org.apache.spark.mllib.regression.impl

Class GLMRegressionModel.SaveLoadV1_0$.Data

Object

org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0$.Data

All Implemented Interfaces:

java.io.Serializable, scala.Equals, scala.Product

Enclosing class:

GLMRegressionModel.SaveLoadV1_0$

public class GLMRegressionModel.SaveLoadV1_0$.Data
extends Object
implements scala.Product, scala.Serializable

Model data for model import/export

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Data(Vector weights, double intercept)

Method Summary

Modifier and Type	Method and Description
abstract static R	apply(T1 v1, T2 v2)
double	intercept()
static String	toString()
Vector	weights()

Methods inherited from class Object

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

Methods inherited from interface scala.Product

$init$, productArity, productElement, productIterator, productPrefix

Methods inherited from interface scala.Equals

canEqual, equals

Constructor Detail

Data

public Data(Vector weights,
            double intercept)

Method Detail

apply

public abstract static R apply(T1 v1,
                               T2 v2)

toString

public static String toString()

weights

public Vector weights()

intercept

public double intercept()