Package ml.dmlc.xgboost4j.java
Class Booster.FeatureImportanceType
- java.lang.Object
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- ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
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- 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
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Field Summary
Fields Modifier and Type Field Description static Set<String>
ACCEPTED_TYPES
static String
COVER
static String
GAIN
static String
TOTAL_COVER
static String
TOTAL_GAIN
static String
WEIGHT
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Constructor Summary
Constructors Constructor Description FeatureImportanceType()
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Field Detail
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WEIGHT
public static final String WEIGHT
- See Also:
- Constant Field Values
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GAIN
public static final String GAIN
- See Also:
- Constant Field Values
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COVER
public static final String COVER
- See Also:
- Constant Field Values
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TOTAL_GAIN
public static final String TOTAL_GAIN
- See Also:
- Constant Field Values
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TOTAL_COVER
public static final String TOTAL_COVER
- See Also:
- Constant Field Values
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