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<div class="subTitle">org.apache.spark.ml.regression</div>
<h2 title="Class DecisionTreeRegressor" class="title">Class DecisionTreeRegressor</h2>
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<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>
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<li><a href="../../../../../org/apache/spark/ml/Estimator.html" title="class in org.apache.spark.ml">org.apache.spark.ml.Estimator</a><M></li>
<li>
<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/ml/Predictor.html" title="class in org.apache.spark.ml">org.apache.spark.ml.Predictor</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/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>></li>
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<ul class="inheritance">
<li>org.apache.spark.ml.regression.DecisionTreeRegressor</li>
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<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>
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<pre>public final class <span class="strong">DecisionTreeRegressor</span>
extends <a href="../../../../../org/apache/spark/ml/Predictor.html" title="class in org.apache.spark.ml">Predictor</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/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>></pre>
<div class="block">:: Experimental ::
<code>Decision tree</code> learning algorithm
for regression.
It supports both continuous and categorical features.</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../serialized-form.html#org.apache.spark.ml.regression.DecisionTreeRegressor">Serialized Form</a></dd></dl>
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<th class="colOne" scope="col">Constructor and Description</th>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#DecisionTreeRegressor()">DecisionTreeRegressor</a></strong>()</code> </td>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#DecisionTreeRegressor(java.lang.String)">DecisionTreeRegressor</a></strong>(java.lang.String uid)</code> </td>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.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>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setCacheNodeIds(boolean)">setCacheNodeIds</a></strong>(boolean value)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setCheckpointInterval(int)">setCheckpointInterval</a></strong>(int value)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setImpurity(java.lang.String)">setImpurity</a></strong>(java.lang.String value)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setMaxBins(int)">setMaxBins</a></strong>(int value)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setMaxDepth(int)">setMaxDepth</a></strong>(int value)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setMaxMemoryInMB(int)">setMaxMemoryInMB</a></strong>(int value)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setMinInfoGain(double)">setMinInfoGain</a></strong>(double value)</code> </td>
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<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#setMinInstancesPerNode(int)">setMinInstancesPerNode</a></strong>(int value)</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code>static java.lang.String[]</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#supportedImpurities()">supportedImpurities</a></strong>()</code>
<div class="block">Accessor for supported impurities: variance</div>
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<td class="colFirst"><code>protected <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><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#train(org.apache.spark.sql.DataFrame)">train</a></strong>(<a href="../../../../../org/apache/spark/sql/DataFrame.html" title="class in org.apache.spark.sql">DataFrame</a> dataset)</code>
<div class="block">Train a model using the given dataset and parameters.</div>
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<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html#uid()">uid</a></strong>()</code>
<div class="block">An immutable unique ID for the object and its derivatives.</div>
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<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/DecisionTreeRegressor.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>
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<code><a href="../../../../../org/apache/spark/ml/Predictor.html#extractLabeledPoints(org.apache.spark.sql.DataFrame)">extractLabeledPoints</a>, <a href="../../../../../org/apache/spark/ml/Predictor.html#fit(org.apache.spark.sql.DataFrame)">fit</a>, <a href="../../../../../org/apache/spark/ml/Predictor.html#setFeaturesCol(java.lang.String)">setFeaturesCol</a>, <a href="../../../../../org/apache/spark/ml/Predictor.html#setLabelCol(java.lang.String)">setLabelCol</a>, <a href="../../../../../org/apache/spark/ml/Predictor.html#setPredictionCol(java.lang.String)">setPredictionCol</a>, <a href="../../../../../org/apache/spark/ml/Predictor.html#transformSchema(org.apache.spark.sql.types.StructType)">transformSchema</a></code></li>
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<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>
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<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>
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<pre>public DecisionTreeRegressor(java.lang.String uid)</pre>
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<pre>public DecisionTreeRegressor()</pre>
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<div class="block">Accessor for supported impurities: variance</div>
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<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>
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<pre>public <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a> setMaxDepth(int value)</pre>
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<pre>public <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a> setMinInfoGain(double value)</pre>
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<pre>public <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a> setMaxMemoryInMB(int value)</pre>
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<pre>public <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a> setCacheNodeIds(boolean value)</pre>
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<pre>public <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a> setCheckpointInterval(int value)</pre>
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<pre>public <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a> setImpurity(java.lang.String value)</pre>
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<h4>train</h4>
<pre>protected <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a> train(<a href="../../../../../org/apache/spark/sql/DataFrame.html" title="class in org.apache.spark.sql">DataFrame</a> dataset)</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../../org/apache/spark/ml/Predictor.html#train(org.apache.spark.sql.DataFrame)">Predictor</a></code></strong></div>
<div class="block">Train a model using the given dataset and parameters.
Developers can implement this instead of <code>fit()</code> to avoid dealing with schema validation
and copying parameters into the model.
<p></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/ml/Predictor.html#train(org.apache.spark.sql.DataFrame)">train</a></code> in class <code><a href="../../../../../org/apache/spark/ml/Predictor.html" title="class in org.apache.spark.ml">Predictor</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/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</a>></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>dataset</code> - Training dataset</dd>
<dt><span class="strong">Returns:</span></dt><dd>Fitted model</dd></dl>
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<pre>public <a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</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.
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<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/Predictor.html#copy(org.apache.spark.ml.param.ParamMap)">copy</a></code> in class <code><a href="../../../../../org/apache/spark/ml/Predictor.html" title="class in org.apache.spark.ml">Predictor</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/DecisionTreeRegressor.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressor</a>,<a href="../../../../../org/apache/spark/ml/regression/DecisionTreeRegressionModel.html" title="class in org.apache.spark.ml.regression">DecisionTreeRegressionModel</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>
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<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>
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