Package deepnetts.util

Class Statistics

java.lang.Object

deepnetts.util.Statistics

public class Statistics
extends Object

Statistical functions.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	Statistics.Histogram

Constructor Summary

Constructors

Constructor	Description
Statistics()

Method Summary

Modifier and Type	Method	Description
static float	correlation(float[] values1, float[] values2)	Calculates and returns Pearson correlation coefficient for the given arrays.
static float[][]	correlationMatrix(float[][] values)
static Stats	descriptiveStatistics(float[] values)
static Statistics.Histogram	histogram(float[] values)
static Statistics.Histogram	histogram(float[] values, int numBins)
static Statistics.Histogram	histogram(float[] values, int numBins, float min, float max)
static float	max(float[] values)
static float	mean(float[] values)
static float	min(float[] values)
static int	missingValuesCount(float[] values)
static int[]	missingValuesCount(float[][] values)
static int[]	missingValuesCount(TabularDataSet<TabularDataSet.Item> dataSet)
static Range	range(float[] values)
static float	standardDeviation(float[] values, float mean)
static float	variance(float[] values, float mean)

Methods inherited from class java.lang.Object

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

Constructor Details

Statistics

public Statistics()

Method Details

histogram

public static Statistics.Histogram histogram(float[] values,
 int numBins)

histogram

public static Statistics.Histogram histogram(float[] values,
 int numBins,
 float min,
 float max)

histogram

public static Statistics.Histogram histogram(float[] values)

descriptiveStatistics

public static Stats descriptiveStatistics(float[] values)

max

public static float max(float[] values)

min

public static float min(float[] values)

range

public static Range range(float[] values)

mean

public static float mean(float[] values)

standardDeviation

public static float standardDeviation(float[] values,
 float mean)

variance

public static float variance(float[] values,
 float mean)

correlation

public static float correlation(float[] values1,
 float[] values2)

Calculates and returns Pearson correlation coefficient for the given arrays.

Parameters:

values1 -

values2 -

Returns:

correlationMatrix

public static float[][] correlationMatrix(float[][] values)

missingValuesCount

public static int missingValuesCount(float[] values)

missingValuesCount

public static int[] missingValuesCount(float[][] values)

missingValuesCount

public static int[] missingValuesCount(TabularDataSet<TabularDataSet.Item> dataSet)