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
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
|
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<!-- NewPage -->
<html lang="en">
<head>
<!-- Generated by javadoc (version 1.7.0_51) on Wed Sep 16 15:55:11 PDT 2015 -->
<title>RandomForestRegressionModel</title>
<meta name="date" content="2015-09-16">
<link rel="stylesheet" type="text/css" href="../../../../../stylesheet.css" title="Style">
</head>
<body>
<script type="text/javascript"><!--
if (location.href.indexOf('is-external=true') == -1) {
parent.document.title="RandomForestRegressionModel";
}
//-->
</script>
<noscript>
<div>JavaScript is disabled on your browser.</div>
</noscript>
<!-- ========= START OF TOP NAVBAR ======= -->
<div class="topNav"><a name="navbar_top">
<!-- -->
</a><a href="#skip-navbar_top" title="Skip navigation links"></a><a name="navbar_top_firstrow">
<!-- -->
</a>
<ul class="navList" title="Navigation">
<li><a href="../../../../../overview-summary.html">Overview</a></li>
<li><a href="package-summary.html">Package</a></li>
<li class="navBarCell1Rev">Class</li>
<li><a href="package-tree.html">Tree</a></li>
<li><a href="../../../../../deprecated-list.html">Deprecated</a></li>
<li><a href="../../../../../index-all.html">Index</a></li>
<li><a href="../../../../../help-doc.html">Help</a></li>
</ul>
</div>
<div class="subNav">
<ul class="navList">
<li><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionTrainingSummary.html" title="class in org.apache.spark.ml.regression"><span class="strong">Prev Class</span></a></li>
<li><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressor.html" title="class in org.apache.spark.ml.regression"><span class="strong">Next Class</span></a></li>
</ul>
<ul class="navList">
<li><a href="../../../../../index.html?org/apache/spark/ml/regression/RandomForestRegressionModel.html" target="_top">Frames</a></li>
<li><a href="RandomForestRegressionModel.html" target="_top">No Frames</a></li>
</ul>
<ul class="navList" id="allclasses_navbar_top">
<li><a href="../../../../../allclasses-noframe.html">All Classes</a></li>
</ul>
<div>
<script type="text/javascript"><!--
allClassesLink = document.getElementById("allclasses_navbar_top");
if(window==top) {
allClassesLink.style.display = "block";
}
else {
allClassesLink.style.display = "none";
}
//-->
</script>
</div>
<div>
<ul class="subNavList">
<li>Summary: </li>
<li>Nested | </li>
<li>Field | </li>
<li>Constr | </li>
<li><a href="#method_summary">Method</a></li>
</ul>
<ul class="subNavList">
<li>Detail: </li>
<li>Field | </li>
<li>Constr | </li>
<li><a href="#method_detail">Method</a></li>
</ul>
</div>
<a name="skip-navbar_top">
<!-- -->
</a></div>
<!-- ========= END OF TOP NAVBAR ========= -->
<!-- ======== START OF CLASS DATA ======== -->
<div class="header">
<div class="subTitle">org.apache.spark.ml.regression</div>
<h2 title="Class RandomForestRegressionModel" class="title">Class RandomForestRegressionModel</h2>
</div>
<div class="contentContainer">
<ul class="inheritance">
<li>java.lang.Object</li>
<li>
<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/ml/PipelineStage.html" title="class in org.apache.spark.ml">org.apache.spark.ml.PipelineStage</a></li>
<li>
<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/ml/Transformer.html" title="class in org.apache.spark.ml">org.apache.spark.ml.Transformer</a></li>
<li>
<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">org.apache.spark.ml.Model</a><M></li>
<li>
<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">org.apache.spark.ml.PredictionModel</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a>></li>
<li>
<ul class="inheritance">
<li>org.apache.spark.ml.regression.RandomForestRegressionModel</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<div class="description">
<ul class="blockList">
<li class="blockList">
<dl>
<dt>All Implemented Interfaces:</dt>
<dd>java.io.Serializable, <a href="../../../../../org/apache/spark/Logging.html" title="interface in org.apache.spark">Logging</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html" title="interface in org.apache.spark.ml.param">Params</a>, <a href="../../../../../org/apache/spark/ml/util/Identifiable.html" title="interface in org.apache.spark.ml.util">Identifiable</a></dd>
</dl>
<hr>
<br>
<pre>public final class <span class="strong">RandomForestRegressionModel</span>
extends <a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a>>
implements scala.Serializable</pre>
<div class="block">:: Experimental ::
<code>Random Forest</code> model for regression.
It supports both continuous and categorical features.
param: _trees Decision trees in the ensemble.
param: numFeatures Number of features used by this model</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../serialized-form.html#org.apache.spark.ml.regression.RandomForestRegressionModel">Serialized Form</a></dd></dl>
</li>
</ul>
</div>
<div class="summary">
<ul class="blockList">
<li class="blockList">
<!-- ========== METHOD SUMMARY =========== -->
<ul class="blockList">
<li class="blockList"><a name="method_summary">
<!-- -->
</a>
<h3>Method Summary</h3>
<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
<caption><span>Methods</span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#copy(org.apache.spark.ml.param.ParamMap)">copy</a></strong>(<a href="../../../../../org/apache/spark/ml/param/ParamMap.html" title="class in org.apache.spark.ml.param">ParamMap</a> extra)</code>
<div class="block">Creates a copy of this instance with the same UID and some extra params.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#featureImportances()">featureImportances</a></strong>()</code>
<div class="block">Estimate of the importance of each feature.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#fromOld(org.apache.spark.mllib.tree.model.RandomForestModel, org.apache.spark.ml.regression.RandomForestRegressor, scala.collection.immutable.Map)">fromOld</a></strong>(<a href="../../../../../org/apache/spark/mllib/tree/model/RandomForestModel.html" title="class in org.apache.spark.mllib.tree.model">RandomForestModel</a> oldModel,
<a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressor.html" title="class in org.apache.spark.ml.regression">RandomForestRegressor</a> parent,
scala.collection.immutable.Map<java.lang.Object,java.lang.Object> categoricalFeatures)</code>
<div class="block">(private[ml]) Convert a model from the old API</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#numFeatures()">numFeatures</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>protected double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#predict(org.apache.spark.mllib.linalg.Vector)">predict</a></strong>(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a> features)</code>
<div class="block">Predict label for the given features.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#toString()">toString</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>protected <a href="../../../../../org/apache/spark/sql/DataFrame.html" title="class in org.apache.spark.sql">DataFrame</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#transformImpl(org.apache.spark.sql.DataFrame)">transformImpl</a></strong>(<a href="../../../../../org/apache/spark/sql/DataFrame.html" title="class in org.apache.spark.sql">DataFrame</a> dataset)</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>org.apache.spark.ml.tree.DecisionTreeModel[]</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#trees()">trees</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double[]</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#treeWeights()">treeWeights</a></strong>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#uid()">uid</a></strong>()</code>
<div class="block">An immutable unique ID for the object and its derivatives.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html#validateAndTransformSchema(org.apache.spark.sql.types.StructType, boolean, org.apache.spark.sql.types.DataType)">validateAndTransformSchema</a></strong>(<a href="../../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a> schema,
boolean fitting,
<a href="../../../../../org/apache/spark/sql/types/DataType.html" title="class in org.apache.spark.sql.types">DataType</a> featuresDataType)</code>
<div class="block">Validates and transforms the input schema with the provided param map.</div>
</td>
</tr>
</table>
<ul class="blockList">
<li class="blockList"><a name="methods_inherited_from_class_org.apache.spark.ml.PredictionModel">
<!-- -->
</a>
<h3>Methods inherited from class org.apache.spark.ml.<a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a></h3>
<code><a href="../../../../../org/apache/spark/ml/PredictionModel.html#featuresDataType()">featuresDataType</a>, <a href="../../../../../org/apache/spark/ml/PredictionModel.html#setFeaturesCol(java.lang.String)">setFeaturesCol</a>, <a href="../../../../../org/apache/spark/ml/PredictionModel.html#setPredictionCol(java.lang.String)">setPredictionCol</a>, <a href="../../../../../org/apache/spark/ml/PredictionModel.html#transform(org.apache.spark.sql.DataFrame)">transform</a>, <a href="../../../../../org/apache/spark/ml/PredictionModel.html#transformSchema(org.apache.spark.sql.types.StructType)">transformSchema</a></code></li>
</ul>
<ul class="blockList">
<li class="blockList"><a name="methods_inherited_from_class_org.apache.spark.ml.Model">
<!-- -->
</a>
<h3>Methods inherited from class org.apache.spark.ml.<a href="../../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">Model</a></h3>
<code><a href="../../../../../org/apache/spark/ml/Model.html#hasParent()">hasParent</a>, <a href="../../../../../org/apache/spark/ml/Model.html#parent()">parent</a>, <a href="../../../../../org/apache/spark/ml/Model.html#setParent(org.apache.spark.ml.Estimator)">setParent</a></code></li>
</ul>
<ul class="blockList">
<li class="blockList"><a name="methods_inherited_from_class_org.apache.spark.ml.Transformer">
<!-- -->
</a>
<h3>Methods inherited from class org.apache.spark.ml.<a href="../../../../../org/apache/spark/ml/Transformer.html" title="class in org.apache.spark.ml">Transformer</a></h3>
<code><a href="../../../../../org/apache/spark/ml/Transformer.html#transform(org.apache.spark.sql.DataFrame, org.apache.spark.ml.param.ParamMap)">transform</a>, <a href="../../../../../org/apache/spark/ml/Transformer.html#transform(org.apache.spark.sql.DataFrame, org.apache.spark.ml.param.ParamPair, org.apache.spark.ml.param.ParamPair...)">transform</a>, <a href="../../../../../org/apache/spark/ml/Transformer.html#transform(org.apache.spark.sql.DataFrame, org.apache.spark.ml.param.ParamPair, scala.collection.Seq)">transform</a></code></li>
</ul>
<ul class="blockList">
<li class="blockList"><a name="methods_inherited_from_class_org.apache.spark.ml.PipelineStage">
<!-- -->
</a>
<h3>Methods inherited from class org.apache.spark.ml.<a href="../../../../../org/apache/spark/ml/PipelineStage.html" title="class in org.apache.spark.ml">PipelineStage</a></h3>
<code><a href="../../../../../org/apache/spark/ml/PipelineStage.html#transformSchema(org.apache.spark.sql.types.StructType, boolean)">transformSchema</a></code></li>
</ul>
<ul class="blockList">
<li class="blockList"><a name="methods_inherited_from_class_java.lang.Object">
<!-- -->
</a>
<h3>Methods inherited from class java.lang.Object</h3>
<code>clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait</code></li>
</ul>
<ul class="blockList">
<li class="blockList"><a name="methods_inherited_from_class_org.apache.spark.ml.param.Params">
<!-- -->
</a>
<h3>Methods inherited from interface org.apache.spark.ml.param.<a href="../../../../../org/apache/spark/ml/param/Params.html" title="interface in org.apache.spark.ml.param">Params</a></h3>
<code><a href="../../../../../org/apache/spark/ml/param/Params.html#clear(org.apache.spark.ml.param.Param)">clear</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#copyValues(T, org.apache.spark.ml.param.ParamMap)">copyValues</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#defaultCopy(org.apache.spark.ml.param.ParamMap)">defaultCopy</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#defaultParamMap()">defaultParamMap</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#explainParam(org.apache.spark.ml.param.Param)">explainParam</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#explainParams()">explainParams</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#extractParamMap()">extractParamMap</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#extractParamMap(org.apache.spark.ml.param.ParamMap)">extractParamMap</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#get(org.apache.spark.ml.param.Param)">get</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#getDefault(org.apache.spark.ml.param.Param)">getDefault</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#getOrDefault(org.apache.spark.ml.param.Param)">getOrDefault</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#getParam(java.lang.String)">getParam</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#hasDefault(org.apache.spark.ml.param.Param)">hasDefault</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#hasParam(java.lang.String)">hasParam</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#isDefined(org.apache.spark.ml.param.Param)">isDefined</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#isSet(org.apache.spark.ml.param.Param)">isSet</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#paramMap()">paramMap</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#params()">params</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#set(org.apache.spark.ml.param.Param, T)">set</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#set(org.apache.spark.ml.param.ParamPair)">set</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#set(java.lang.String, java.lang.Object)">set</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#setDefault(org.apache.spark.ml.param.Param, T)">setDefault</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#setDefault(scala.collection.Seq)">setDefault</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#shouldOwn(org.apache.spark.ml.param.Param)">shouldOwn</a>, <a href="../../../../../org/apache/spark/ml/param/Params.html#validateParams()">validateParams</a></code></li>
</ul>
<ul class="blockList">
<li class="blockList"><a name="methods_inherited_from_class_org.apache.spark.Logging">
<!-- -->
</a>
<h3>Methods inherited from interface org.apache.spark.<a href="../../../../../org/apache/spark/Logging.html" title="interface in org.apache.spark">Logging</a></h3>
<code><a href="../../../../../org/apache/spark/Logging.html#initializeIfNecessary()">initializeIfNecessary</a>, <a href="../../../../../org/apache/spark/Logging.html#initializeLogging()">initializeLogging</a>, <a href="../../../../../org/apache/spark/Logging.html#isTraceEnabled()">isTraceEnabled</a>, <a href="../../../../../org/apache/spark/Logging.html#log_()">log_</a>, <a href="../../../../../org/apache/spark/Logging.html#log()">log</a>, <a href="../../../../../org/apache/spark/Logging.html#logDebug(scala.Function0)">logDebug</a>, <a href="../../../../../org/apache/spark/Logging.html#logDebug(scala.Function0, java.lang.Throwable)">logDebug</a>, <a href="../../../../../org/apache/spark/Logging.html#logError(scala.Function0)">logError</a>, <a href="../../../../../org/apache/spark/Logging.html#logError(scala.Function0, java.lang.Throwable)">logError</a>, <a href="../../../../../org/apache/spark/Logging.html#logInfo(scala.Function0)">logInfo</a>, <a href="../../../../../org/apache/spark/Logging.html#logInfo(scala.Function0, java.lang.Throwable)">logInfo</a>, <a href="../../../../../org/apache/spark/Logging.html#logName()">logName</a>, <a href="../../../../../org/apache/spark/Logging.html#logTrace(scala.Function0)">logTrace</a>, <a href="../../../../../org/apache/spark/Logging.html#logTrace(scala.Function0, java.lang.Throwable)">logTrace</a>, <a href="../../../../../org/apache/spark/Logging.html#logWarning(scala.Function0)">logWarning</a>, <a href="../../../../../org/apache/spark/Logging.html#logWarning(scala.Function0, java.lang.Throwable)">logWarning</a></code></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
<div class="details">
<ul class="blockList">
<li class="blockList">
<!-- ============ METHOD DETAIL ========== -->
<ul class="blockList">
<li class="blockList"><a name="method_detail">
<!-- -->
</a>
<h3>Method Detail</h3>
<a name="fromOld(org.apache.spark.mllib.tree.model.RandomForestModel, org.apache.spark.ml.regression.RandomForestRegressor, scala.collection.immutable.Map)">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>fromOld</h4>
<pre>public static <a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a> fromOld(<a href="../../../../../org/apache/spark/mllib/tree/model/RandomForestModel.html" title="class in org.apache.spark.mllib.tree.model">RandomForestModel</a> oldModel,
<a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressor.html" title="class in org.apache.spark.ml.regression">RandomForestRegressor</a> parent,
scala.collection.immutable.Map<java.lang.Object,java.lang.Object> categoricalFeatures)</pre>
<div class="block">(private[ml]) Convert a model from the old API</div>
</li>
</ul>
<a name="uid()">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>uid</h4>
<pre>public java.lang.String uid()</pre>
<div class="block"><strong>Description copied from interface: <code><a href="../../../../../org/apache/spark/ml/util/Identifiable.html#uid()">Identifiable</a></code></strong></div>
<div class="block">An immutable unique ID for the object and its derivatives.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/util/Identifiable.html#uid()">uid</a></code> in interface <code><a href="../../../../../org/apache/spark/ml/util/Identifiable.html" title="interface in org.apache.spark.ml.util">Identifiable</a></code></dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
</li>
</ul>
<a name="numFeatures()">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>numFeatures</h4>
<pre>public int numFeatures()</pre>
</li>
</ul>
<a name="trees()">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>trees</h4>
<pre>public org.apache.spark.ml.tree.DecisionTreeModel[] trees()</pre>
</li>
</ul>
<a name="treeWeights()">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>treeWeights</h4>
<pre>public double[] treeWeights()</pre>
</li>
</ul>
<a name="transformImpl(org.apache.spark.sql.DataFrame)">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>transformImpl</h4>
<pre>protected <a href="../../../../../org/apache/spark/sql/DataFrame.html" title="class in org.apache.spark.sql">DataFrame</a> transformImpl(<a href="../../../../../org/apache/spark/sql/DataFrame.html" title="class in org.apache.spark.sql">DataFrame</a> dataset)</pre>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/PredictionModel.html#transformImpl(org.apache.spark.sql.DataFrame)">transformImpl</a></code> in class <code><a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a>></code></dd>
</dl>
</li>
</ul>
<a name="predict(org.apache.spark.mllib.linalg.Vector)">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>predict</h4>
<pre>protected double predict(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a> features)</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../../org/apache/spark/ml/PredictionModel.html#predict(FeaturesType)">PredictionModel</a></code></strong></div>
<div class="block">Predict label for the given features.
This internal method is used to implement <code>transform()</code> and output <code>predictionCol</code>.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/PredictionModel.html#predict(FeaturesType)">predict</a></code> in class <code><a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a><<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a>></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>features</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
</li>
</ul>
<a name="copy(org.apache.spark.ml.param.ParamMap)">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>copy</h4>
<pre>public <a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a> copy(<a href="../../../../../org/apache/spark/ml/param/ParamMap.html" title="class in org.apache.spark.ml.param">ParamMap</a> extra)</pre>
<div class="block"><strong>Description copied from interface: <code><a href="../../../../../org/apache/spark/ml/param/Params.html#copy(org.apache.spark.ml.param.ParamMap)">Params</a></code></strong></div>
<div class="block">Creates a copy of this instance with the same UID and some extra params.
Subclasses should implement this method and set the return type properly.
<p></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/param/Params.html#copy(org.apache.spark.ml.param.ParamMap)">copy</a></code> in interface <code><a href="../../../../../org/apache/spark/ml/param/Params.html" title="interface in org.apache.spark.ml.param">Params</a></code></dd>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/Model.html#copy(org.apache.spark.ml.param.ParamMap)">copy</a></code> in class <code><a href="../../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">Model</a><<a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressionModel.html" title="class in org.apache.spark.ml.regression">RandomForestRegressionModel</a>></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>extra</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd><dt><span class="strong">See Also:</span></dt><dd><code>defaultCopy()</code></dd></dl>
</li>
</ul>
<a name="toString()">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>toString</h4>
<pre>public java.lang.String toString()</pre>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/util/Identifiable.html#toString()">toString</a></code> in interface <code><a href="../../../../../org/apache/spark/ml/util/Identifiable.html" title="interface in org.apache.spark.ml.util">Identifiable</a></code></dd>
<dt><strong>Overrides:</strong></dt>
<dd><code>toString</code> in class <code>java.lang.Object</code></dd>
</dl>
</li>
</ul>
<a name="featureImportances()">
<!-- -->
</a>
<ul class="blockList">
<li class="blockList">
<h4>featureImportances</h4>
<pre>public <a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a> featureImportances()</pre>
<div class="block">Estimate of the importance of each feature.
<p>
This generalizes the idea of "Gini" importance to other losses,
following the explanation of Gini importance from "Random Forests" documentation
by Leo Breiman and Adele Cutler, and following the implementation from scikit-learn.
<p>
This feature importance is calculated as follows:
- Average over trees:
- importance(feature j) = sum (over nodes which split on feature j) of the gain,
where gain is scaled by the number of instances passing through node
- Normalize importances for tree based on total number of training instances used
to build tree.
- Normalize feature importance vector to sum to 1.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
</li>
</ul>
<a name="validateAndTransformSchema(org.apache.spark.sql.types.StructType, boolean, org.apache.spark.sql.types.DataType)">
<!-- -->
</a>
<ul class="blockListLast">
<li class="blockList">
<h4>validateAndTransformSchema</h4>
<pre>public <a href="../../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a> validateAndTransformSchema(<a href="../../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a> schema,
boolean fitting,
<a href="../../../../../org/apache/spark/sql/types/DataType.html" title="class in org.apache.spark.sql.types">DataType</a> featuresDataType)</pre>
<div class="block">Validates and transforms the input schema with the provided param map.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>schema</code> - input schema</dd><dd><code>fitting</code> - whether this is in fitting</dd><dd><code>featuresDataType</code> - SQL DataType for FeaturesType.
E.g., <a href="../../../../../org/apache/spark/mllib/linalg/VectorUDT.html" title="class in org.apache.spark.mllib.linalg"><code>VectorUDT</code></a> for vector features.</dd>
<dt><span class="strong">Returns:</span></dt><dd>output schema</dd></dl>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
</div>
<!-- ========= END OF CLASS DATA ========= -->
<!-- ======= START OF BOTTOM NAVBAR ====== -->
<div class="bottomNav"><a name="navbar_bottom">
<!-- -->
</a><a href="#skip-navbar_bottom" title="Skip navigation links"></a><a name="navbar_bottom_firstrow">
<!-- -->
</a>
<ul class="navList" title="Navigation">
<li><a href="../../../../../overview-summary.html">Overview</a></li>
<li><a href="package-summary.html">Package</a></li>
<li class="navBarCell1Rev">Class</li>
<li><a href="package-tree.html">Tree</a></li>
<li><a href="../../../../../deprecated-list.html">Deprecated</a></li>
<li><a href="../../../../../index-all.html">Index</a></li>
<li><a href="../../../../../help-doc.html">Help</a></li>
</ul>
</div>
<div class="subNav">
<ul class="navList">
<li><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionTrainingSummary.html" title="class in org.apache.spark.ml.regression"><span class="strong">Prev Class</span></a></li>
<li><a href="../../../../../org/apache/spark/ml/regression/RandomForestRegressor.html" title="class in org.apache.spark.ml.regression"><span class="strong">Next Class</span></a></li>
</ul>
<ul class="navList">
<li><a href="../../../../../index.html?org/apache/spark/ml/regression/RandomForestRegressionModel.html" target="_top">Frames</a></li>
<li><a href="RandomForestRegressionModel.html" target="_top">No Frames</a></li>
</ul>
<ul class="navList" id="allclasses_navbar_bottom">
<li><a href="../../../../../allclasses-noframe.html">All Classes</a></li>
</ul>
<div>
<script type="text/javascript"><!--
allClassesLink = document.getElementById("allclasses_navbar_bottom");
if(window==top) {
allClassesLink.style.display = "block";
}
else {
allClassesLink.style.display = "none";
}
//-->
</script>
</div>
<div>
<ul class="subNavList">
<li>Summary: </li>
<li>Nested | </li>
<li>Field | </li>
<li>Constr | </li>
<li><a href="#method_summary">Method</a></li>
</ul>
<ul class="subNavList">
<li>Detail: </li>
<li>Field | </li>
<li>Constr | </li>
<li><a href="#method_detail">Method</a></li>
</ul>
</div>
<a name="skip-navbar_bottom">
<!-- -->
</a></div>
<!-- ======== END OF BOTTOM NAVBAR ======= -->
<script defer="defer" type="text/javascript" src="../../../../../lib/jquery.js"></script><script defer="defer" type="text/javascript" src="../../../../../lib/api-javadocs.js"></script></body>
</html>
|
