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<div class="subTitle">org.apache.spark.mllib.regression</div>
<h2 title="Class RidgeRegressionModel" class="title">Class RidgeRegressionModel</h2>
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<ul class="inheritance">
<li>java.lang.Object</li>
<li>
<ul class="inheritance">
<li><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html" title="class in org.apache.spark.mllib.regression">org.apache.spark.mllib.regression.GeneralizedLinearModel</a></li>
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<dt>All Implemented Interfaces:</dt>
<dd>java.io.Serializable, <a href="../../../../../org/apache/spark/mllib/pmml/PMMLExportable.html" title="interface in org.apache.spark.mllib.pmml">PMMLExportable</a>, <a href="../../../../../org/apache/spark/mllib/regression/RegressionModel.html" title="interface in org.apache.spark.mllib.regression">RegressionModel</a>, <a href="../../../../../org/apache/spark/mllib/util/Saveable.html" title="interface in org.apache.spark.mllib.util">Saveable</a></dd>
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<pre>public class <span class="strong">RidgeRegressionModel</span>
extends <a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html" title="class in org.apache.spark.mllib.regression">GeneralizedLinearModel</a>
implements <a href="../../../../../org/apache/spark/mllib/regression/RegressionModel.html" title="interface in org.apache.spark.mllib.regression">RegressionModel</a>, scala.Serializable, <a href="../../../../../org/apache/spark/mllib/util/Saveable.html" title="interface in org.apache.spark.mllib.util">Saveable</a>, <a href="../../../../../org/apache/spark/mllib/pmml/PMMLExportable.html" title="interface in org.apache.spark.mllib.pmml">PMMLExportable</a></pre>
<div class="block">Regression model trained using RidgeRegression.
 <p>
 param:  weights Weights computed for every feature.
 param:  intercept Intercept computed for this model.
 <p></div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../serialized-form.html#org.apache.spark.mllib.regression.RidgeRegressionModel">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/mllib/regression/RidgeRegressionModel.html#RidgeRegressionModel(org.apache.spark.mllib.linalg.Vector, double)">RidgeRegressionModel</a></strong>(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;weights,
                    double&nbsp;intercept)</code>&nbsp;</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>protected java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html#formatVersion()">formatVersion</a></strong>()</code>
<div class="block">Current version of model save/load format.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html#intercept()">intercept</a></strong>()</code>&nbsp;</td>
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<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html" title="class in org.apache.spark.mllib.regression">RidgeRegressionModel</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html#load(org.apache.spark.SparkContext, java.lang.String)">load</a></strong>(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
    java.lang.String&nbsp;path)</code>&nbsp;</td>
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<td class="colFirst"><code>protected double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html#predictPoint(org.apache.spark.mllib.linalg.Vector, org.apache.spark.mllib.linalg.Vector, double)">predictPoint</a></strong>(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;dataMatrix,
            <a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;weightMatrix,
            double&nbsp;intercept)</code>
<div class="block">Predict the result given a data point and the weights learned.</div>
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<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html#save(org.apache.spark.SparkContext, java.lang.String)">save</a></strong>(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
    java.lang.String&nbsp;path)</code>
<div class="block">Save this model to the given path.</div>
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<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a></code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html#weights()">weights</a></strong>()</code>&nbsp;</td>
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<code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html#predict(org.apache.spark.rdd.RDD)">predict</a>, <a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html#predict(org.apache.spark.mllib.linalg.Vector)">predict</a>, <a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html#toString()">toString</a></code></li>
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<h3>Methods inherited from interface&nbsp;org.apache.spark.mllib.regression.<a href="../../../../../org/apache/spark/mllib/regression/RegressionModel.html" title="interface in org.apache.spark.mllib.regression">RegressionModel</a></h3>
<code><a href="../../../../../org/apache/spark/mllib/regression/RegressionModel.html#predict(org.apache.spark.api.java.JavaRDD)">predict</a>, <a href="../../../../../org/apache/spark/mllib/regression/RegressionModel.html#predict(org.apache.spark.rdd.RDD)">predict</a>, <a href="../../../../../org/apache/spark/mllib/regression/RegressionModel.html#predict(org.apache.spark.mllib.linalg.Vector)">predict</a></code></li>
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<code><a href="../../../../../org/apache/spark/mllib/pmml/PMMLExportable.html#toPMML()">toPMML</a>, <a href="../../../../../org/apache/spark/mllib/pmml/PMMLExportable.html#toPMML(java.io.OutputStream)">toPMML</a>, <a href="../../../../../org/apache/spark/mllib/pmml/PMMLExportable.html#toPMML(org.apache.spark.SparkContext, java.lang.String)">toPMML</a>, <a href="../../../../../org/apache/spark/mllib/pmml/PMMLExportable.html#toPMML(javax.xml.transform.stream.StreamResult)">toPMML</a>, <a href="../../../../../org/apache/spark/mllib/pmml/PMMLExportable.html#toPMML(java.lang.String)">toPMML</a></code></li>
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<h4>RidgeRegressionModel</h4>
<pre>public&nbsp;RidgeRegressionModel(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;weights,
                    double&nbsp;intercept)</pre>
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<h4>load</h4>
<pre>public static&nbsp;<a href="../../../../../org/apache/spark/mllib/regression/RidgeRegressionModel.html" title="class in org.apache.spark.mllib.regression">RidgeRegressionModel</a>&nbsp;load(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
                        java.lang.String&nbsp;path)</pre>
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<pre>public&nbsp;<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;weights()</pre>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html#weights()">weights</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html" title="class in org.apache.spark.mllib.regression">GeneralizedLinearModel</a></code></dd>
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<pre>public&nbsp;double&nbsp;intercept()</pre>
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<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html#intercept()">intercept</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html" title="class in org.apache.spark.mllib.regression">GeneralizedLinearModel</a></code></dd>
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<h4>predictPoint</h4>
<pre>protected&nbsp;double&nbsp;predictPoint(<a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;dataMatrix,
                  <a href="../../../../../org/apache/spark/mllib/linalg/Vector.html" title="interface in org.apache.spark.mllib.linalg">Vector</a>&nbsp;weightMatrix,
                  double&nbsp;intercept)</pre>
<div class="block"><strong>Description copied from class:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html#predictPoint(org.apache.spark.mllib.linalg.Vector, org.apache.spark.mllib.linalg.Vector, double)">GeneralizedLinearModel</a></code></strong></div>
<div class="block">Predict the result given a data point and the weights learned.
 <p></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html#predictPoint(org.apache.spark.mllib.linalg.Vector, org.apache.spark.mllib.linalg.Vector, double)">predictPoint</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/spark/mllib/regression/GeneralizedLinearModel.html" title="class in org.apache.spark.mllib.regression">GeneralizedLinearModel</a></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>dataMatrix</code> - Row vector containing the features for this data point</dd><dd><code>weightMatrix</code> - Column vector containing the weights of the model</dd><dd><code>intercept</code> - Intercept of the model.</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>save</h4>
<pre>public&nbsp;void&nbsp;save(<a href="../../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a>&nbsp;sc,
        java.lang.String&nbsp;path)</pre>
<div class="block"><strong>Description copied from interface:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html#save(org.apache.spark.SparkContext, java.lang.String)">Saveable</a></code></strong></div>
<div class="block">Save this model to the given path.
 <p>
 This saves:
  - human-readable (JSON) model metadata to path/metadata/
  - Parquet formatted data to path/data/
 <p>
 The model may be loaded using <code>Loader.load</code>.
 <p></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html#save(org.apache.spark.SparkContext, java.lang.String)">save</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html" title="interface in org.apache.spark.mllib.util">Saveable</a></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>sc</code> - Spark context used to save model data.</dd><dd><code>path</code> - Path specifying the directory in which to save this model.
              If the directory already exists, this method throws an exception.</dd></dl>
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<pre>protected&nbsp;java.lang.String&nbsp;formatVersion()</pre>
<div class="block"><strong>Description copied from interface:&nbsp;<code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html#formatVersion()">Saveable</a></code></strong></div>
<div class="block">Current version of model save/load format.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html#formatVersion()">formatVersion</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/spark/mllib/util/Saveable.html" title="interface in org.apache.spark.mllib.util">Saveable</a></code></dd>
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