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com.microsoft.azure.synapse.ml.lightgbm

LightGBMModelMethods

trait LightGBMModelMethods extends LightGBMModelParams with Logging

Contains common LightGBM model methods across all LightGBM learner types.

Linear Supertypes
Logging, LightGBMModelParams, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LightGBMClassificationModel, LightGBMRankerModel, LightGBMRegressionModel
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  2. By Inheritance
Inherited
  1. LightGBMModelMethods
  2. Logging
  3. LightGBMModelParams
  4. Wrappable
  5. DotnetWrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params
    Definition Classes
    Params
  2. abstract val uid: String
    Definition Classes
    Identifiable

Concrete Value Members

  1. final def clear(param: Param[_]): LightGBMModelMethods.this.type
    Definition Classes
    Params
  2. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  3. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  4. def explainParams(): String
    Definition Classes
    Params
  5. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  6. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  7. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  8. def getBoosterBestIteration(): Int

    Public method to get the best iteration from the booster.

    Public method to get the best iteration from the booster.

    returns

    The best iteration, if early stopping was triggered.

  9. def getBoosterNumClasses(): Int

    Public method to get the number of classes from the booster.

    Public method to get the number of classes from the booster.

    returns

    The number of classes.

  10. def getBoosterNumFeatures(): Int

    Public method to get the number of features from the booster.

    Public method to get the number of features from the booster.

    returns

    The number of features.

  11. def getBoosterNumTotalIterations(): Int

    Public method to get the total number of iterations trained.

    Public method to get the total number of iterations trained.

    returns

    The total number of iterations trained.

  12. def getBoosterNumTotalModel(): Int

    Public method to get the total number of models trained.

    Public method to get the total number of models trained. Note this may be larger than the number of iterations, since in multiclass a model is trained per class for each iteration.

    returns

    The total number of models.

  13. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. def getDenseFeatureShaps(features: Array[Double]): Array[Double]

    Public method for pyspark API to get the dense local SHAP feature importance values for an instance.

    Public method for pyspark API to get the dense local SHAP feature importance values for an instance.

    features

    The local instance or row to compute the SHAP values for.

    returns

    The local feature importance values.

  15. def getFeatureImportances(importanceType: String): Array[Double]

    Public method to get the global feature importance values.

    Public method to get the global feature importance values.

    importanceType

    split or gini

    returns

    The global feature importance values.

  16. def getFeatureShaps(features: Vector): Array[Double]

    Public method to get the vector local SHAP feature importance values for an instance.

    Public method to get the vector local SHAP feature importance values for an instance.

    features

    The local instance or row to compute the SHAP values for.

    returns

    The local feature importance values.

  17. def getLightGBMBooster: LightGBMBooster
    Definition Classes
    LightGBMModelParams
  18. def getModel: LightGBMBooster

    Alias for same method

    Alias for same method

    returns

    The LightGBM Booster.

    Definition Classes
    LightGBMModelParams
  19. def getNativeModel(): String

    Gets the native model serialized representation as a string.

  20. def getNumIterations: Int
    Definition Classes
    LightGBMModelParams
  21. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  22. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  23. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  24. def getSparseFeatureShaps(size: Int, indices: Array[Int], values: Array[Double]): Array[Double]

    Public method for pyspark API to get the sparse local SHAP feature importance values for an instance.

    Public method for pyspark API to get the sparse local SHAP feature importance values for an instance.

    returns

    The local feature importance values.

  25. def getStartIteration: Int
    Definition Classes
    LightGBMModelParams
  26. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  27. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  28. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  29. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  30. val lightGBMBooster: LightGBMBoosterParam
    Definition Classes
    LightGBMModelParams
  31. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  32. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  33. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  34. val numIterations: IntParam
    Definition Classes
    LightGBMModelParams
  35. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  36. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  37. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  38. def saveNativeModel(filename: String, overwrite: Boolean): Unit

    Saves the native model serialized representation to file.

    Saves the native model serialized representation to file.

    filename

    The name of the file to save the model to

    overwrite

    Whether to overwrite if the file already exists

  39. final def set[T](param: Param[T], value: T): LightGBMModelMethods.this.type
    Definition Classes
    Params
  40. def setLightGBMBooster(value: LightGBMBooster): LightGBMModelMethods.this.type
    Definition Classes
    LightGBMModelParams
  41. def setNumIterations(value: Int): LightGBMModelMethods.this.type
    Definition Classes
    LightGBMModelParams
  42. def setStartIteration(value: Int): LightGBMModelMethods.this.type
    Definition Classes
    LightGBMModelParams
  43. val startIteration: IntParam
    Definition Classes
    LightGBMModelParams
  44. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any