greycat.ml.profiling

Class Gaussian

java.lang.Object

greycat.ml.profiling.Gaussian

public class Gaussian
extends Object

Created by assaad on 20/02/2017.

Field Summary

Fields

Modifier and Type	Field and Description
static String	AVG
static String	COV
static String	HISTOGRAM_CENTER
static String	HISTOGRAM_VALUES
static String	MAX
static String	MIN
static String	NULL
static String	PRECISIONS
static String	REJECT
static int	STATUS_ACCEPTED
static int	STATUS_NULL
static int	STATUS_REJECTED
static String	STD
static String	SUM
static String	SUMSQ
static String	TOTAL
static String	VALUES

Constructor Summary

Constructors

Constructor and Description
Gaussian()

Method Summary

Modifier and Type	Method and Description
static void	clearProfile(Node host)
static void	histogram(Node host, double min, double max, Double value, int histogramBins)
static double[]	inverseNormalise(double[] input, double[] avg, double[] std)
static void	inversenormaliseMatrix(DMatrix input, double[] avg, double[] std)
static double[]	inverseNormaliseMinMax(double[] input, double[] min, double[] max)
static void	inversenormaliseMinMaxMatrix(DMatrix input, double[] avg, double[] std)
static double	inverseNormaliseMinMaxValue(double input, double min, double max)
static double	inverseNormaliseValue(double input, double avg, double std)
static double[]	normalise(double[] input, double[] avg, double[] std)
static void	normaliseMatrix(DMatrix input, double[] avg, double[] std)
static double[]	normaliseMinMax(double[] input, double[] min, double[] max)
static void	normaliseMinMaxMatrix(DMatrix input, double[] avg, double[] std)
static double	normaliseMinMaxValue(double input, double min, double max)
static double	normaliseValue(double input, double avg, double std)
static int	profile(Node host, Double value, Double boundMin, Double boundMax)

Methods inherited from class java.lang.Object

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

Field Detail

NULL

public static final String NULL

See Also:

Constant Field Values

REJECT

public static final String REJECT

See Also:

Constant Field Values

MIN

public static final String MIN

See Also:

Constant Field Values

MAX

public static final String MAX

See Also:

Constant Field Values

AVG

public static final String AVG

See Also:

Constant Field Values

COV

public static final String COV

See Also:

Constant Field Values

STD

public static final String STD

See Also:

Constant Field Values

SUM

public static final String SUM

See Also:

Constant Field Values

SUMSQ

public static final String SUMSQ

See Also:

Constant Field Values

TOTAL

public static final String TOTAL

See Also:

Constant Field Values

PRECISIONS

public static final String PRECISIONS

See Also:

Constant Field Values

VALUES

public static final String VALUES

See Also:

Constant Field Values

HISTOGRAM_CENTER

public static final String HISTOGRAM_CENTER

See Also:

Constant Field Values

HISTOGRAM_VALUES

public static final String HISTOGRAM_VALUES

See Also:

Constant Field Values

STATUS_NULL

public static final int STATUS_NULL

See Also:

Constant Field Values

STATUS_ACCEPTED

public static final int STATUS_ACCEPTED

See Also:

Constant Field Values

STATUS_REJECTED

public static final int STATUS_REJECTED

See Also:

Constant Field Values

Constructor Detail

Gaussian

public Gaussian()

Method Detail

profile

public static int profile(Node host,
                          Double value,
                          Double boundMin,
                          Double boundMax)

clearProfile

public static void clearProfile(Node host)

histogram

public static void histogram(Node host,
                             double min,
                             double max,
                             Double value,
                             int histogramBins)

normaliseMatrix

public static void normaliseMatrix(DMatrix input,
                                   double[] avg,
                                   double[] std)

inversenormaliseMatrix

public static void inversenormaliseMatrix(DMatrix input,
                                          double[] avg,
                                          double[] std)

normaliseMinMaxMatrix

public static void normaliseMinMaxMatrix(DMatrix input,
                                         double[] avg,
                                         double[] std)

inversenormaliseMinMaxMatrix

public static void inversenormaliseMinMaxMatrix(DMatrix input,
                                                double[] avg,
                                                double[] std)

normaliseValue

public static double normaliseValue(double input,
                                    double avg,
                                    double std)

inverseNormaliseValue

public static double inverseNormaliseValue(double input,
                                           double avg,
                                           double std)

normaliseMinMaxValue

public static double normaliseMinMaxValue(double input,
                                          double min,
                                          double max)

inverseNormaliseMinMaxValue

public static double inverseNormaliseMinMaxValue(double input,
                                                 double min,
                                                 double max)

normalise

public static double[] normalise(double[] input,
                                 double[] avg,
                                 double[] std)

inverseNormalise

public static double[] inverseNormalise(double[] input,
                                        double[] avg,
                                        double[] std)

normaliseMinMax

public static double[] normaliseMinMax(double[] input,
                                       double[] min,
                                       double[] max)

inverseNormaliseMinMax

public static double[] inverseNormaliseMinMax(double[] input,
                                              double[] min,
                                              double[] max)