hex.tree.dt

Class DataFeaturesLimits

java.lang.Object

hex.tree.dt.DataFeaturesLimits

public class DataFeaturesLimits
extends java.lang.Object

Features limits for the whole dataset.

Constructor Summary

Constructors

Constructor and Description
DataFeaturesLimits(double[][] featureLimits)
DataFeaturesLimits(java.util.List<AbstractFeatureLimits> featureLimits)

Method Summary

Modifier and Type	Method and Description
DataFeaturesLimits	clone()
boolean	equals(DataFeaturesLimits other)
int	featuresCount() Get count of features.
AbstractFeatureLimits	getFeatureLimits(int featureIndex)
double[][]	toDoubles() Serialize limits to 2D double array depending on the features types, so it can be passed to MR task
DataFeaturesLimits	updateMask(int selectedFeature, boolean[] newMask) Creates new instance of limits with updated mask - replaces old mask with new more precise one.
DataFeaturesLimits	updateMaskExcluded(int selectedFeature, boolean[] maskToExclude) Creates new instance of limits with updated mask - excludes from the current mask categories defined by the new one.
DataFeaturesLimits	updateMax(int selectedFeature, double newMax) Creates new instance of limits with updated max.
DataFeaturesLimits	updateMin(int selectedFeature, double newMin) Creates new instance of limits with updated min.

Methods inherited from class java.lang.Object

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

Constructor Detail

DataFeaturesLimits

public DataFeaturesLimits(java.util.List<AbstractFeatureLimits> featureLimits)

DataFeaturesLimits

public DataFeaturesLimits(double[][] featureLimits)

Method Detail

clone

public DataFeaturesLimits clone()

Overrides:

clone in class java.lang.Object

updateMin

public DataFeaturesLimits updateMin(int selectedFeature,
                                    double newMin)

Creates new instance of limits with updated min.

Parameters:

selectedFeature - feature index to update min

newMin - new min value for feature

Returns:

clone with updated min

updateMax

public DataFeaturesLimits updateMax(int selectedFeature,
                                    double newMax)

Creates new instance of limits with updated max.

Parameters:

selectedFeature - feature index to update max

newMax - new max value for feature

Returns:

clone with updated max

updateMask

public DataFeaturesLimits updateMask(int selectedFeature,
                                     boolean[] newMask)

Creates new instance of limits with updated mask - replaces old mask with new more precise one.

Parameters:

selectedFeature - feature index to update mask

newMask - new mask for the feature

Returns:

clone with updated mask

updateMaskExcluded

public DataFeaturesLimits updateMaskExcluded(int selectedFeature,
                                             boolean[] maskToExclude)

Creates new instance of limits with updated mask - excludes from the current mask categories defined by the new one.

Parameters:

selectedFeature - feature index to update mask

maskToExclude - new mask for the feature

Returns:

clone with updated mask

getFeatureLimits

public AbstractFeatureLimits getFeatureLimits(int featureIndex)

toDoubles

public double[][] toDoubles()

Serialize limits to 2D double array depending on the features types, so it can be passed to MR task

Returns:

featuresCount

public int featuresCount()

Get count of features.

Returns:

count of features

equals

public boolean equals(DataFeaturesLimits other)