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)
void	save(SparkContext sc, String path) Save this model to the given path.
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)

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.