org.apache.ignite.ml.tree.randomforest.data.statistics

Class NormalDistributionStatistics

java.lang.Object

org.apache.ignite.ml.tree.randomforest.data.statistics.NormalDistributionStatistics

All Implemented Interfaces:

Serializable

public class NormalDistributionStatistics
extends Object
implements Serializable

Aggregator of normal distribution statistics for continual features.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NormalDistributionStatistics(double min, double max, double sumOfSquares, double sumOfValues, long n) Creates an instance of NormalDistributionStatistics.

Method Summary

Modifier and Type	Method and Description
double	max()
double	mean()
double	min()
NormalDistributionStatistics	plus(NormalDistributionStatistics stats) Returns plus of normal distribution statistics.
double	std()
double	variance()

Methods inherited from class java.lang.Object

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

Constructor Detail

NormalDistributionStatistics

public NormalDistributionStatistics(double min,
                                    double max,
                                    double sumOfSquares,
                                    double sumOfValues,
                                    long n)

Creates an instance of NormalDistributionStatistics.

Parameters:

min - Min.

max - Max.

sumOfSquares - Sum of squares.

sumOfValues - Sum of values.

n - N.

Method Detail

plus

public NormalDistributionStatistics plus(NormalDistributionStatistics stats)

Returns plus of normal distribution statistics.

Parameters:

stats - Stats.

Returns:

Plus of normal distribution statistics.

mean

public double mean()

Returns:

Mean value.

variance

public double variance()

Returns:

Variance value.

std

public double std()

Returns:

Standard deviation value.

min

public double min()

Returns:

Min value.

max

public double max()

Returns:

Max value.