org.apache.spark.mllib.tree.impurity

Class Variance

java.lang.Object

org.apache.spark.mllib.tree.impurity.Variance

All Implemented Interfaces:

java.io.Serializable, Impurity

public class Variance
extends java.lang.Object
implements Impurity

:: Experimental :: Class for calculating variance during regression

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Variance()

Method Summary

Methods

Modifier and Type	Method and Description
static double	calculate(double[] counts, double totalCount) :: DeveloperApi :: information calculation for multiclass classification
static double	calculate(double count, double sum, double sumSquares) :: DeveloperApi :: variance calculation
static org.apache.spark.mllib.tree.impurity.Variance$	instance() Get this impurity instance.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.apache.spark.mllib.tree.impurity.Impurity

calculate, calculate

Constructor Detail

Variance

public Variance()

Method Detail

calculate

public static double calculate(double[] counts,
               double totalCount)

:: DeveloperApi :: information calculation for multiclass classification

Parameters:

counts - Array[Double] with counts for each label

totalCount - sum of counts for all labels

Returns:

information value, or 0 if totalCount = 0

calculate

public static double calculate(double count,
               double sum,
               double sumSquares)

:: DeveloperApi :: variance calculation

Parameters:

count - number of instances

sum - sum of labels

sumSquares - summation of squares of the labels

Returns:

information value, or 0 if count = 0

instance

public static org.apache.spark.mllib.tree.impurity.Variance$ instance()

Get this impurity instance. This is useful for passing impurity parameters to a Strategy in Java.

Returns:

(undocumented)