forked from MAIF/shapash
-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
153 lines (150 loc) 路 7.13 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<!-- Latest compiled and minified CSS -->
<link href="https://stackpath.bootstrapcdn.com/bootstrap/3.4.0/css/bootstrap.min.css" rel="stylesheet"
integrity="sha384-PmY9l28YgO4JwMKbTvgaS7XNZJ30MK9FAZjjzXtlqyZCqBY6X6bXIkM++IkyinN+" crossorigin="anonymous">
<link href="https://fonts.googleapis.com/css?family=Arvo|Roboto" rel="stylesheet">
<link href="https://maxcdn.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css" rel="stylesheet">
<link href="assets/css/style.css" rel="stylesheet">
<link rel="icon" type="image/png" href="assets/images/logos/favicon.png">
<!--[if IE]>
<link rel="shortcut icon" type="image/x-icon" href="/assets/images/favicon.ico">
-->
<title>Shapash by MAIF</title>
<script type="text/javascript" src="assets/js/tarteaucitron/tarteaucitron.js"></script>
<script type="text/javascript">
tarteaucitron.init({
"hashtag": "#tarteaucitron", /* Ouverture automatique du panel avec le hashtag */
"highPrivacy": false, /* d茅sactiver le consentement implicite (en naviguant) ? */
"orientation": "top", /* le bandeau doit 锚tre en haut (top) ou en bas (bottom) ? */
"adblocker": false, /* Afficher un message si un adblocker est d茅tect茅 */
"showAlertSmall": false, /* afficher le petit bandeau en bas 脿 droite ? */
"cookieslist": true, /* Afficher la liste des cookies install茅s ? */
"removeCredit": false /* supprimer le lien vers la source ? */
});
</script>
</head>
<body>
<div class="home">
<a href="https://maif.github.io/"><i class="fa fa-home fa-2x" aria-hidden="true"></i></a>
</div>
<div class="container">
<div class="row">
<div class="col-sm-4 entete sidebar">
<div class="sidebar-container">
<div class="sidebar-content">
<img alt="logo shapash" src="assets/images/svg/shapash-github.svg">
<img alt="logo python" class="tagN2" src="assets/images/svg/etiquette.svg">
</div>
</div>
</div>
<div class="col-sm-8 col-sm-offset-4">
<div class="row contentN2">
<div class="col-md-6 col-xs-12 colDashRight">
<ul class="titleOnLine">
<li>make machine</li>
<li>learning models</li>
<li>transparent and</li>
<li>understandable</li>
<li>by everyone</li>
</ul>
<p class="intro">
Shapash is a Python library dedicated to the interpretability of Data Science models. It provides several
types of visualization that display explicit labels that everyone can understand. Data Scientists can more
easily understand their models, share their results and easily document their projects in a html report.
End users can understand the suggestion proposed by a model using a summary of the most influential
criteria.
</p>
<div class="details">
<h1>Features</h1>
<ul>
<li>Compatible with Shap and Lime</li>
<li>Uses shap backend to display results in a few lines of code</li>
<li>Encoders objects and features dictionaries used for clear results</li>
<li>Compatible with category_encoders & Sklearn ColumnTransformer</li>
<li>Visualizations of global and local explainability</li>
<li>Webapp to easily navigate from global to local</li>
<li>Summarizes local explanation</li>
<li>Offers several parameters in order to summarize in the most suitable way for your use case</li>
<li>Exports your local summaries to a Pandas DataFrame</li>
<li>Usable for Regression, Binary Classification or Multiclass</li>
<li>Compatible with most of sklearn, lightgbm, catboost, xgboost models</li>
<li>Relevant for exploration and also deployment (through an API or in Batch mode)</li>
<li>Freeze different aspects of a data science project as a basis of an audit report</li>
<li>Regroup features that share common properties together</li>
<li>Explainability Quality Metrics to increase confidence in explainability methods</li>
<li>Select subsets for further analysis of explainability by filtering on explanatory and additional features, correct or wrong predictions</li>
</ul>
</div>
</div>
<div class="col-md-6 col-xs-12 more-details">
<img alt="logo" src="assets/images/svg/configure.svg" class="pictoPortrait">
<h2>easy to set up</h2>
<p>Provide a SmartExplainer class to understand your model and summarize explanation with a simple syntax
</p>
<img alt="logo" src="assets/images/svg/latency.svg" class="pictoPaysage">
<h2>high adaptability</h2>
<p>Very few arguments are required to display results. But the more you work on cleaning and documenting the
data, the clearer the results will be for the end user</p>
<div class="row contentCircle">
<div class="col-md-12 col-xs-4">
<a href="http:https://github.com/MAIF/shapash">
<div class="outer-circle">
<div class="inner-circle">
<p>GITHUB</p>
</div>
</div>
</a>
</div>
<div class="col-md-12 col-xs-4">
<a href="https://shapash.readthedocs.io/en/latest/">
<div class="outer-circle">
<div class="inner-circle">
<p>DOC</p>
</div>
</div>
</a>
</div>
<div class="col-md-12 col-xs-4">
<a href="https://shapash-demo.ossbymaif.fr/">
<div class="outer-circle">
<div class="inner-circle">
<p>WEBAPP</p>
</div>
</div>
</a>
</div>
<div class="col-md-12 col-xs-4">
<a href="https://shapash.readthedocs.io/en/latest/report.html">
<div class="outer-circle">
<div class="inner-circle">
<p>REPORT</p>
</div>
</div>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="container-fluid">
<div class="row">
<div class="footer-contentN2">
<img src="assets/images/svg/footer.svg">
</div>
</div>
</div>
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-112498312-1"></script>
<script type="text/javascript">
tarteaucitron.user.analyticsUa = 'UA-112498312-1';
tarteaucitron.user.analyticsMore = function () { };
(tarteaucitron.job = tarteaucitron.job || []).push('analytics');
</script>
</body>
</html>