Class

com.microsoft.ml.spark.lightgbm

TrainParams

Related Doc: package lightgbm

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abstract class TrainParams extends Serializable

Defines the common Booster parameters passed to the LightGBM learners.

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Serializable, Serializable, AnyRef, Any
Known Subclasses
ClassifierTrainParams, RankerTrainParams, RegressorTrainParams
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Instance Constructors

  1. new TrainParams()

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Abstract Value Members

  1. abstract def baggingFraction: Double

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  2. abstract def baggingFreq: Int

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  3. abstract def baggingSeed: Int

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  4. abstract def boostingType: String

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  5. abstract def categoricalFeatures: Array[Int]

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  6. abstract def earlyStoppingRound: Int

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  7. abstract def featureFraction: Double

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  8. abstract def isProvideTrainingMetric: Boolean

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  9. abstract def lambdaL1: Double

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  10. abstract def lambdaL2: Double

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  11. abstract def learningRate: Double

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  12. abstract def maxBin: Int

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  13. abstract def maxDepth: Int

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  14. abstract def metric: String

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  15. abstract def minSumHessianInLeaf: Double

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  16. abstract def modelString: Option[String]

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  17. abstract def numIterations: Int

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  18. abstract def numLeaves: Int

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  19. abstract def numMachines: Int

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  20. abstract def objective: String

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  21. abstract def parallelism: String

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  22. abstract def verbosity: Int

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Concrete Value Members

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  8. def finalize(): Unit

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): 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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    TrainParams → AnyRef → Any

  17. final def wait(): Unit

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

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

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