class ICETransformer extends Transformer with HasExplainTarget with HasModel with ICEFeatureParams with Wrappable with ComplexParamsWritable

ICETransformer displays the model dependence on specified features with the given dataframe as background dataset. It supports 2 types of plots: individual - dependence per instance and average - across all the samples in the dataset. Note: This transformer only supports one-way dependence plot.

Annotations
@Experimental()
Linear Supertypes
ComplexParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, ICEFeatureParams, HasNumSamples, HasModel, HasExplainTarget, CanValidateSchema, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ICETransformer
  2. ComplexParamsWritable
  3. MLWritable
  4. Wrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. ICEFeatureParams
  9. HasNumSamples
  10. HasModel
  11. HasExplainTarget
  12. CanValidateSchema
  13. Transformer
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ICETransformer()
  2. new ICETransformer(uid: String)

Value Members

  1. val averageKind: String
    Definition Classes
    ICEFeatureParams
  2. val categoricalFeatures: TypedArrayParam[ICECategoricalFeature]
    Definition Classes
    ICEFeatureParams
  3. final def clear(param: Param[_]): ICETransformer.this.type
    Definition Classes
    Params
  4. def copy(extra: ParamMap): Transformer
    Definition Classes
    ICETransformer → Transformer → PipelineStage → Params
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getCategoricalFeatures: Seq[ICECategoricalFeature]
    Definition Classes
    ICEFeatureParams
  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getKind: String
    Definition Classes
    ICEFeatureParams
  13. final def getModel: Transformer
    Definition Classes
    HasModel
  14. final def getNumSamples: Int
    Definition Classes
    HasNumSamples
  15. final def getNumSamplesOpt: Option[Int]
    Definition Classes
    HasNumSamples
  16. def getNumericFeatures: Seq[ICENumericFeature]
    Definition Classes
    ICEFeatureParams
  17. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  18. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  19. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  20. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  21. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  22. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  23. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  24. val individualKind: String
    Definition Classes
    ICEFeatureParams
  25. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  26. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  27. val kind: Param[String]
    Definition Classes
    ICEFeatureParams
  28. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  29. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  30. final val model: TransformerParam
    Definition Classes
    HasModel
  31. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  32. val numericFeatures: TypedArrayParam[ICENumericFeature]
    Definition Classes
    ICEFeatureParams
  33. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  34. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  35. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  36. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  37. final def set[T](param: Param[T], value: T): ICETransformer.this.type
    Definition Classes
    Params
  38. def setCategoricalFeatures(values: Seq[ICECategoricalFeature]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  39. def setCategoricalFeaturesPy(values: List[HashMap[String, Any]]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  40. def setKind(value: String): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  41. final def setModel(v: Transformer): ICETransformer.this.type
    Definition Classes
    HasModel
  42. final def setNumSamples(value: Int): ICETransformer.this.type
    Definition Classes
    HasNumSamples
  43. def setNumericFeatures(values: Seq[ICENumericFeature]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  44. def setNumericFeaturesPy(values: List[HashMap[String, Any]]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  45. final def setTargetClasses(values: Array[Int]): ICETransformer.this.type
    Definition Classes
    HasExplainTarget
  46. final def setTargetClassesCol(value: String): ICETransformer.this.type
    Definition Classes
    HasExplainTarget
  47. final def setTargetCol(value: String): ICETransformer.this.type
    Definition Classes
    HasExplainTarget
  48. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  49. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  50. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  51. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  52. def transform(ds: Dataset[_]): DataFrame
    Definition Classes
    ICETransformer → Transformer
  53. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  54. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  55. def transformSchema(schema: StructType): StructType
    Definition Classes
    ICETransformer → PipelineStage
  56. val uid: String
    Definition Classes
    ICETransformer → Identifiable
  57. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable