1">'catalog'</span> <span class="s1">'casually'</span> <span class="s1">'casts'</span>
|
|
<span class="s1">'cast'</span> <span class="s1">'cashier'</span> <span class="s1">'ran'</span><span class="p">]</span>
|
|
</pre></div>
|
|
|
|
|
|
<p><img alt="png" src="../images/recommender/output_15_2.png"></p>
|
|
</div>
|
|
<aside>
|
|
<div class="bug-reporting__panel">
|
|
<h3>Find an error or bug? Have a suggestion?</h3>
|
|
<p>Everything on this site is avaliable on GitHub. Head on over and <a href='https://github.com/redoules/redoules.github.io/issues/new'>submit an issue.</a> You can also message me directly by <a href='mailto:guillaume.redoules@gadz.org'>email</a>.</p>
|
|
</div>
|
|
</aside>
|
|
</section>
|
|
|
|
</div>
|
|
<!-- start of footer section -->
|
|
<footer class="footer">
|
|
<div class="container">
|
|
<p class="text-muted">
|
|
<center>This project contains 95 pages and is available on <a href="https://github.com/redoules/redoules.github.io">GitHub</a>.
|
|
<br/>
|
|
Copyright © Guillaume Redoulès,
|
|
<time datetime="2018">2018</time>.
|
|
</center>
|
|
</p>
|
|
</div>
|
|
</footer>
|
|
|
|
<!-- This jQuery line finds any span that contains code highlighting classes and then selects the parent <pre> tag and adds a border. This is done as a workaround to visually distinguish the code inputs and outputs -->
|
|
<script>
|
|
$( ".hll, .n, .c, .err, .k, .o, .cm, .cp, .c1, .cs, .gd, .ge, .gr, .gh, .gi, .go, .gp, .gs, .gu, .gt, .kc, .kd, .kn, .kp, .kr, .kt, .m, .s, .na, .nb, .nc, .no, .nd, .ni, .ne, .nf, .nl, .nn, .nt, .nv, .ow, .w, .mf, .mh, .mi, .mo, .sb, .sc, .sd, .s2, .se, .sh, .si, .sx, .sr, .s1, .ss, .bp, .vc, .vg, .vi, .il" ).parent( "pre" ).css( "border", "1px solid #DEDEDE" );
|
|
</script>
|
|
|
|
|
|
<!-- Load Google Analytics -->
|
|
<script>
|
|
/*
|
|
(function(i, s, o, g, r, a, m) {
|
|
i['GoogleAnalyticsObject'] = r;
|
|
i[r] = i[r] || function() {
|
|
(i[r].q = i[r].q || []).push(arguments)
|
|
}, i[r].l = 1 * new Date();
|
|
a = s.createElement(o),
|
|
m = s.getElementsByTagName(o)[0];
|
|
a.async = 1;
|
|
a.src = g;
|
|
m.parentNode.insertBefore(a, m)
|
|
})(window, document, 'script', '//www.google-analytics.com/analytics.js', 'ga');
|
|
|
|
ga('create', 'UA-66582-32', 'auto');
|
|
ga('send', 'pageview');
|
|
*/
|
|
</script>
|
|
<!-- End of Google Analytics -->
|
|
|
|
<!-- Bootstrap core JavaScript
|
|
================================================== -->
|
|
<!-- Placed at the end of the document so the pages load faster -->
|
|
<script src="../theme/js/bootstrap.min.js"></script>
|
|
<!-- IE10 viewport hack for Surface/desktop Windows 8 bug -->
|
|
<script src="../theme/js/ie10-viewport-bug-workaround.js"></script>
|
|
|
|
|
|
</body>
|
|
|
|
</html> |