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<div class="subTitle">org.apache.spark.ml.regression</div>
<h2 title="Class LinearRegressionModel" class="title">Class LinearRegressionModel</h2>
</div>
<div class="contentContainer">
<ul class="inheritance">
<li>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>&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/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</a>&gt;</li>
<li>
<ul class="inheritance">
<li>org.apache.spark.ml.regression.LinearRegressionModel</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
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</li>
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</li>
</ul>
</li>
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<ul class="blockList">
<li class="blockList">
<dl>
<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/HasAggregationDepth.html" title="interface in org.apache.spark.ml.param.shared">HasAggregationDepth</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasElasticNetParam.html" title="interface in org.apache.spark.ml.param.shared">HasElasticNetParam</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/HasFitIntercept.html" title="interface in org.apache.spark.ml.param.shared">HasFitIntercept</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/HasLoss.html" title="interface in org.apache.spark.ml.param.shared">HasLoss</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasMaxBlockSizeInMB.html" title="interface in org.apache.spark.ml.param.shared">HasMaxBlockSizeInMB</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasMaxIter.html" title="interface in org.apache.spark.ml.param.shared">HasMaxIter</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/HasRegParam.html" title="interface in org.apache.spark.ml.param.shared">HasRegParam</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasSolver.html" title="interface in org.apache.spark.ml.param.shared">HasSolver</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasStandardization.html" title="interface in org.apache.spark.ml.param.shared">HasStandardization</a>, <a href="../../../../../org/apache/spark/ml/param/shared/HasTol.html" title="interface in org.apache.spark.ml.param.shared">HasTol</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/regression/LinearRegressionParams.html" title="interface in org.apache.spark.ml.regression">LinearRegressionParams</a>, <a href="../../../../../org/apache/spark/ml/util/GeneralMLWritable.html" title="interface in org.apache.spark.ml.util">GeneralMLWritable</a>, <a href="../../../../../org/apache/spark/ml/util/HasTrainingSummary.html" title="interface in org.apache.spark.ml.util">HasTrainingSummary</a>&lt;<a href="../../../../../org/apache/spark/ml/regression/LinearRegressionTrainingSummary.html" title="class in org.apache.spark.ml.regression">LinearRegressionTrainingSummary</a>&gt;, <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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<pre>public class <span class="typeNameLabel">LinearRegressionModel</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/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</a>&gt;
implements <a href="../../../../../org/apache/spark/ml/regression/LinearRegressionParams.html" title="interface in org.apache.spark.ml.regression">LinearRegressionParams</a>, <a href="../../../../../org/apache/spark/ml/util/GeneralMLWritable.html" title="interface in org.apache.spark.ml.util">GeneralMLWritable</a>, <a href="../../../../../org/apache/spark/ml/util/HasTrainingSummary.html" title="interface in org.apache.spark.ml.util">HasTrainingSummary</a>&lt;<a href="../../../../../org/apache/spark/ml/regression/LinearRegressionTrainingSummary.html" title="class in org.apache.spark.ml.regression">LinearRegressionTrainingSummary</a>&gt;</pre>
<div class="block">Model produced by <a href="../../../../../org/apache/spark/ml/regression/LinearRegression.html" title="class in org.apache.spark.ml.regression"><code>LinearRegression</code></a>.</div>
<dl>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../../../serialized-form.html#org.apache.spark.ml.regression.LinearRegressionModel">Serialized Form</a></dd>
</dl>
</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/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/LinearRegressionModel.html#aggregationDepth--">aggregationDepth</a></span>()</code>
<div class="block">Param for suggested depth for treeAggregate (&amp;gt;= 2).</div>
</td>
</tr>
<tr id="i1" class="rowColor">
<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/LinearRegressionModel.html#coefficients--">coefficients</a></span>()</code>&nbsp;</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.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><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/LinearRegressionModel.html#elasticNetParam--">elasticNetParam</a></span>()</code>
<div class="block">Param for the ElasticNet mixing parameter, in range [0, 1].</div>
</td>
</tr>
<tr id="i4" class="altColor">
<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/LinearRegressionModel.html#epsilon--">epsilon</a></span>()</code>
<div class="block">The shape parameter to control the amount of robustness.</div>
</td>
</tr>
<tr id="i5" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionSummary.html" title="class in org.apache.spark.ml.regression">LinearRegressionSummary</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#evaluate-org.apache.spark.sql.Dataset-">evaluate</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">Evaluates the model on a test dataset.</div>
</td>
</tr>
<tr id="i6" 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/LinearRegressionModel.html#fitIntercept--">fitIntercept</a></span>()</code>
<div class="block">Param for whether to fit an intercept term.</div>
</td>
</tr>
<tr id="i7" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#intercept--">intercept</a></span>()</code>&nbsp;</td>
</tr>
<tr id="i8" class="altColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#load-java.lang.String-">load</a></span>(String&nbsp;path)</code>&nbsp;</td>
</tr>
<tr id="i9" 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/LinearRegressionModel.html#loss--">loss</a></span>()</code>
<div class="block">The loss function to be optimized.</div>
</td>
</tr>
<tr id="i10" class="altColor">
<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/LinearRegressionModel.html#maxBlockSizeInMB--">maxBlockSizeInMB</a></span>()</code>
<div class="block">Param for Maximum memory in MB for stacking input data into blocks.</div>
</td>
</tr>
<tr id="i11" 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/LinearRegressionModel.html#maxIter--">maxIter</a></span>()</code>
<div class="block">Param for maximum number of iterations (&amp;gt;= 0).</div>
</td>
</tr>
<tr id="i12" class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#numFeatures--">numFeatures</a></span>()</code>
<div class="block">Returns the number of features the model was trained on.</div>
</td>
</tr>
<tr id="i13" class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.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="i14" 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/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</a>&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#read--">read</a></span>()</code>&nbsp;</td>
</tr>
<tr id="i15" 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/LinearRegressionModel.html#regParam--">regParam</a></span>()</code>
<div class="block">Param for regularization parameter (&amp;gt;= 0).</div>
</td>
</tr>
<tr id="i16" class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#scale--">scale</a></span>()</code>&nbsp;</td>
</tr>
<tr id="i17" 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/LinearRegressionModel.html#solver--">solver</a></span>()</code>
<div class="block">The solver algorithm for optimization.</div>
</td>
</tr>
<tr id="i18" 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/LinearRegressionModel.html#standardization--">standardization</a></span>()</code>
<div class="block">Param for whether to standardize the training features before fitting the model.</div>
</td>
</tr>
<tr id="i19" class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionTrainingSummary.html" title="class in org.apache.spark.ml.regression">LinearRegressionTrainingSummary</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#summary--">summary</a></span>()</code>
<div class="block">Gets summary (e.g.</div>
</td>
</tr>
<tr id="i20" class="altColor">
<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/LinearRegressionModel.html#tol--">tol</a></span>()</code>
<div class="block">Param for the convergence tolerance for iterative algorithms (&amp;gt;= 0).</div>
</td>
</tr>
<tr id="i21" class="rowColor">
<td class="colFirst"><code>String</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#toString--">toString</a></span>()</code>&nbsp;</td>
</tr>
<tr id="i22" class="altColor">
<td class="colFirst"><code>String</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#uid--">uid</a></span>()</code>
<div class="block">An immutable unique ID for the object and its derivatives.</div>
</td>
</tr>
<tr id="i23" 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/LinearRegressionModel.html#weightCol--">weightCol</a></span>()</code>
<div class="block">Param for weight column name.</div>
</td>
</tr>
<tr id="i24" class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/ml/util/GeneralMLWriter.html" title="class in org.apache.spark.ml.util">GeneralMLWriter</a></code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html#write--">write</a></span>()</code>
<div class="block">Returns a <a href="../../../../../org/apache/spark/ml/util/GeneralMLWriter.html" title="class in org.apache.spark.ml.util"><code>GeneralMLWriter</code></a> instance for this ML instance.</div>
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<h3>Methods inherited from class&nbsp;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#featuresCol--">featuresCol</a>, <a href="../../../../../org/apache/spark/ml/PredictionModel.html#labelCol--">labelCol</a>, <a href="../../../../../org/apache/spark/ml/PredictionModel.html#predictionCol--">predictionCol</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.Dataset-">transform</a>, <a href="../../../../../org/apache/spark/ml/PredictionModel.html#transformSchema-org.apache.spark.sql.types.StructType-">transformSchema</a></code></li>
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<h3>Methods inherited from class&nbsp;org.apache.spark.ml.<a href="../../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">Model</a></h3>
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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/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</a>&gt;&nbsp;read()</pre>
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<div class="block"><span class="descfrmTypeLabel">Description copied from interface:&nbsp;<code><a href="../../../../../org/apache/spark/ml/regression/LinearRegressionParams.html#solver--">LinearRegressionParams</a></code></span></div>
<div class="block">The solver algorithm for optimization.
Supported options: "l-bfgs", "normal" and "auto".
Default: "auto"
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<div class="block">The loss function to be optimized.
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<div class="block">The shape parameter to control the amount of robustness. Must be &amp;gt; 1.0.
At larger values of epsilon, the huber criterion becomes more similar to least squares
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Default is 1.35 to get as much robustness as possible while retaining
95% statistical efficiency for normally distributed data. It matches sklearn
HuberRegressor and is "M" from <a href="http://statweb.stanford.edu/~owen/reports/hhu.pdf">
A robust hybrid of lasso and ridge regression</a>.
Only valid when "loss" is "huber".
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<div class="block">Param for Maximum memory in MB for stacking input data into blocks. Data is stacked within partitions. If more than remaining data size in a partition then it is adjusted to the data size. Default 0.0 represents choosing optimal value, depends on specific algorithm. Must be &amp;gt;= 0..</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;standardization()</pre>
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<div class="block">Param for whether to standardize the training features before fitting the model.</div>
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<dt><span class="returnLabel">Returns:</span></dt>
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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;fitIntercept()</pre>
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<div class="block">Param for whether to fit an intercept term.</div>
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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;tol()</pre>
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<div class="block">Param for the convergence tolerance for iterative algorithms (&amp;gt;= 0).</div>
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<dt><span class="returnLabel">Returns:</span></dt>
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<pre>public final&nbsp;<a href="../../../../../org/apache/spark/ml/param/IntParam.html" title="class in org.apache.spark.ml.param">IntParam</a>&nbsp;maxIter()</pre>
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<div class="block">Param for maximum number of iterations (&amp;gt;= 0).</div>
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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;elasticNetParam()</pre>
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<div class="block">Param for the ElasticNet mixing parameter, in range [0, 1]. For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1 penalty.</div>
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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;regParam()</pre>
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<div class="block">Param for regularization parameter (&amp;gt;= 0).</div>
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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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<dd><code><a href="../../../../../org/apache/spark/ml/util/Identifiable.html#uid--">uid</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/ml/util/Identifiable.html" title="interface in org.apache.spark.ml.util">Identifiable</a></code></dd>
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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;coefficients()</pre>
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<pre>public&nbsp;int&nbsp;numFeatures()</pre>
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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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<pre>public&nbsp;<a href="../../../../../org/apache/spark/ml/regression/LinearRegressionTrainingSummary.html" title="class in org.apache.spark.ml.regression">LinearRegressionTrainingSummary</a>&nbsp;summary()</pre>
<div class="block">Gets summary (e.g. residuals, mse, r-squared ) of model on training set. An exception is
thrown if <code>hasSummary</code> is false.</div>
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<dd><code><a href="../../../../../org/apache/spark/ml/util/HasTrainingSummary.html#summary--">summary</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/ml/util/HasTrainingSummary.html" title="interface in org.apache.spark.ml.util">HasTrainingSummary</a>&lt;<a href="../../../../../org/apache/spark/ml/regression/LinearRegressionTrainingSummary.html" title="class in org.apache.spark.ml.regression">LinearRegressionTrainingSummary</a>&gt;</code></dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/ml/regression/LinearRegressionSummary.html" title="class in org.apache.spark.ml.regression">LinearRegressionSummary</a>&nbsp;evaluate(<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">Evaluates the model on a test dataset.
<p></div>
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<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>dataset</code> - Test dataset to evaluate model on.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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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>
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<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>features</code> - (undocumented)</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>(undocumented)</dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/ml/regression/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</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>
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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/LinearRegressionModel.html" title="class in org.apache.spark.ml.regression">LinearRegressionModel</a>&gt;</code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>extra</code> - (undocumented)</dd>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/ml/util/GeneralMLWriter.html" title="class in org.apache.spark.ml.util">GeneralMLWriter</a>&nbsp;write()</pre>
<div class="block">Returns a <a href="../../../../../org/apache/spark/ml/util/GeneralMLWriter.html" title="class in org.apache.spark.ml.util"><code>GeneralMLWriter</code></a> instance for this ML instance.
<p>
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An option to save <code>summary</code> may be added in the future.
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This also does not save the <code>parent</code> currently.</div>
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<pre>public&nbsp;String&nbsp;toString()</pre>
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