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<div class="subTitle">org.apache.spark.ml.regression</div>
<h2 title="Class DecisionTreeRegressionModel" class="title">Class DecisionTreeRegressionModel</h2>
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<div class="contentContainer">
<ul class="inheritance">
<li>Object</li>
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<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>
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<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>&lt;M&gt;</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>&lt;FeaturesType,M&gt;</li>
<li>
<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/ml/regression/RegressionModel.html" title="class in org.apache.spark.ml.regression">org.apache.spark.ml.regression.RegressionModel</a>&lt;<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;</li>
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<li>org.apache.spark.ml.regression.DecisionTreeRegressionModel</li>
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<dt>All Implemented Interfaces:</dt>
<dd>java.io.Serializable, org.apache.spark.internal.Logging, <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/param/shared/HasCheckpointInterval.html" title="interface in org.apache.spark.ml.param.shared">HasCheckpointInterval</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasFeaturesCol.html" title="interface in org.apache.spark.ml.param.shared">HasFeaturesCol</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasLabelCol.html" title="interface in org.apache.spark.ml.param.shared">HasLabelCol</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasPredictionCol.html" title="interface in org.apache.spark.ml.param.shared">HasPredictionCol</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasSeed.html" title="interface in org.apache.spark.ml.param.shared">HasSeed</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasVarianceCol.html" title="interface in org.apache.spark.ml.param.shared">HasVarianceCol</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasWeightCol.html" title="interface in org.apache.spark.ml.param.shared">HasWeightCol</a>, <a href="../../../../../org/apache/spark/ml/PredictorParams.html" title="interface in org.apache.spark.ml">PredictorParams</a>, <a href="../../../../../org/apache/spark/ml/tree/DecisionTreeModel.html" title="interface in org.apache.spark.ml.tree">DecisionTreeModel</a>, <a href="../../../../../org/apache/spark/ml/tree/DecisionTreeParams.html" title="interface in org.apache.spark.ml.tree">DecisionTreeParams</a>, <a href="../../../../../org/apache/spark/ml/tree/DecisionTreeRegressorParams.html" title="interface in org.apache.spark.ml.tree">DecisionTreeRegressorParams</a>, <a href="../../../../../org/apache/spark/ml/tree/HasVarianceImpurity.html" title="interface in org.apache.spark.ml.tree">HasVarianceImpurity</a>, <a href="../../../../../org/apache/spark/ml/tree/TreeRegressorParams.html" title="interface in org.apache.spark.ml.tree">TreeRegressorParams</a>, <a href="../../../../../org/apache/spark/ml/util/Identifiable.html" title="interface in org.apache.spark.ml.util">Identifiable</a>, <a href="../../../../../org/apache/spark/ml/util/MLWritable.html" title="interface in org.apache.spark.ml.util">MLWritable</a></dd>
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<hr>
<br>
<pre>public class <span class="typeNameLabel">DecisionTreeRegressionModel</span>
extends <a href="../../../../../org/apache/spark/ml/regression/RegressionModel.html" title="class in org.apache.spark.ml.regression">RegressionModel</a>&lt;<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;
implements <a href="../../../../../org/apache/spark/ml/tree/DecisionTreeModel.html" title="interface in org.apache.spark.ml.tree">DecisionTreeModel</a>, <a href="../../../../../org/apache/spark/ml/tree/DecisionTreeRegressorParams.html" title="interface in org.apache.spark.ml.tree">DecisionTreeRegressorParams</a>, <a href="../../../../../org/apache/spark/ml/util/MLWritable.html" title="interface in org.apache.spark.ml.util">MLWritable</a>, scala.Serializable</pre>
<div class="block"><a href="http://en.wikipedia.org/wiki/Decision_tree_learning">
Decision tree (Wikipedia)</a> model for regression.
It supports both continuous and categorical features.
<p>
param: rootNode Root of the decision tree</div>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../../../serialized-form.html#org.apache.spark.ml.regression.DecisionTreeRegressionModel">Serialized Form</a></dd>
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<h3>Nested classes/interfaces inherited from interface&nbsp;org.apache.spark.internal.Logging</h3>
<code>org.apache.spark.internal.Logging.SparkShellLoggingFilter</code></li>
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<h3>Method Summary</h3>
<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tr id="i0" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/BooleanParam.html" title="class in org.apache.spark.ml.param">BooleanParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#cacheNodeIds--">cacheNodeIds</a></span>()</code>
<div class="block">If false, the algorithm will pass trees to executors to match instances with nodes.</div>
</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/IntParam.html" title="class in org.apache.spark.ml.param">IntParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#checkpointInterval--">checkpointInterval</a></span>()</code>
<div class="block">Param for set checkpoint interval (&amp;gt;= 1) or disable checkpoint (-1).</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#copy-org.apache.spark.ml.param.ParamMap-">copy</a></span>(<a href="../../../../../org/apache/spark/ml/param/ParamMap.html" title="class in org.apache.spark.ml.param">ParamMap</a>&nbsp;extra)</code>
<div class="block">Creates a copy of this instance with the same UID and some extra params.</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#depth--">depth</a></span>()</code>
<div class="block">Depth of the tree.</div>
</td>
</tr>
<tr id="i4" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#featureImportances--">featureImportances</a></span>()</code>&nbsp;</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/Param.html" title="class in org.apache.spark.ml.param">Param</a>&lt;String&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#impurity--">impurity</a></span>()</code>
<div class="block">Criterion used for information gain calculation (case-insensitive).</div>
</td>
</tr>
<tr id="i6" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/Param.html" title="class in org.apache.spark.ml.param">Param</a>&lt;String&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#leafCol--">leafCol</a></span>()</code>
<div class="block">Leaf indices column name.</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#load-java.lang.String-">load</a></span>(String&nbsp;path)</code>&nbsp;</td>
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<tr id="i8" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/IntParam.html" title="class in org.apache.spark.ml.param">IntParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#maxBins--">maxBins</a></span>()</code>
<div class="block">Maximum number of bins used for discretizing continuous features and for choosing how to split
on features at each node.</div>
</td>
</tr>
<tr id="i9" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/IntParam.html" title="class in org.apache.spark.ml.param">IntParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#maxDepth--">maxDepth</a></span>()</code>
<div class="block">Maximum depth of the tree (nonnegative).</div>
</td>
</tr>
<tr id="i10" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/IntParam.html" title="class in org.apache.spark.ml.param">IntParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#maxMemoryInMB--">maxMemoryInMB</a></span>()</code>
<div class="block">Maximum memory in MB allocated to histogram aggregation.</div>
</td>
</tr>
<tr id="i11" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/DoubleParam.html" title="class in org.apache.spark.ml.param">DoubleParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#minInfoGain--">minInfoGain</a></span>()</code>
<div class="block">Minimum information gain for a split to be considered at a tree node.</div>
</td>
</tr>
<tr id="i12" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/IntParam.html" title="class in org.apache.spark.ml.param">IntParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#minInstancesPerNode--">minInstancesPerNode</a></span>()</code>
<div class="block">Minimum number of instances each child must have after split.</div>
</td>
</tr>
<tr id="i13" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/DoubleParam.html" title="class in org.apache.spark.ml.param">DoubleParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#minWeightFractionPerNode--">minWeightFractionPerNode</a></span>()</code>
<div class="block">Minimum fraction of the weighted sample count that each child must have after split.</div>
</td>
</tr>
<tr id="i14" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#numFeatures--">numFeatures</a></span>()</code>
<div class="block">Returns the number of features the model was trained on.</div>
</td>
</tr>
<tr id="i15" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#predict-org.apache.spark.ml.linalg.Vector-">predict</a></span>(<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>&nbsp;features)</code>
<div class="block">Predict label for the given features.</div>
</td>
</tr>
<tr id="i16" class="altColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/ml/util/MLReader.html" title="class in org.apache.spark.ml.util">MLReader</a>&lt;<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#read--">read</a></span>()</code>&nbsp;</td>
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<tr id="i17" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/tree/Node.html" title="class in org.apache.spark.ml.tree">Node</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#rootNode--">rootNode</a></span>()</code>
<div class="block">Root of the decision tree</div>
</td>
</tr>
<tr id="i18" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/LongParam.html" title="class in org.apache.spark.ml.param">LongParam</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#seed--">seed</a></span>()</code>
<div class="block">Param for random seed.</div>
</td>
</tr>
<tr id="i19" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#setVarianceCol-java.lang.String-">setVarianceCol</a></span>(String&nbsp;value)</code>&nbsp;</td>
</tr>
<tr id="i20" class="altColor">
<td class="colFirst"><code>String</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#toString--">toString</a></span>()</code>
<div class="block">Summary of the model</div>
</td>
</tr>
<tr id="i21" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/sql/Dataset.html" title="class in org.apache.spark.sql">Dataset</a>&lt;<a href="../../../../../org/apache/spark/sql/Row.html" title="interface in org.apache.spark.sql">Row</a>&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#transform-org.apache.spark.sql.Dataset-">transform</a></span>(<a href="../../../../../org/apache/spark/sql/Dataset.html" title="class in org.apache.spark.sql">Dataset</a>&lt;?&gt;&nbsp;dataset)</code>
<div class="block">Transforms dataset by reading from <code>featuresCol</code>, calling <code>predict</code>, and storing
the predictions as a new column <code>predictionCol</code>.</div>
</td>
</tr>
<tr id="i22" 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><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#transformSchema-org.apache.spark.sql.types.StructType-">transformSchema</a></span>(<a href="../../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a>&nbsp;schema)</code>
<div class="block">Check transform validity and derive the output schema from the input schema.</div>
</td>
</tr>
<tr id="i23" class="rowColor">
<td class="colFirst"><code>String</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#uid--">uid</a></span>()</code>
<div class="block">An immutable unique ID for the object and its derivatives.</div>
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<tr id="i24" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/Param.html" title="class in org.apache.spark.ml.param">Param</a>&lt;String&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#varianceCol--">varianceCol</a></span>()</code>
<div class="block">Param for Column name for the biased sample variance of prediction.</div>
</td>
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<tr id="i25" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/param/Param.html" title="class in org.apache.spark.ml.param">Param</a>&lt;String&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#weightCol--">weightCol</a></span>()</code>
<div class="block">Param for weight column name.</div>
</td>
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<tr id="i26" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/util/MLWriter.html" title="class in org.apache.spark.ml.util">MLWriter</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html#write--">write</a></span>()</code>
<div class="block">Returns an <code>MLWriter</code> instance for this ML instance.</div>
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<pre>public static&nbsp;<a href="../../../../../org/apache/spark/ml/util/MLReader.html" title="class in org.apache.spark.ml.util">MLReader</a>&lt;<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;&nbsp;read()</pre>
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<pre>public final&nbsp;<a href="../../../../../org/apache/spark/ml/param/Param.html" title="class in org.apache.spark.ml.param">Param</a>&lt;String&gt;&nbsp;varianceCol()</pre>
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<div class="block">Param for Column name for the biased sample variance of prediction.</div>
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<div class="block">Criterion used for information gain calculation (case-insensitive).
This impurity type is used in DecisionTreeRegressor, RandomForestRegressor, GBTRegressor
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<div class="block">Leaf indices column name.
Predicted leaf index of each instance in each tree by preorder.
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<div class="block">Maximum depth of the tree (nonnegative).
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<div class="block">Maximum number of bins used for discretizing continuous features and for choosing how to split
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<div class="block">Minimum number of instances each child must have after split.
If a split causes the left or right child to have fewer than minInstancesPerNode,
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Must be at least 1.
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<div class="block">Minimum fraction of the weighted sample count that each child must have after split.
If a split causes the fraction of the total weight in the left or right child to be less than
minWeightFractionPerNode, the split will be discarded as invalid.
Should be in the interval [0.0, 0.5).
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<pre>public final&nbsp;<a href="../../../../../org/apache/spark/ml/param/DoubleParam.html" title="class in org.apache.spark.ml.param">DoubleParam</a>&nbsp;minInfoGain()</pre>
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<div class="block">Minimum information gain for a split to be considered at a tree node.
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<div class="block">Maximum memory in MB allocated to histogram aggregation. If too small, then 1 node will be
split per iteration, and its aggregates may exceed this size.
(default = 256 MB)</div>
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<pre>public final&nbsp;<a href="../../../../../org/apache/spark/ml/param/BooleanParam.html" title="class in org.apache.spark.ml.param">BooleanParam</a>&nbsp;cacheNodeIds()</pre>
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<div class="block">If false, the algorithm will pass trees to executors to match instances with nodes.
If true, the algorithm will cache node IDs for each instance.
Caching can speed up training of deeper trees. Users can set how often should the
cache be checkpointed or disable it by setting checkpointInterval.
(default = false)</div>
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<div class="block">Param for weight column name. If this is not set or empty, we treat all instance weights as 1.0.</div>
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<div class="block">Param for random seed.</div>
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<div class="block">Param for set checkpoint interval (&amp;gt;= 1) or disable checkpoint (-1). E.g. 10 means that the cache will get checkpointed every 10 iterations. Note: this setting will be ignored if the checkpoint directory is not set in the SparkContext.</div>
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<dd><code><a href="../../../../../org/apache/spark/ml/param/shared/HasCheckpointInterval.html#checkpointInterval--">checkpointInterval</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/ml/param/shared/HasCheckpointInterval.html" title="interface in org.apache.spark.ml.param.shared">HasCheckpointInterval</a></code></dd>
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<pre>public&nbsp;int&nbsp;depth()</pre>
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<div class="block">Depth of the tree.
E.g.: Depth 0 means 1 leaf node. Depth 1 means 1 internal node and 2 leaf nodes.</div>
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<dd><code><a href="../../../../../org/apache/spark/ml/tree/DecisionTreeModel.html#depth--">depth</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/ml/tree/DecisionTreeModel.html" title="interface in org.apache.spark.ml.tree">DecisionTreeModel</a></code></dd>
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<pre>public&nbsp;String&nbsp;uid()</pre>
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<div class="block">An immutable unique ID for the object and its derivatives.</div>
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<div class="block">Root of the decision tree</div>
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<div class="block">Returns the number of features the model was trained on. If unknown, returns -1</div>
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<dd><code><a href="../../../../../org/apache/spark/ml/PredictionModel.html#numFeatures--">numFeatures</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a>&lt;<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;</code></dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&nbsp;setVarianceCol(String&nbsp;value)</pre>
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<pre>public&nbsp;double&nbsp;predict(<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>&nbsp;features)</pre>
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<div class="block">Predict label for the given features.
This method is used to implement <code>transform()</code> and output <code>predictionCol</code>.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
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<dd><code>features</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
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<div class="block">Check transform validity and derive the output schema from the input schema.
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Typical implementation should first conduct verification on schema change and parameter
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<dd><code><a href="../../../../../org/apache/spark/ml/PredictionModel.html#transformSchema-org.apache.spark.sql.types.StructType-">transformSchema</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a>&lt;<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;</code></dd>
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<dd><code>schema</code> - (undocumented)</dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/sql/Dataset.html" title="class in org.apache.spark.sql">Dataset</a>&lt;<a href="../../../../../org/apache/spark/sql/Row.html" title="interface in org.apache.spark.sql">Row</a>&gt;&nbsp;transform(<a href="../../../../../org/apache/spark/sql/Dataset.html" title="class in org.apache.spark.sql">Dataset</a>&lt;?&gt;&nbsp;dataset)</pre>
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<div class="block">Transforms dataset by reading from <code>featuresCol</code>, calling <code>predict</code>, and storing
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<dd><code><a href="../../../../../org/apache/spark/ml/PredictionModel.html#transform-org.apache.spark.sql.Dataset-">transform</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a>&lt;<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;</code></dd>
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<dd><code>dataset</code> - input dataset</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>transformed dataset with <code>predictionCol</code> of type <code>Double</code></dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&nbsp;copy(<a href="../../../../../org/apache/spark/ml/param/ParamMap.html" title="class in org.apache.spark.ml.param">ParamMap</a>&nbsp;extra)</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from interface:&nbsp;<code><a href="../../../../../org/apache/spark/ml/param/Params.html#copy-org.apache.spark.ml.param.ParamMap-">Params</a></code></span></div>
<div class="block">Creates a copy of this instance with the same UID and some extra params.
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<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/Model.html#copy-org.apache.spark.ml.param.ParamMap-">copy</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">Model</a>&lt;<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>&gt;</code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>extra</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
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<pre>public&nbsp;String&nbsp;toString()</pre>
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<div class="block">Summary of the model</div>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/ml/linalg/Vector.html" title="interface in org.apache.spark.ml.linalg">Vector</a>&nbsp;featureImportances()</pre>
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<div class="block">Returns an <code>MLWriter</code> instance for this ML instance.</div>
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<dd><code><a href="../../../../../org/apache/spark/ml/util/MLWritable.html#write--">write</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/ml/util/MLWritable.html" title="interface in org.apache.spark.ml.util">MLWritable</a></code></dd>
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<dd>(undocumented)</dd>
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