Package org.apache.spark.mllib.regression.impl

Class GLMRegressionModel.SaveLoadV1_0$.Data

Object
org.apache.spark.mllib.regression.impl.GLMRegressionModel.SaveLoadV1_0$.Data
All Implemented Interfaces:
Serializable, scala.Equals, scala.Product
Enclosing class:
GLMRegressionModel.SaveLoadV1_0$
public class GLMRegressionModel.SaveLoadV1_0$.Data extends Object implements scala.Product, Serializable
Model data for model import/export
See Also:

  • Constructor Summary

    Constructors
    Constructor
    Description
    Data(Vector weights, double intercept)
     

  • Method Summary

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

    Methods inherited from class java.lang.Object

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

    Methods inherited from interface scala.Equals

    canEqual, equals

    Methods inherited from interface scala.Product

    productArity, productElement, productElementName, productElementNames, productIterator, productPrefix

  • Constructor Details

    • Data

      public Data(Vector weights, double intercept)

  • Method Details

    • apply

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

    • toString

      public static String toString()

    • weights

      public Vector weights()

    • intercept

      public double intercept()