class DiffInDiffEstimator extends BaseDiffInDiffEstimator with ComplexParamsWritable with Wrappable with SynapseMLLogging

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Inherited
  1. DiffInDiffEstimator
  2. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. ComplexParamsWritable
  8. MLWritable
  9. BaseDiffInDiffEstimator
  10. DiffInDiffEstimatorParams
  11. HasPostTreatmentCol
  12. HasOutcomeCol
  13. HasTreatmentCol
  14. Estimator
  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 DiffInDiffEstimator()
  2. new DiffInDiffEstimator(uid: String)

Value Members

  1. final def clear(param: Param[_]): DiffInDiffEstimator.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Estimator[DiffInDiffModel]
    Definition Classes
    BaseDiffInDiffEstimator → Estimator → PipelineStage → Params
  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. def fit(dataset: Dataset[_]): DiffInDiffModel
    Definition Classes
    DiffInDiffEstimator → Estimator
  8. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[DiffInDiffModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  9. def fit(dataset: Dataset[_], paramMap: ParamMap): DiffInDiffModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DiffInDiffModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  14. def getOutcomeCol: String
    Definition Classes
    HasOutcomeCol
  15. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  16. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  17. def getPostTreatmentCol: String
    Definition Classes
    HasPostTreatmentCol
  18. def getTreatmentCol: String
    Definition Classes
    HasTreatmentCol
  19. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  20. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  21. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  22. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  23. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  24. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  25. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  26. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  27. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  28. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  29. val outcomeCol: Param[String]
    Definition Classes
    HasOutcomeCol
  30. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  31. final val postTreatmentCol: Param[String]
    Definition Classes
    HasPostTreatmentCol
  32. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  33. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  34. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  35. final def set[T](param: Param[T], value: T): DiffInDiffEstimator.this.type
    Definition Classes
    Params
  36. def setOutcomeCol(value: String): DiffInDiffEstimator.this.type

    Set name of the column which will be used as outcome

    Set name of the column which will be used as outcome

    Definition Classes
    HasOutcomeCol
  37. def setPostTreatmentCol(value: String): DiffInDiffEstimator.this.type

    Set name of the column which tells whether the outcome is measured post treatment.

    Set name of the column which tells whether the outcome is measured post treatment.

    Definition Classes
    HasPostTreatmentCol
  38. def setTreatmentCol(value: String): DiffInDiffEstimator.this.type

    Set name of the column which will be used as treatment

    Set name of the column which will be used as treatment

    Definition Classes
    HasTreatmentCol
  39. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  40. def transformSchema(schema: StructType): StructType
    Definition Classes
    BaseDiffInDiffEstimator → PipelineStage
  41. val treatmentCol: Param[String]
    Definition Classes
    HasTreatmentCol
  42. val uid: String
    Definition Classes
    DiffInDiffEstimatorSynapseMLLoggingBaseDiffInDiffEstimator → Identifiable
  43. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable