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

Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SyntheticControlEstimator
  2. Wrappable
  3. DotnetWrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. ComplexParamsWritable
  8. MLWritable
  9. SyntheticEstimatorParams
  10. HasTol
  11. HasStepSize
  12. HasMaxIter
  13. HasTimeCol
  14. HasUnitCol
  15. SyntheticEstimator
  16. SynapseMLLogging
  17. BaseDiffInDiffEstimator
  18. DiffInDiffEstimatorParams
  19. HasPostTreatmentCol
  20. HasOutcomeCol
  21. HasTreatmentCol
  22. Estimator
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
  1. Hide All
  2. Show All
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. 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
    SyntheticControlEstimator → 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. final val handleMissingOutcome: Param[String]
    Definition Classes
    SyntheticEstimatorParams
  31. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  32. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  33. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  34. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  35. 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
  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. implicit val matrixEntryEncoder: Encoder[MatrixEntry]
    Definition Classes
    SyntheticEstimator
  44. implicit val matrixOps: DMatrixOps.type
    Definition Classes
    SyntheticEstimator
  45. final val maxIter: IntParam
    Definition Classes
    HasMaxIter
  46. final val numIterNoChange: IntParam
    Definition Classes
    SyntheticEstimatorParams
  47. val outcomeCol: Param[String]
    Definition Classes
    HasOutcomeCol
  48. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  49. final val postTreatmentCol: Param[String]
    Definition Classes
    HasPostTreatmentCol
  50. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  51. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  52. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  53. final def set[T](param: Param[T], value: T): SyntheticControlEstimator.this.type
    Definition Classes
    Params
  54. def setEpsilon(value: Double): SyntheticControlEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  55. def setHandleMissingOutcome(value: String): SyntheticControlEstimator.this.type
    Definition Classes
    SyntheticEstimatorParams
  56. def setLocalSolverThreshold(value: Long): SyntheticControlEstimator.this.type

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