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
    `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

    - #### FeatureImportanceType

          public FeatureImportanceType()

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