Class

com.microsoft.ml.spark.lightgbm

ClassifierTrainParams

Related Doc: package lightgbm

Permalink

case class ClassifierTrainParams(parallelism: String, topK: Int, numIterations: Int, learningRate: Double, numLeaves: Int, maxBin: Int, binSampleCount: Int, baggingFraction: Double, posBaggingFraction: Double, negBaggingFraction: Double, baggingFreq: Int, baggingSeed: Int, earlyStoppingRound: Int, improvementTolerance: Double, featureFraction: Double, maxDepth: Int, minSumHessianInLeaf: Double, numMachines: Int, objective: String, modelString: Option[String], isUnbalance: Boolean, verbosity: Int, categoricalFeatures: Array[Int], numClass: Int, boostFromAverage: Boolean, boostingType: String, lambdaL1: Double, lambdaL2: Double, isProvideTrainingMetric: Boolean, metric: String, minGainToSplit: Double, maxDeltaStep: Double, maxBinByFeature: Array[Int], minDataInLeaf: Int, featureNames: Array[String], delegate: Option[LightGBMDelegate]) extends TrainParams with Product with Serializable

Defines the Booster parameters passed to the LightGBM classifier.

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

Instance Constructors

  1. new ClassifierTrainParams(parallelism: String, topK: Int, numIterations: Int, learningRate: Double, numLeaves: Int, maxBin: Int, binSampleCount: Int, baggingFraction: Double, posBaggingFraction: Double, negBaggingFraction: Double, baggingFreq: Int, baggingSeed: Int, earlyStoppingRound: Int, improvementTolerance: Double, featureFraction: Double, maxDepth: Int, minSumHessianInLeaf: Double, numMachines: Int, objective: String, modelString: Option[String], isUnbalance: Boolean, verbosity: Int, categoricalFeatures: Array[Int], numClass: Int, boostFromAverage: Boolean, boostingType: String, lambdaL1: Double, lambdaL2: Double, isProvideTrainingMetric: Boolean, metric: String, minGainToSplit: Double, maxDeltaStep: Double, maxBinByFeature: Array[Int], minDataInLeaf: Int, featureNames: Array[String], delegate: Option[LightGBMDelegate])

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. val baggingFraction: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  6. val baggingFreq: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  7. val baggingSeed: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  8. val binSampleCount: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  9. val boostFromAverage: Boolean

    Permalink
  10. val boostingType: String

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  11. val categoricalFeatures: Array[Int]

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  12. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. val delegate: Option[LightGBMDelegate]

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  14. val earlyStoppingRound: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  15. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  16. val featureFraction: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  17. val featureNames: Array[String]

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  18. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  20. val improvementTolerance: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  21. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  22. val isProvideTrainingMetric: Boolean

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  23. val isUnbalance: Boolean

    Permalink
  24. val lambdaL1: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  25. val lambdaL2: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  26. val learningRate: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  27. val maxBin: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  28. val maxBinByFeature: Array[Int]

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  29. val maxDeltaStep: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  30. val maxDepth: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  31. val metric: String

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  32. val minDataInLeaf: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  33. val minGainToSplit: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  34. val minSumHessianInLeaf: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  35. val modelString: Option[String]

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  36. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  37. val negBaggingFraction: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  38. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  39. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  40. val numClass: Int

    Permalink
  41. val numIterations: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  42. val numLeaves: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  43. val numMachines: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  44. val objective: String

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  45. val parallelism: String

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  46. val posBaggingFraction: Double

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  47. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  48. def toString(): String

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams → AnyRef → Any
  49. val topK: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  50. val verbosity: Int

    Permalink
    Definition Classes
    ClassifierTrainParamsTrainParams
  51. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  52. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  53. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from TrainParams

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped