org.apache.spark.mllib.regression

Class RidgeRegressionModel

Object

org.apache.spark.mllib.regression.GeneralizedLinearModel

org.apache.spark.mllib.regression.RidgeRegressionModel

All Implemented Interfaces:

java.io.Serializable, PMMLExportable, RegressionModel, Saveable

public class RidgeRegressionModel
extends GeneralizedLinearModel
implements RegressionModel, scala.Serializable, Saveable, PMMLExportable

Regression model trained using RidgeRegression.

param: weights Weights computed for every feature. param: intercept Intercept computed for this model.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RidgeRegressionModel(Vector weights, double intercept)

Method Summary

Modifier and Type	Method and Description
double	intercept()
static RidgeRegressionModel	load(SparkContext sc, String path)
static JavaRDD<Double>	predict(JavaRDD<Vector> testData)
static RDD<Object>	predict(RDD<Vector> testData)
static double	predict(Vector testData)
void	save(SparkContext sc, String path) Save this model to the given path.
static String	toPMML()
static void	toPMML(java.io.OutputStream outputStream)
static void	toPMML(SparkContext sc, String path)
static void	toPMML(String localPath)
static String	toString()
Vector	weights()

Methods inherited from class org.apache.spark.mllib.regression.GeneralizedLinearModel

predict, predict, toString

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.spark.mllib.regression.RegressionModel

predict, predict, predict

Methods inherited from interface org.apache.spark.mllib.pmml.PMMLExportable

toPMML, toPMML, toPMML, toPMML, toPMML

Constructor Detail

RidgeRegressionModel

public RidgeRegressionModel(Vector weights,
                            double intercept)

Method Detail

load

public static RidgeRegressionModel load(SparkContext sc,
                                        String path)

predict

public static RDD<Object> predict(RDD<Vector> testData)

predict

public static double predict(Vector testData)

toString

public static String toString()

predict

public static JavaRDD<Double> predict(JavaRDD<Vector> testData)

toPMML

public static void toPMML(String localPath)

toPMML

public static void toPMML(SparkContext sc,
                          String path)

toPMML

public static void toPMML(java.io.OutputStream outputStream)

toPMML

public static String toPMML()

weights

public Vector weights()

Overrides:

weights in class GeneralizedLinearModel

intercept

public double intercept()

Overrides:

intercept in class GeneralizedLinearModel

save

public void save(SparkContext sc,
                 String path)

Description copied from interface: Saveable

Save this model to the given path.

This saves: - human-readable (JSON) model metadata to path/metadata/ - Parquet formatted data to path/data/

The model may be loaded using Loader.load.

Specified by:

save in interface Saveable

Parameters:

sc - Spark context used to save model data.

path - Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.