Package org.apache.spark.mllib.tree.loss

Class AbsoluteError

Object
org.apache.spark.mllib.tree.loss.AbsoluteError
public class AbsoluteError extends Object
Class for absolute error loss calculation (for regression).

The absolute (L1) error is defined as: |y - F(x)| where y is the label and F(x) is the model prediction for features x.

  • Constructor Summary

    Constructors
    Constructor
    Description
    AbsoluteError()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    static double
    gradient(double prediction, double label)
    Method to calculate the gradients for the gradient boosting calculation for least absolute error calculation.

    Methods inherited from class java.lang.Object

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

  • Constructor Details

    • AbsoluteError

      public AbsoluteError()

  • Method Details

    • gradient

      public static double gradient(double prediction, double label)
      Method to calculate the gradients for the gradient boosting calculation for least absolute error calculation. The gradient with respect to F(x) is: sign(F(x) - y)
      Parameters:
      prediction - Predicted label.
      label - True label.
      Returns:
      Loss gradient