ml.dmlc.xgboost4j.java

Class Booster.FeatureImportanceType

java.lang.Object

ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

Enclosing class:

Booster

public static class Booster.FeatureImportanceType
extends Object

Supported feature importance types WEIGHT = Number of nodes that a feature was used to determine a split GAIN = Average information gain per split for a feature COVER = Average cover per split for a feature TOTAL_GAIN = Total information gain over all splits of a feature TOTAL_COVER = Total cover over all splits of a feature

Field Summary

Fields

Modifier and Type	Field and Description
static Set<String>	ACCEPTED_TYPES
static String	COVER
static String	GAIN
static String	TOTAL_COVER
static String	TOTAL_GAIN
static String	WEIGHT

Constructor Summary

Constructors

Constructor and Description
Booster.FeatureImportanceType()

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

WEIGHT

public static final String WEIGHT

See Also:

Constant Field Values

GAIN

public static final String GAIN

See Also:

Constant Field Values

COVER

public static final String COVER

See Also:

Constant Field Values

TOTAL_GAIN

public static final String TOTAL_GAIN

See Also:

Constant Field Values

TOTAL_COVER

public static final String TOTAL_COVER

See Also:

Constant Field Values

ACCEPTED_TYPES

public static final Set<String> ACCEPTED_TYPES

Constructor Detail

Booster.FeatureImportanceType

public Booster.FeatureImportanceType()