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c

ml.dmlc.xgboost4j.java

ColumnBatch

abstract class ColumnBatch extends AutoCloseable

The abstracted XGBoost ColumnBatch to get array interface from columnar data format. For example, the cuDF dataframe which employs apache arrow specification.

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Instance Constructors

  1. new ColumnBatch()

Abstract Value Members

  1. abstract def getBaseMarginsArrayInterface(): String

    Get the cuda array interface of the base margin columns.

    Get the cuda array interface of the base margin columns. The returned value can be null or empty

  2. abstract def getFeatureArrayInterface(): String

    Get the cuda array interface of the feature columns.

    Get the cuda array interface of the feature columns. The returned value must not be null or empty

  3. abstract def getLabelsArrayInterface(): String

    Get the cuda array interface of the label columns.

    Get the cuda array interface of the label columns. The returned value must not be null or empty if we're creating float, int, int)

  4. abstract def getWeightsArrayInterface(): String

    Get the cuda array interface of the weight columns.

    Get the cuda array interface of the weight columns. The returned value can be null or empty

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
    Attributes
    protected[lang]
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    @throws( ... ) @native()
  6. def close(): Unit
    Definition Classes
    ColumnBatch → AutoCloseable
    Annotations
    @Override()
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  8. def equals(arg0: Any): Boolean
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  9. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] )
  10. final def getArrayInterfaceJson(): String

    Get the cuda array interface json string for the whole ColumnBatch including the must-have feature, label columns and the optional weight, base margin columns.

    Get the cuda array interface json string for the whole ColumnBatch including the must-have feature, label columns and the optional weight, base margin columns.

    This function is be called by native code during iteration and can be made as private method. We keep it as public simply to silent the linter.

  11. final def getClass(): Class[_]
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    @native()
  12. def hashCode(): Int
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    @native()
  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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    @native()
  16. final def notifyAll(): Unit
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    @native()
  17. final def synchronized[T0](arg0: ⇒ T0): T0
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  18. def toString(): String
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  19. final def wait(): Unit
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    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit
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  21. final def wait(arg0: Long): Unit
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