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()

Abstract Value Members

  1. abstract def baggingFraction: Double
  2. abstract def baggingFreq: Int
  3. abstract def baggingSeed: Int
  4. abstract def binSampleCount: Int
  5. abstract def boostingType: String
  6. abstract def categoricalFeatures: Array[Int]
  7. abstract def dartModeParams: DartModeParams
  8. abstract def delegate: Option[LightGBMDelegate]
  9. abstract def earlyStoppingRound: Int
  10. abstract def executionParams: ExecutionParams
  11. abstract def featureFraction: Double
  12. abstract def featureNames: Array[String]
  13. abstract def improvementTolerance: Double
  14. abstract def isProvideTrainingMetric: Boolean
  15. abstract def lambdaL1: Double
  16. abstract def lambdaL2: Double
  17. abstract def learningRate: Double
  18. abstract def maxBin: Int
  19. abstract def maxBinByFeature: Array[Int]
  20. abstract def maxDeltaStep: Double
  21. abstract def maxDepth: Int
  22. abstract def metric: String
  23. abstract def minDataInLeaf: Int
  24. abstract def minGainToSplit: Double
  25. abstract def minSumHessianInLeaf: Double
  26. abstract def modelString: Option[String]
  27. abstract def negBaggingFraction: Double
  28. abstract def numIterations: Int
  29. abstract def numLeaves: Int
  30. abstract def numMachines: Int
  31. abstract def objectiveParams: ObjectiveParams
  32. abstract def parallelism: String
  33. abstract def posBaggingFraction: Double
  34. abstract def topK: Int
  35. abstract def verbosity: Int

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  16. def toString(): String
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