deepnetts.util

Class StatUtils

java.lang.Object

deepnetts.util.StatUtils

public class StatUtils
extends Object

Author:

Zoran

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	StatUtils.Histogram

Constructor Summary

Constructors

Constructor and Description
StatUtils()

Method Summary

Modifier and Type	Method and Description
static float	correlation(float[] values1, float[] values2) Calculates and returns Pearson correlation coefficient for the given arrays.
static float[][]	correlationMatrix(float[][] values)
static DescriptiveStatistics	descriptiveStatistics(float[] values)
static StatUtils.Histogram	histogram(float[] values, int numBins)
static StatUtils.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 Detail

StatUtils

public StatUtils()

Method Detail

histogram

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

histogram

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

descriptiveStatistics

public static DescriptiveStatistics 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)