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

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
SynapseMLLogging, 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. SynapseMLLogging
  3. ComplexParamsWritable
  4. MLWritable
  5. Wrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. ICEFeatureParams
  10. HasNumSamples
  11. HasModel
  12. HasExplainTarget
  13. CanValidateSchema
  14. Transformer
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. 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: ICECategoricalFeaturesParam
    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. val dependenceNameCol: Param[String]
    Definition Classes
    ICEFeatureParams
  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. val featureKind: String
    Definition Classes
    ICEFeatureParams
  11. val featureNameCol: Param[String]
    Definition Classes
    ICEFeatureParams
  12. implicit val formats: DefaultFormats.type
    Definition Classes
    ICEFeatureParams
  13. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. def getCategoricalFeatures: Seq[ICECategoricalFeature]
    Definition Classes
    ICEFeatureParams
  15. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  16. def getDependenceNameCol: String
    Definition Classes
    ICEFeatureParams
  17. def getFeatureNameCol: String
    Definition Classes
    ICEFeatureParams
  18. def getKind: String
    Definition Classes
    ICEFeatureParams
  19. final def getModel: Transformer
    Definition Classes
    HasModel
  20. final def getNumSamples: Int
    Definition Classes
    HasNumSamples
  21. final def getNumSamplesOpt: Option[Int]
    Definition Classes
    HasNumSamples
  22. def getNumericFeatures: Seq[ICENumericFeature]
    Definition Classes
    ICEFeatureParams
  23. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  24. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  25. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  26. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  27. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  28. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  29. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  30. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  31. val individualKind: String
    Definition Classes
    ICEFeatureParams
  32. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  33. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  34. val kind: Param[String]
    Definition Classes
    ICEFeatureParams
  35. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  36. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  37. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  38. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  39. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  40. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  41. final val model: TransformerParam
    Definition Classes
    HasModel
  42. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  43. val numericFeatures: ICENumericFeaturesParam
    Definition Classes
    ICEFeatureParams
  44. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  45. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  46. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  47. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  48. final def set[T](param: Param[T], value: T): ICETransformer.this.type
    Definition Classes
    Params
  49. def setCategoricalFeatures(values: Seq[ICECategoricalFeature]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  50. def setCategoricalFeaturesPy(values: List[HashMap[String, Any]]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  51. def setDependenceNameCol(value: String): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  52. def setFeatureNameCol(value: String): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  53. def setKind(value: String): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  54. final def setModel(v: Transformer): ICETransformer.this.type
    Definition Classes
    HasModel
  55. final def setNumSamples(value: Int): ICETransformer.this.type
    Definition Classes
    HasNumSamples
  56. def setNumericFeatures(values: Seq[ICENumericFeature]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  57. def setNumericFeaturesPy(values: List[HashMap[String, Any]]): ICETransformer.this.type
    Definition Classes
    ICEFeatureParams
  58. final def setTargetClasses(values: Array[Int]): ICETransformer.this.type
    Definition Classes
    HasExplainTarget
  59. final def setTargetClassesCol(value: String): ICETransformer.this.type
    Definition Classes
    HasExplainTarget
  60. final def setTargetCol(value: String): ICETransformer.this.type
    Definition Classes
    HasExplainTarget
  61. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  62. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  63. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  64. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  65. def transform(ds: Dataset[_]): DataFrame
    Definition Classes
    ICETransformer → Transformer
  66. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  67. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  68. def transformSchema(schema: StructType): StructType
    Definition Classes
    ICETransformer → PipelineStage
  69. val uid: String
    Definition Classes
    ICETransformer → SynapseMLLogging → Identifiable
  70. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable