-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathlightning.classification.SAGAClassifier.html
407 lines (375 loc) · 23.3 KB
/
lightning.classification.SAGAClassifier.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
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>lightning.classification.SAGAClassifier — lightning dev documentation</title>
<link rel="stylesheet" href="../_static/basic.css" type="text/css" />
<link rel="stylesheet" href="../_static/pygments.css" type="text/css" />
<link rel="stylesheet" href="../_static/lightning.css" type="text/css" />
<link rel="stylesheet" href="../_static/bootstrap.min.css" type="text/css" />
<link rel="stylesheet" href="../_static/bootstrap-3.3.4/css/bootstrap.min.css" type="text/css" />
<link rel="stylesheet" href="../_static/bootstrap-3.3.4/css/bootstrap-theme.min.css" type="text/css" />
<link rel="stylesheet" href="../_static/bootstrap-sphinx.css" type="text/css" />
<script type="text/javascript">
var DOCUMENTATION_OPTIONS = {
URL_ROOT: '../',
VERSION: 'dev',
COLLAPSE_INDEX: false,
FILE_SUFFIX: '.html',
HAS_SOURCE: true
};
</script>
<script type="text/javascript" src="../_static/jquery.js"></script>
<script type="text/javascript" src="../_static/underscore.js"></script>
<script type="text/javascript" src="../_static/doctools.js"></script>
<script type="text/javascript" src="../_static/js/jquery-1.11.0.min.js"></script>
<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
<script type="text/javascript" src="../_static/bootstrap-3.3.4/js/bootstrap.min.js"></script>
<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
<link rel="top" title="lightning dev documentation" href="../index.html" />
<link rel="up" title="Classification" href="../references.html" />
<link rel="next" title="lightning.classification.SGDClassifier" href="lightning.classification.SGDClassifier.html" />
<link rel="prev" title="lightning.classification.SAGClassifier" href="lightning.classification.SAGClassifier.html" />
<meta charset='utf-8'>
<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
<meta name="apple-mobile-web-app-capable" content="yes">
</head>
<body>
<div id="navbar" class="navbar navbar-default navbar-fixed-top">
<div class="container">
<div class="navbar-header">
<!-- .btn-navbar is used as the toggle for collapsed navbar content -->
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="../index.html">
lightning</a>
<span class="navbar-text navbar-version pull-left"><b>dev</b></span>
</div>
<div class="collapse navbar-collapse nav-collapse">
<ul class="nav navbar-nav">
<li><a href="../intro.html">Introduction</a></li>
<li><a href="../references.html">References</a></li>
<li><a href="../auto_examples/index.html">Examples</a></li>
<li class="dropdown globaltoc-container">
<a role="button"
id="dLabelGlobalToc"
data-toggle="dropdown"
data-target="#"
href="../index.html">Site <b class="caret"></b></a>
<ul class="dropdown-menu globaltoc"
role="menu"
aria-labelledby="dLabelGlobalToc"><ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../auto_examples/index.html">Examples</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../auto_examples/plot_sgd_loss_functions.html">SGD: Convex Loss Functions</a></li>
<li class="toctree-l2"><a class="reference internal" href="../auto_examples/plot_robust_regression.html">Robust regression</a></li>
<li class="toctree-l2"><a class="reference internal" href="../auto_examples/trace.html">Trace norm</a></li>
<li class="toctree-l2"><a class="reference internal" href="../auto_examples/document_classification_news20.html">Classification of text documents</a></li>
<li class="toctree-l2"><a class="reference internal" href="../auto_examples/plot_svrg.html">Sensitivity to hyper-parameters in SVRG</a></li>
<li class="toctree-l2"><a class="reference internal" href="../auto_examples/plot_sparse_non_linear.html">Sparse non-linear classification</a></li>
<li class="toctree-l2"><a class="reference internal" href="../auto_examples/plot_l2_solvers.html">L2 solver comparison</a></li>
</ul>
</li>
<li class="toctree-l1 current"><a class="reference internal" href="../references.html">Classification</a><ul class="current">
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.AdaGradClassifier.html">lightning.classification.AdaGradClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.CDClassifier.html">lightning.classification.CDClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.FistaClassifier.html">lightning.classification.FistaClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.KernelSVC.html">lightning.classification.KernelSVC</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.LinearSVC.html">lightning.classification.LinearSVC</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.SDCAClassifier.html">lightning.classification.SDCAClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.SAGClassifier.html">lightning.classification.SAGClassifier</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="">lightning.classification.SAGAClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.SGDClassifier.html">lightning.classification.SGDClassifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.classification.SVRGClassifier.html">lightning.classification.SVRGClassifier</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../references.html#regression">Regression</a><ul>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.AdaGradRegressor.html">lightning.regression.AdaGradRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.CDRegressor.html">lightning.regression.CDRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.FistaRegressor.html">lightning.regression.FistaRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.LinearSVR.html">lightning.regression.LinearSVR</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.SAGRegressor.html">lightning.regression.SAGRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.SAGARegressor.html">lightning.regression.SAGARegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.SDCARegressor.html">lightning.regression.SDCARegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.SGDRegressor.html">lightning.regression.SGDRegressor</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.regression.SVRGRegressor.html">lightning.regression.SVRGRegressor</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../references.html#ranking">Ranking</a><ul>
<li class="toctree-l2"><a class="reference internal" href="lightning.ranking.PRank.html">lightning.ranking.PRank</a></li>
<li class="toctree-l2"><a class="reference internal" href="lightning.ranking.KernelPRank.html">lightning.ranking.KernelPRank</a></li>
</ul>
</li>
<li class="toctree-l1 current"><a class="reference internal" href="../intro.html">Introduction</a><ul class="current">
<li class="toctree-l2"><a class="reference internal" href="../intro.html#primal-coordinate-descent">Primal coordinate descent</a></li>
<li class="toctree-l2"><a class="reference internal" href="../intro.html#dual-coordinate-ascent">Dual coordinate ascent</a></li>
<li class="toctree-l2"><a class="reference internal" href="../intro.html#fista">FISTA</a></li>
<li class="toctree-l2"><a class="reference internal" href="../intro.html#stochastic-gradient-method-sgd">Stochastic gradient method (SGD)</a></li>
<li class="toctree-l2"><a class="reference internal" href="../intro.html#adagrad">AdaGrad</a></li>
<li class="toctree-l2"><a class="reference internal" href="../intro.html#stochastic-averaged-gradient-sag">Stochastic averaged gradient (SAG)</a></li>
<li class="toctree-l2"><a class="reference internal" href="../intro.html#stochastic-variance-reduced-gradient-svrg">Stochastic variance-reduced gradient (SVRG)</a></li>
<li class="toctree-l2 current"><a class="reference internal" href="../intro.html#prank">PRank</a><ul class="current">
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/index.html">Examples</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../auto_examples/plot_sgd_loss_functions.html">SGD: Convex Loss Functions</a></li>
<li class="toctree-l4"><a class="reference internal" href="../auto_examples/plot_robust_regression.html">Robust regression</a></li>
<li class="toctree-l4"><a class="reference internal" href="../auto_examples/trace.html">Trace norm</a></li>
<li class="toctree-l4"><a class="reference internal" href="../auto_examples/document_classification_news20.html">Classification of text documents</a></li>
<li class="toctree-l4"><a class="reference internal" href="../auto_examples/plot_svrg.html">Sensitivity to hyper-parameters in SVRG</a></li>
<li class="toctree-l4"><a class="reference internal" href="../auto_examples/plot_sparse_non_linear.html">Sparse non-linear classification</a></li>
<li class="toctree-l4"><a class="reference internal" href="../auto_examples/plot_l2_solvers.html">L2 solver comparison</a></li>
</ul>
</li>
<li class="toctree-l3 current"><a class="reference internal" href="../references.html">Classification</a><ul class="current">
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.AdaGradClassifier.html">lightning.classification.AdaGradClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.CDClassifier.html">lightning.classification.CDClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.FistaClassifier.html">lightning.classification.FistaClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.KernelSVC.html">lightning.classification.KernelSVC</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.LinearSVC.html">lightning.classification.LinearSVC</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.SDCAClassifier.html">lightning.classification.SDCAClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.SAGClassifier.html">lightning.classification.SAGClassifier</a></li>
<li class="toctree-l4 current"><a class="current reference internal" href="">lightning.classification.SAGAClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.SGDClassifier.html">lightning.classification.SGDClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.classification.SVRGClassifier.html">lightning.classification.SVRGClassifier</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../references.html#regression">Regression</a><ul>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.AdaGradRegressor.html">lightning.regression.AdaGradRegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.CDRegressor.html">lightning.regression.CDRegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.FistaRegressor.html">lightning.regression.FistaRegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.LinearSVR.html">lightning.regression.LinearSVR</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.SAGRegressor.html">lightning.regression.SAGRegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.SAGARegressor.html">lightning.regression.SAGARegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.SDCARegressor.html">lightning.regression.SDCARegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.SGDRegressor.html">lightning.regression.SGDRegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.regression.SVRGRegressor.html">lightning.regression.SVRGRegressor</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../references.html#ranking">Ranking</a><ul>
<li class="toctree-l4"><a class="reference internal" href="lightning.ranking.PRank.html">lightning.ranking.PRank</a></li>
<li class="toctree-l4"><a class="reference internal" href="lightning.ranking.KernelPRank.html">lightning.ranking.KernelPRank</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</ul>
</li>
</ul>
<form class="navbar-form navbar-right" action="../search.html" method="get">
<div class="form-group">
<input type="text" name="q" class="form-control" placeholder="Search" />
</div>
<input type="hidden" name="check_keywords" value="yes" />
<input type="hidden" name="area" value="default" />
</form>
</div>
</div>
</div>
<div class="container content-container">
<div class="section" id="lightning-classification-sagaclassifier">
<h1>lightning.classification.SAGAClassifier<a class="headerlink" href="#lightning-classification-sagaclassifier" title="Permalink to this headline">¶</a></h1>
<dl class="class">
<dt id="lightning.classification.SAGAClassifier">
<em class="property">class </em><tt class="descclassname">lightning.classification.</tt><tt class="descname">SAGAClassifier</tt><big>(</big><em>eta='auto'</em>, <em>alpha=1.0</em>, <em>beta=0.0</em>, <em>loss='smooth_hinge'</em>, <em>penalty=None</em>, <em>gamma=1.0</em>, <em>max_iter=10</em>, <em>n_inner=1.0</em>, <em>tol=0.001</em>, <em>verbose=0</em>, <em>callback=None</em>, <em>random_state=None</em><big>)</big><a class="headerlink" href="#lightning.classification.SAGAClassifier" title="Permalink to this definition">¶</a></dt>
<dd><p>Estimator for learning linear classifiers by SAGA.</p>
<p>Solves the following objective:</p>
<blockquote>
<div><dl class="docutils">
<dt>minimize_w 1 / n_samples * sum_i loss(w^T x_i, y_i)</dt>
<dd><ul class="first last simple">
<li>alpha * 0.5 * ||w||^2_2 + beta * penalty(w)</li>
</ul>
</dd>
</dl>
</div></blockquote>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>eta</strong> : float or string, defaults to ‘auto’</p>
<blockquote>
<div><p>step size for the gradient updates. If set to ‘auto’,
this will calculate a step size based on the input data.</p>
</div></blockquote>
<p><strong>alpha</strong> : float</p>
<blockquote>
<div><p>amount of squared L2 regularization</p>
</div></blockquote>
<p><strong>beta</strong> : float</p>
<blockquote>
<div><p>amount of regularization for the penalty term</p>
</div></blockquote>
<p><strong>loss</strong> : string</p>
<blockquote>
<div><p>loss to use in the objective function. Can be one of
“smooth_hinge”, “squared_hinge” or “log” (for logistic loss).</p>
</div></blockquote>
<p><strong>penalty</strong> : string or Penalty object</p>
<blockquote>
<div><p>penalty term to use in the objective function. Can be “l1”
or a custom Penalty object (object defined in
lightning/impl/sag_fast.pxd)</p>
</div></blockquote>
<p><strong>gamma</strong> : float</p>
<blockquote>
<div><p>gamma parameter in the “smooth_hinge” loss (not used for other
loss functions)</p>
</div></blockquote>
<p><strong>max_iter</strong> : int</p>
<blockquote>
<div><p>maximum number of outer iterations (also known as epochs).</p>
</div></blockquote>
<p><strong>tol</strong> : float</p>
<blockquote>
<div><p>stopping criterion tolerance.</p>
</div></blockquote>
<p><strong>verbose</strong> : int</p>
<blockquote>
<div><p>verbosity level. Set positive to print progress information.</p>
</div></blockquote>
<p><strong>callback</strong> : callable or None</p>
<blockquote>
<div><p>if given, callback(self) will be called on each outer iteration
(epoch).</p>
</div></blockquote>
<p><strong>random_state: int or RandomState</strong> :</p>
<blockquote class="last">
<div><p>Pseudo-random number generator state used for random sampling.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Methods</p>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><tt class="xref py py-obj docutils literal"><span class="pre">decision_function</span></tt>(X)</td>
<td></td>
</tr>
<tr class="row-even"><td><tt class="xref py py-obj docutils literal"><span class="pre">fit</span></tt>(X, y)</td>
<td></td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#lightning.classification.SAGAClassifier.get_params" title="lightning.classification.SAGAClassifier.get_params"><tt class="xref py py-obj docutils literal"><span class="pre">get_params</span></tt></a>([deep])</td>
<td>Get parameters for this estimator.</td>
</tr>
<tr class="row-even"><td><tt class="xref py py-obj docutils literal"><span class="pre">n_nonzero</span></tt>([percentage])</td>
<td></td>
</tr>
<tr class="row-odd"><td><tt class="xref py py-obj docutils literal"><span class="pre">predict</span></tt>(X)</td>
<td></td>
</tr>
<tr class="row-even"><td><tt class="xref py py-obj docutils literal"><span class="pre">predict_proba</span></tt>(X)</td>
<td></td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="#lightning.classification.SAGAClassifier.score" title="lightning.classification.SAGAClassifier.score"><tt class="xref py py-obj docutils literal"><span class="pre">score</span></tt></a>(X, y[, sample_weight])</td>
<td>Returns the mean accuracy on the given test data and labels.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="#lightning.classification.SAGAClassifier.set_params" title="lightning.classification.SAGAClassifier.set_params"><tt class="xref py py-obj docutils literal"><span class="pre">set_params</span></tt></a>(**params)</td>
<td>Set the parameters of this estimator.</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="lightning.classification.SAGAClassifier.__init__">
<tt class="descname">__init__</tt><big>(</big><em>eta='auto'</em>, <em>alpha=1.0</em>, <em>beta=0.0</em>, <em>loss='smooth_hinge'</em>, <em>penalty=None</em>, <em>gamma=1.0</em>, <em>max_iter=10</em>, <em>n_inner=1.0</em>, <em>tol=0.001</em>, <em>verbose=0</em>, <em>callback=None</em>, <em>random_state=None</em><big>)</big><a class="headerlink" href="#lightning.classification.SAGAClassifier.__init__" title="Permalink to this definition">¶</a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="lightning.classification.SAGAClassifier.get_params">
<tt class="descname">get_params</tt><big>(</big><em>deep=True</em><big>)</big><a class="headerlink" href="#lightning.classification.SAGAClassifier.get_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Get parameters for this estimator.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>deep: boolean, optional</strong> :</p>
<blockquote>
<div><p>If True, will return the parameters for this estimator and
contained subobjects that are estimators.</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>params</strong> : mapping of string to any</p>
<blockquote class="last">
<div><p>Parameter names mapped to their values.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="lightning.classification.SAGAClassifier.score">
<tt class="descname">score</tt><big>(</big><em>X</em>, <em>y</em>, <em>sample_weight=None</em><big>)</big><a class="headerlink" href="#lightning.classification.SAGAClassifier.score" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the mean accuracy on the given test data and labels.</p>
<p>In multi-label classification, this is the subset accuracy
which is a harsh metric since you require for each sample that
each label set be correctly predicted.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>X</strong> : array-like, shape = (n_samples, n_features)</p>
<blockquote>
<div><p>Test samples.</p>
</div></blockquote>
<p><strong>y</strong> : array-like, shape = (n_samples) or (n_samples, n_outputs)</p>
<blockquote>
<div><p>True labels for X.</p>
</div></blockquote>
<p><strong>sample_weight</strong> : array-like, shape = [n_samples], optional</p>
<blockquote>
<div><p>Sample weights.</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>score</strong> : float</p>
<blockquote class="last">
<div><p>Mean accuracy of self.predict(X) wrt. y.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="method">
<dt id="lightning.classification.SAGAClassifier.set_params">
<tt class="descname">set_params</tt><big>(</big><em>**params</em><big>)</big><a class="headerlink" href="#lightning.classification.SAGAClassifier.set_params" title="Permalink to this definition">¶</a></dt>
<dd><p>Set the parameters of this estimator.</p>
<p>The method works on simple estimators as well as on nested objects
(such as pipelines). The former have parameters of the form
<tt class="docutils literal"><span class="pre"><component>__<parameter></span></tt> so that it’s possible to update each
component of a nested object.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body"><strong>self</strong> :</td>
</tr>
</tbody>
</table>
</dd></dl>
</dd></dl>
</div>
</div>
<footer class="footer">
<div class="container">
<p class="pull-right">
<a href="#">Back to top</a>
</p>
<p>
© Copyright Mathieu Blondel.<br/>
Created using <a href="http://sphinx-doc.org/">Sphinx</a> 1.2.3.<br/>
</p>
</div>
</footer>
</body>
</html>