case class DatasetParams(isEnableSparse: Option[Boolean], useMissing: Option[Boolean], zeroAsMissing: Option[Boolean]) extends ParamGroup with Product with Serializable

Defines the Dataset parameters passed to the LightGBM classifier.

isEnableSparse

Used to enable/disable sparse optimization.

useMissing

Set this to false to disable the special handle of missing value.

zeroAsMissing

Set to true to treat all zero as missing values (including the unshown values in LibSVM/sparse matrices) Set to false to use na for representing missing values.

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Instance Constructors

  1. new DatasetParams(isEnableSparse: Option[Boolean], useMissing: Option[Boolean], zeroAsMissing: Option[Boolean])

    isEnableSparse

    Used to enable/disable sparse optimization.

    useMissing

    Set this to false to disable the special handle of missing value.

    zeroAsMissing

    Set to true to treat all zero as missing values (including the unshown values in LibSVM/sparse matrices) Set to false to use na for representing missing values.

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def appendParams(sb: ParamsStringBuilder): ParamsStringBuilder
    Definition Classes
    DatasetParamsParamGroup
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  9. final def getClass(): Class[_]
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  10. val isEnableSparse: Option[Boolean]
  11. final def isInstanceOf[T0]: Boolean
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  12. final def ne(arg0: AnyRef): Boolean
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  13. final def notify(): Unit
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  15. final def synchronized[T0](arg0: ⇒ T0): T0
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  16. def toString(): String
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  17. val useMissing: Option[Boolean]
  18. final def wait(): Unit
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  19. final def wait(arg0: Long, arg1: Int): Unit
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  20. final def wait(arg0: Long): Unit
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  21. val zeroAsMissing: Option[Boolean]

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