hex.tree.dt.binning

Class Histogram

java.lang.Object

hex.tree.dt.binning.Histogram

public class Histogram
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
Histogram(water.fvec.Frame originData, DataFeaturesLimits conditionLimits, BinningStrategy binningStrategy)

Method Summary

Modifier and Type	Method and Description
java.util.List<SplitStatistics>	calculateSplitStatisticsForCategoricalFeature(int feature)
java.util.List<SplitStatistics>	calculateSplitStatisticsForNumericFeature(int feature)
int	featuresCount()
java.util.List<AbstractBin>	getFeatureBins(int featureIndex) Get list of feature bins (copy) - for testing.
static DataFeaturesLimits	getFeaturesLimitsForConditions(water.fvec.Frame originData, DataFeaturesLimits conditionLimits) Computes features limits considering known condition limits of ancestors.
boolean	isConstant(int featureIndex)

Methods inherited from class java.lang.Object

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

Constructor Detail

Histogram

public Histogram(water.fvec.Frame originData,
                 DataFeaturesLimits conditionLimits,
                 BinningStrategy binningStrategy)

Method Detail

getFeatureBins

public java.util.List<AbstractBin> getFeatureBins(int featureIndex)

Get list of feature bins (copy) - for testing.

Parameters:

featureIndex - feature index

Returns:

list of feature bins

featuresCount

public int featuresCount()

getFeaturesLimitsForConditions

public static DataFeaturesLimits getFeaturesLimitsForConditions(water.fvec.Frame originData,
                                                                DataFeaturesLimits conditionLimits)

Computes features limits considering known condition limits of ancestors. For example: what are real limits of all features considering that feature x is limited by values x_i and x_j.

Returns:

new features limits

calculateSplitStatisticsForNumericFeature

public java.util.List<SplitStatistics> calculateSplitStatisticsForNumericFeature(int feature)

calculateSplitStatisticsForCategoricalFeature

public java.util.List<SplitStatistics> calculateSplitStatisticsForCategoricalFeature(int feature)

isConstant

public boolean isConstant(int featureIndex)