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<div class="subTitle">org.apache.spark.ml</div>
<h2 title="Class Predictor" class="title">Class Predictor&lt;FeaturesType,Learner extends Predictor&lt;FeaturesType,Learner,M&gt;,M extends <a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a>&lt;FeaturesType,M&gt;&gt;</h2>
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<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>&lt;M&gt;</li>
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<li>org.apache.spark.ml.Predictor&lt;FeaturesType,Learner,M&gt;</li>
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<dt><span class="paramLabel">Type Parameters:</span></dt>
<dd><code>FeaturesType</code> - Type of features.
E.g., <code>VectorUDT</code> for vector features.</dd>
<dd><code>Learner</code> - Specialization of this class. If you subclass this type, use this type
parameter to specify the concrete type.</dd>
<dd><code>M</code> - Specialization of <a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml"><code>PredictionModel</code></a>. If you subclass this type, use this type
parameter to specify the concrete type for the corresponding model.</dd>
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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/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/PredictorParams.html" title="interface in org.apache.spark.ml">PredictorParams</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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<dt>Direct Known Subclasses:</dt>
<dd><a href="../../../../org/apache/spark/ml/classification/Classifier.html" title="class in org.apache.spark.ml.classification">Classifier</a>, <a href="../../../../org/apache/spark/ml/regression/Regressor.html" title="class in org.apache.spark.ml.regression">Regressor</a></dd>
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<pre>public abstract class <span class="typeNameLabel">Predictor&lt;FeaturesType,Learner extends Predictor&lt;FeaturesType,Learner,M&gt;,M extends <a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a>&lt;FeaturesType,M&gt;&gt;</span>
extends <a href="../../../../org/apache/spark/ml/Estimator.html" title="class in org.apache.spark.ml">Estimator</a>&lt;M&gt;
implements <a href="../../../../org/apache/spark/ml/PredictorParams.html" title="interface in org.apache.spark.ml">PredictorParams</a></pre>
<div class="block">Abstraction for prediction problems (regression and classification). It accepts all NumericType
labels and will automatically cast it to DoubleType in <code>fit()</code>. If this predictor supports
weights, it accepts all NumericType weights, which will be automatically casted to DoubleType
in <code>fit()</code>.
<p></div>
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<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../../serialized-form.html#org.apache.spark.ml.Predictor">Serialized Form</a></dd>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../../org/apache/spark/ml/Predictor.html#Predictor--">Predictor</a></span>()</code>&nbsp;</td>
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<td class="colFirst"><code>abstract <a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../org/apache/spark/ml/Predictor.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>
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<tr id="i1" 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/Predictor.html#featuresCol--">featuresCol</a></span>()</code>
<div class="block">Param for features column name.</div>
</td>
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<tr id="i2" class="altColor">
<td class="colFirst"><code><a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">M</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../org/apache/spark/ml/Predictor.html#fit-org.apache.spark.sql.Dataset-">fit</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">Fits a model to the input data.</div>
</td>
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<tr id="i3" 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/Predictor.html#labelCol--">labelCol</a></span>()</code>
<div class="block">Param for label column name.</div>
</td>
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<tr id="i4" 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/Predictor.html#predictionCol--">predictionCol</a></span>()</code>
<div class="block">Param for prediction column name.</div>
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<tr id="i5" class="rowColor">
<td class="colFirst"><code><a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../org/apache/spark/ml/Predictor.html#setFeaturesCol-java.lang.String-">setFeaturesCol</a></span>(String&nbsp;value)</code>&nbsp;</td>
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<tr id="i6" class="altColor">
<td class="colFirst"><code><a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../org/apache/spark/ml/Predictor.html#setLabelCol-java.lang.String-">setLabelCol</a></span>(String&nbsp;value)</code>&nbsp;</td>
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<tr id="i7" class="rowColor">
<td class="colFirst"><code><a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../org/apache/spark/ml/Predictor.html#setPredictionCol-java.lang.String-">setPredictionCol</a></span>(String&nbsp;value)</code>&nbsp;</td>
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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><span class="memberNameLink"><a href="../../../../org/apache/spark/ml/Predictor.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>
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<code><a href="../../../../org/apache/spark/ml/util/Identifiable.html#toString--">toString</a>, <a href="../../../../org/apache/spark/ml/util/Identifiable.html#uid--">uid</a></code></li>
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<code>$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitialize</code></li>
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<h4>Predictor</h4>
<pre>public&nbsp;Predictor()</pre>
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<pre>public abstract&nbsp;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</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.
Subclasses should implement this method and set the return type properly.
See <code>defaultCopy()</code>.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../org/apache/spark/ml/param/Params.html#copy-org.apache.spark.ml.param.ParamMap-">copy</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../org/apache/spark/ml/param/Params.html" title="interface in org.apache.spark.ml.param">Params</a></code></dd>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../org/apache/spark/ml/Estimator.html#copy-org.apache.spark.ml.param.ParamMap-">copy</a></code>&nbsp;in class&nbsp;<code><a href="../../../../org/apache/spark/ml/Estimator.html" title="class in org.apache.spark.ml">Estimator</a>&lt;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">M</a> extends <a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a>&lt;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">FeaturesType</a>,<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">M</a>&gt;&gt;</code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>extra</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<h4>featuresCol</h4>
<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;featuresCol()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from interface:&nbsp;<code><a href="../../../../org/apache/spark/ml/param/shared/HasFeaturesCol.html#featuresCol--">HasFeaturesCol</a></code></span></div>
<div class="block">Param for features column name.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../org/apache/spark/ml/param/shared/HasFeaturesCol.html#featuresCol--">featuresCol</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../org/apache/spark/ml/param/shared/HasFeaturesCol.html" title="interface in org.apache.spark.ml.param.shared">HasFeaturesCol</a></code></dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<h4>fit</h4>
<pre>public&nbsp;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">M</a>&nbsp;fit(<a href="../../../../org/apache/spark/sql/Dataset.html" title="class in org.apache.spark.sql">Dataset</a>&lt;?&gt;&nbsp;dataset)</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../org/apache/spark/ml/Estimator.html#fit-org.apache.spark.sql.Dataset-">Estimator</a></code></span></div>
<div class="block">Fits a model to the input data.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../org/apache/spark/ml/Estimator.html#fit-org.apache.spark.sql.Dataset-">fit</a></code>&nbsp;in class&nbsp;<code><a href="../../../../org/apache/spark/ml/Estimator.html" title="class in org.apache.spark.ml">Estimator</a>&lt;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">M</a> extends <a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a>&lt;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">FeaturesType</a>,<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">M</a>&gt;&gt;</code></dd>
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<dd><code>dataset</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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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;labelCol()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from interface:&nbsp;<code><a href="../../../../org/apache/spark/ml/param/shared/HasLabelCol.html#labelCol--">HasLabelCol</a></code></span></div>
<div class="block">Param for label column name.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../org/apache/spark/ml/param/shared/HasLabelCol.html#labelCol--">labelCol</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../org/apache/spark/ml/param/shared/HasLabelCol.html" title="interface in org.apache.spark.ml.param.shared">HasLabelCol</a></code></dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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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;predictionCol()</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from interface:&nbsp;<code><a href="../../../../org/apache/spark/ml/param/shared/HasPredictionCol.html#predictionCol--">HasPredictionCol</a></code></span></div>
<div class="block">Param for prediction column name.</div>
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<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../org/apache/spark/ml/param/shared/HasPredictionCol.html#predictionCol--">predictionCol</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../org/apache/spark/ml/param/shared/HasPredictionCol.html" title="interface in org.apache.spark.ml.param.shared">HasPredictionCol</a></code></dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<h4>setFeaturesCol</h4>
<pre>public&nbsp;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</a>&nbsp;setFeaturesCol(String&nbsp;value)</pre>
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<h4>setLabelCol</h4>
<pre>public&nbsp;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</a>&nbsp;setLabelCol(String&nbsp;value)</pre>
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<pre>public&nbsp;<a href="../../../../org/apache/spark/ml/Predictor.html" title="type parameter in Predictor">Learner</a>&nbsp;setPredictionCol(String&nbsp;value)</pre>
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<h4>transformSchema</h4>
<pre>public&nbsp;<a href="../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a>&nbsp;transformSchema(<a href="../../../../org/apache/spark/sql/types/StructType.html" title="class in org.apache.spark.sql.types">StructType</a>&nbsp;schema)</pre>
<div class="block"><span class="descfrmTypeLabel">Description copied from class:&nbsp;<code><a href="../../../../org/apache/spark/ml/PipelineStage.html#transformSchema-org.apache.spark.sql.types.StructType-">PipelineStage</a></code></span></div>
<div class="block">Check transform validity and derive the output schema from the input schema.
<p>
We check validity for interactions between parameters during <code>transformSchema</code> and
raise an exception if any parameter value is invalid. Parameter value checks which
do not depend on other parameters are handled by <code>Param.validate()</code>.
<p>
Typical implementation should first conduct verification on schema change and parameter
validity, including complex parameter interaction checks.</div>
<dl>
<dt><span class="overrideSpecifyLabel">Specified by:</span></dt>
<dd><code><a href="../../../../org/apache/spark/ml/PipelineStage.html#transformSchema-org.apache.spark.sql.types.StructType-">transformSchema</a></code>&nbsp;in class&nbsp;<code><a href="../../../../org/apache/spark/ml/PipelineStage.html" title="class in org.apache.spark.ml">PipelineStage</a></code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>schema</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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