class SyntheticControlEstimator extends BaseDiffInDiffEstimator with SyntheticEstimator with SyntheticEstimatorParams with ComplexParamsWritable with Wrappable

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

Instance Constructors

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

Value Members

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

    Definition Classes
    SyntheticEstimatorParams
  17. final def getMaxIter: Int
    Definition Classes
    HasMaxIter
  18. def getNumIterNoChange: Int
    Definition Classes
    SyntheticEstimatorParams
  19. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  20. def getOutcomeCol: String
    Definition Classes
    HasOutcomeCol
  21. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  22. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  23. def getPostTreatmentCol: String
    Definition Classes
    HasPostTreatmentCol
  24. final def getStepSize: Double
    Definition Classes
    HasStepSize
  25. def getTimeCol: String
    Definition Classes
    HasTimeCol
  26. final def getTol: Double
    Definition Classes
    HasTol
  27. def getTreatmentCol: String
    Definition Classes
    HasTreatmentCol
  28. def getUnitCol: String
    Definition Classes
    HasUnitCol
  29. final val handleMissingOutcome: Param[String]
    Definition Classes
    SyntheticEstimatorParams
  30. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  31. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  32. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  33. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  34. 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
  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. implicit val matrixEntryEncoder: Encoder[MatrixEntry]
    Definition Classes
    SyntheticEstimator
  42. implicit val matrixOps: DMatrixOps.type
    Definition Classes
    SyntheticEstimator
  43. final val maxIter: IntParam
    Definition Classes
    HasMaxIter
  44. final val numIterNoChange: IntParam
    Definition Classes
    SyntheticEstimatorParams
  45. val outcomeCol: Param[String]
    Definition Classes
    HasOutcomeCol
  46. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  47. final val postTreatmentCol: Param[String]
    Definition Classes
    HasPostTreatmentCol
  48. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  49. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  50. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  51. final def set[T](param: Param[T], value: T): SyntheticControlEstimator.this.type
    Definition Classes
    Params
  52. def setEpsilon(value: Double): SyntheticControlEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  53. def setHandleMissingOutcome(value: String): SyntheticControlEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  54. def setLocalSolverThreshold(value: Long): SyntheticControlEstimator.this.type

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