Class

com.microsoft.ml.spark.lightgbm

ClassifierTrainParams

Related Doc: package lightgbm

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case class ClassifierTrainParams(parallelism: String, numIterations: Int, learningRate: Double, numLeaves: Int, maxBin: Int, baggingFraction: Double, baggingFreq: Int, baggingSeed: Int, earlyStoppingRound: Int, featureFraction: Double, maxDepth: Int, minSumHessianInLeaf: Double, numMachines: Int, objective: String, modelString: Option[String], isUnbalance: Boolean, verbosity: Int, categoricalFeatures: Array[Int], numClass: Int, metric: String, boostFromAverage: Boolean, boostingType: String, lambdaL1: Double, lambdaL2: Double, isProvideTrainingMetric: Boolean, generateMissingLabels: Boolean) extends TrainParams with Product with Serializable

Defines the Booster parameters passed to the LightGBM classifier.

Linear Supertypes
Product, Equals, TrainParams, Serializable, Serializable, AnyRef, Any
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Inherited
  1. ClassifierTrainParams
  2. Product
  3. Equals
  4. TrainParams
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new ClassifierTrainParams(parallelism: String, numIterations: Int, learningRate: Double, numLeaves: Int, maxBin: Int, baggingFraction: Double, baggingFreq: Int, baggingSeed: Int, earlyStoppingRound: Int, featureFraction: Double, maxDepth: Int, minSumHessianInLeaf: Double, numMachines: Int, objective: String, modelString: Option[String], isUnbalance: Boolean, verbosity: Int, categoricalFeatures: Array[Int], numClass: Int, metric: String, boostFromAverage: Boolean, boostingType: String, lambdaL1: Double, lambdaL2: Double, isProvideTrainingMetric: Boolean, generateMissingLabels: Boolean)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Any

  5. val baggingFraction: Double

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    Definition Classes
    ClassifierTrainParams → TrainParams

  6. val baggingFreq: Int

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    Definition Classes
    ClassifierTrainParams → TrainParams

  7. val baggingSeed: Int

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    Definition Classes
    ClassifierTrainParams → TrainParams

  8. val boostFromAverage: Boolean

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  9. val boostingType: String

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    Definition Classes
    ClassifierTrainParams → TrainParams

  10. val categoricalFeatures: Array[Int]

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    Definition Classes
    ClassifierTrainParams → TrainParams

  11. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  12. val earlyStoppingRound: Int

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    Definition Classes
    ClassifierTrainParams → TrainParams

  13. final def eq(arg0: AnyRef): Boolean

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    AnyRef

  14. val featureFraction: Double

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    Definition Classes
    ClassifierTrainParams → TrainParams

  15. def finalize(): Unit

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    protected[java.lang]
    Definition Classes
    AnyRef
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    @throws( classOf[java.lang.Throwable] )

  16. val generateMissingLabels: Boolean

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  17. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. val isProvideTrainingMetric: Boolean

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    Definition Classes
    ClassifierTrainParams → TrainParams

  20. val isUnbalance: Boolean

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  21. val lambdaL1: Double

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    Definition Classes
    ClassifierTrainParams → TrainParams

  22. val lambdaL2: Double

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    ClassifierTrainParams → TrainParams

  23. val learningRate: Double

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    Definition Classes
    ClassifierTrainParams → TrainParams

  24. val maxBin: Int

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    Definition Classes
    ClassifierTrainParams → TrainParams

  25. val maxDepth: Int

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    Definition Classes
    ClassifierTrainParams → TrainParams

  26. val metric: String

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  27. val minSumHessianInLeaf: Double

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    Definition Classes
    ClassifierTrainParams → TrainParams

  28. val modelString: Option[String]

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    Definition Classes
    ClassifierTrainParams → TrainParams

  29. final def ne(arg0: AnyRef): Boolean

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    AnyRef

  30. final def notify(): Unit

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    AnyRef

  31. final def notifyAll(): Unit

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  32. val numClass: Int

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  33. val numIterations: Int

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    ClassifierTrainParams → TrainParams

  34. val numLeaves: Int

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    Definition Classes
    ClassifierTrainParams → TrainParams

  35. val numMachines: Int

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    Definition Classes
    ClassifierTrainParams → TrainParams

  36. val objective: String

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    Definition Classes
    ClassifierTrainParams → TrainParams

  37. val parallelism: String

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    Definition Classes
    ClassifierTrainParams → TrainParams

  38. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  39. def toString(): String

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    Definition Classes
    ClassifierTrainParams → TrainParams → AnyRef → Any

  40. val verbosity: Int

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    ClassifierTrainParams → TrainParams

  41. final def wait(): Unit

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    Annotations
    @throws( ... )

  42. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )

  43. final def wait(arg0: Long): Unit

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    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from TrainParams

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped