case class ObjectiveParams(objective: String, fobj: Option[FObjTrait]) extends Serializable with Product

Defines parameters related to the lightgbm objective function.

objective

The Objective. For regression applications, this can be: regression_l2, regression_l1, huber, fair, poisson, quantile, mape, gamma or tweedie. For classification applications, this can be: binary, multiclass, or multiclassova.

fobj

Customized objective function. Should accept two parameters: preds, train_data, and return (grad, hess).

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Instance Constructors

  1. new ObjectiveParams(objective: String, fobj: Option[FObjTrait])

    objective

    The Objective. For regression applications, this can be: regression_l2, regression_l1, huber, fair, poisson, quantile, mape, gamma or tweedie. For classification applications, this can be: binary, multiclass, or multiclassova.

    fobj

    Customized objective function. Should accept two parameters: preds, train_data, and return (grad, hess).

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
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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
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    protected[lang]
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    @throws( ... ) @native()
  6. final def eq(arg0: AnyRef): Boolean
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  7. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  8. val fobj: Option[FObjTrait]
  9. final def getClass(): Class[_]
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    @native()
  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  11. final def ne(arg0: AnyRef): Boolean
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  12. final def notify(): Unit
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    @native()
  13. final def notifyAll(): Unit
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    @native()
  14. val objective: String
  15. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  16. def toString(): String
    Definition Classes
    ObjectiveParams → AnyRef → Any
  17. final def wait(): Unit
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    @throws( ... )
  18. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  19. final def wait(arg0: Long): Unit
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