class SyntheticDiffInDiffEstimator extends BaseDiffInDiffEstimator with SyntheticEstimator with SyntheticDiffInDiffEstimatorParams with ComplexParamsWritable with Wrappable

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Inherited
  1. SyntheticDiffInDiffEstimator
  2. Wrappable
  3. DotnetWrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. ComplexParamsWritable
  8. MLWritable
  9. SyntheticDiffInDiffEstimatorParams
  10. SyntheticEstimatorParams
  11. HasTol
  12. HasStepSize
  13. HasMaxIter
  14. HasTimeCol
  15. HasUnitCol
  16. SyntheticEstimator
  17. SynapseMLLogging
  18. BaseDiffInDiffEstimator
  19. DiffInDiffEstimatorParams
  20. HasPostTreatmentCol
  21. HasOutcomeCol
  22. HasTreatmentCol
  23. Estimator
  24. PipelineStage
  25. Logging
  26. Params
  27. Serializable
  28. Serializable
  29. Identifiable
  30. AnyRef
  31. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Estimator[DiffInDiffModel]
    Definition Classes
    BaseDiffInDiffEstimator → Estimator → PipelineStage → Params
  3. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  4. final val epsilon: DoubleParam
    Definition Classes
    SyntheticEstimatorParams
  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. def fit(dataset: Dataset[_]): DiffInDiffModel
    Definition Classes
    SyntheticDiffInDiffEstimator → Estimator
  10. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[DiffInDiffModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  11. def fit(dataset: Dataset[_], paramMap: ParamMap): DiffInDiffModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  12. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DiffInDiffModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  13. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  15. def getEpsilon: Double
    Definition Classes
    SyntheticEstimatorParams
  16. def getHandleMissingOutcome: String
    Definition Classes
    SyntheticEstimatorParams
  17. def getLocalSolverThreshold: Long

    Definition Classes
    SyntheticEstimatorParams
  18. final def getMaxIter: Int
    Definition Classes
    HasMaxIter
  19. def getNumIterNoChange: Int
    Definition Classes
    SyntheticEstimatorParams
  20. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  21. def getOutcomeCol: String
    Definition Classes
    HasOutcomeCol
  22. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  23. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  24. def getPostTreatmentCol: String
    Definition Classes
    HasPostTreatmentCol
  25. final def getStepSize: Double
    Definition Classes
    HasStepSize
  26. def getTimeCol: String
    Definition Classes
    HasTimeCol
  27. final def getTol: Double
    Definition Classes
    HasTol
  28. def getTreatmentCol: String
    Definition Classes
    HasTreatmentCol
  29. def getUnitCol: String
    Definition Classes
    HasUnitCol
  30. def getZeta: Double
    Definition Classes
    SyntheticDiffInDiffEstimatorParams
  31. final val handleMissingOutcome: Param[String]
    Definition Classes
    SyntheticEstimatorParams
  32. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  33. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  34. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  35. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  36. final val localSolverThreshold: LongParam

    Param for deciding whether to collect part of data on driver node and solve the constrained least square problems locally on driver.

    Param for deciding whether to collect part of data on driver node and solve the constrained least square problems locally on driver.

    Definition Classes
    SyntheticEstimatorParams
  37. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  38. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  39. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  40. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  41. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  42. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  43. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  44. implicit val matrixEntryEncoder: Encoder[MatrixEntry]
    Definition Classes
    SyntheticEstimator
  45. implicit val matrixOps: DMatrixOps.type
    Definition Classes
    SyntheticEstimator
  46. final val maxIter: IntParam
    Definition Classes
    HasMaxIter
  47. final val numIterNoChange: IntParam
    Definition Classes
    SyntheticEstimatorParams
  48. val outcomeCol: Param[String]
    Definition Classes
    HasOutcomeCol
  49. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  50. final val postTreatmentCol: Param[String]
    Definition Classes
    HasPostTreatmentCol
  51. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  52. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  53. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  54. final def set[T](param: Param[T], value: T): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    Params
  55. def setEpsilon(value: Double): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  56. def setHandleMissingOutcome(value: String): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  57. def setLocalSolverThreshold(value: Long): SyntheticDiffInDiffEstimator.this.type

    Definition Classes
    SyntheticEstimatorParams
  58. def setMaxIter(value: Int): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  59. def setNumIterNoChange(value: Int): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  60. def setOutcomeCol(value: String): SyntheticDiffInDiffEstimator.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
  61. def setPostTreatmentCol(value: String): SyntheticDiffInDiffEstimator.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
  62. def setStepSize(value: Double): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  63. def setTimeCol(value: String): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    HasTimeCol
  64. def setTol(value: Double): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  65. def setTreatmentCol(value: String): SyntheticDiffInDiffEstimator.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
  66. def setUnitCol(value: String): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    HasUnitCol
  67. def setZeta(value: Double): SyntheticDiffInDiffEstimator.this.type
    Definition Classes
    SyntheticDiffInDiffEstimatorParams
  68. val stepSize: DoubleParam
    Definition Classes
    HasStepSize
  69. final val timeCol: Param[String]
    Definition Classes
    HasTimeCol
  70. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  71. final val tol: DoubleParam
    Definition Classes
    HasTol
  72. def transformSchema(schema: StructType): StructType
    Definition Classes
    BaseDiffInDiffEstimator → PipelineStage
  73. val treatmentCol: Param[String]
    Definition Classes
    HasTreatmentCol
  74. val uid: String
    Definition Classes
    SyntheticDiffInDiffEstimator → SynapseMLLogging → BaseDiffInDiffEstimator → Identifiable
  75. final val unitCol: Param[String]
    Definition Classes
    HasUnitCol
  76. implicit val vectorEntryEncoder: Encoder[VectorEntry]
    Definition Classes
    SyntheticEstimator
  77. implicit val vectorOps: DVectorOps.type
    Definition Classes
    SyntheticEstimator
  78. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable
  79. final val zeta: DoubleParam
    Definition Classes
    SyntheticDiffInDiffEstimatorParams