org.apache.spark.mllib.tree.loss
Class AbsoluteError

Object
  org.apache.spark.mllib.tree.loss.AbsoluteError

All Implemented Interfaces:

java.io.Serializable, Loss

public class AbsoluteError
extends Object
implements Loss

:: DeveloperApi :: 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.

See Also:

Serialized Form

Constructor Summary

AbsoluteError()

Method Summary

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 Object

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

Methods inherited from interface org.apache.spark.mllib.tree.loss.Loss

computeError, computeError, gradient

Constructor Detail

AbsoluteError

public AbsoluteError()

Method Detail

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