org.apache.spark.mllib.regression
Class LinearRegressionModel

Object
  org.apache.spark.mllib.regression.GeneralizedLinearModel
      org.apache.spark.mllib.regression.LinearRegressionModel

All Implemented Interfaces:

java.io.Serializable, PMMLExportable, RegressionModel, Saveable

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

Regression model trained using LinearRegression.

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

See Also:

Serialized Form

Constructor Summary

LinearRegressionModel(Vector weights, double intercept)

Method Summary

double	intercept()
static LinearRegressionModel	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

LinearRegressionModel

public LinearRegressionModel(Vector weights,
                             double intercept)

Method Detail

load

public static LinearRegressionModel 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.