water.util

Class MathUtils.BasicStats

java.lang.Object

water.Iced

water.util.MathUtils.BasicStats

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable

Enclosing class:

MathUtils

public static final class MathUtils.BasicStats
extends Iced

Wrapper around weighted paralell basic stats computation (mean, variance)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
long[]	_nzCnt
double	_wsum

Constructor Summary

Constructors

Constructor and Description
MathUtils.BasicStats(int n)

Method Summary

Methods

Modifier and Type	Method and Description
void	add(double w)
void	add(double[] x, double w)
void	add(double x, double w, int i)
void	fillInZeros(long len, double wsum) To be called at the end to adjust for the skipped zeros (if using sparse).
double[]	mean()
double	mean(int i)
long	nobs()
void	reduce(MathUtils.BasicStats bs)
double[]	sigma()
double	sigma(int i)
boolean	sparse()
double[]	variance()
double	variance(int i)

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

_wsum

public double _wsum

_nzCnt

public long[] _nzCnt

Constructor Detail

MathUtils.BasicStats

public MathUtils.BasicStats(int n)

Method Detail

add

public void add(double w)

add

public void add(double x,
       double w,
       int i)

add

public void add(double[] x,
       double w)

fillInZeros

public void fillInZeros(long len,
               double wsum)

To be called at the end to adjust for the skipped zeros (if using sparse).

Parameters:

len - - number of (non-skipped) lines in the dataset

wsum - - sum of all weights

reduce

public void reduce(MathUtils.BasicStats bs)

variance

public double variance(int i)

variance

public double[] variance()

sigma

public double sigma(int i)

sigma

public double[] sigma()

mean

public double[] mean()

mean

public double mean(int i)

nobs

public long nobs()

sparse

public boolean sparse()