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, RegressionModel

public class RidgeRegressionModel
extends GeneralizedLinearModel
implements RegressionModel, scala.Serializable

Regression model trained using RidgeRegression.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RidgeRegressionModel(Vector weights, double intercept)

Method Summary

Methods

Modifier and Type	Method and Description
double	intercept()
Vector	weights()

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

predict, predict

Methods inherited from class Object

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

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

predict, predict, predict

Constructor Detail

RidgeRegressionModel

public RidgeRegressionModel(Vector weights,
                    double intercept)

Method Detail

weights

public Vector weights()

Overrides:

weights in class GeneralizedLinearModel

intercept

public double intercept()

Overrides:

intercept in class GeneralizedLinearModel