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.

Linear Supertypes
Product, Equals, ParamGroup, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. DatasetParams
  2. Product
  3. Equals
  4. ParamGroup
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

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. def appendParams(sb: ParamsStringBuilder): ParamsStringBuilder
    Definition Classes
    DatasetParams → ParamGroup
  2. val isEnableSparse: Option[Boolean]
  3. def toString(): String
    Definition Classes
    ParamGroup → AnyRef → Any
  4. val useMissing: Option[Boolean]
  5. val zeroAsMissing: Option[Boolean]