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