class OrthoForestVariableTransformer extends Transformer with HasOutputCol with DefaultParamsWritable with Wrappable with SynapseMLLogging

Transform the outcome residual and treatment residual. \E_n\left[ \left(\tilde{Y} - \theta(X) \cdot \tilde{T}\right)2 \right] = \E_n\left[ \tilde{T}2 \left(\frac{\tilde{Y}}{\tilde{T}} - \theta(X)\right)^2 \right] The latter corresponds to a weighted regression problem, where the target label is :math:\tilde{Y}/\tilde{T}, the features are X and the weight of each sample is :math:\tilde{T}^2. Any regressor that accepts sample weights can be used as a final model, e.g.:

Linear Supertypes
SynapseMLLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, DefaultParamsWritable, MLWritable, HasOutputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. OrthoForestVariableTransformer
  2. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. DefaultParamsWritable
  8. MLWritable
  9. HasOutputCol
  10. Transformer
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): OrthoForestVariableTransformer.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): OrthoForestVariableTransformer
    Definition Classes
    OrthoForestVariableTransformer → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  17. def explainParams(): String
    Definition Classes
    Params
  18. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  19. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  20. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  22. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  23. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  24. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  25. final def getOutcomeResidualCol: String
  26. def getOutputCol: String

    Definition Classes
    HasOutputCol
  27. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  28. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  29. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  30. final def getTreatmentResidualCol: String
  31. final def getWeightsCol: String
  32. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  33. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  34. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  35. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  37. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  38. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  39. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  40. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  41. def log: Logger
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    protected
    Definition Classes
    Logging
  42. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  43. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  44. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  45. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
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    Definition Classes
    Logging
  46. def logDebug(msg: ⇒ String): Unit
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    protected
    Definition Classes
    Logging
  47. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  50. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  51. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
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    Definition Classes
    Logging
  52. def logInfo(msg: ⇒ String): Unit
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    Definition Classes
    Logging
  53. def logName: String
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    Definition Classes
    Logging
  54. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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    Logging
  55. def logTrace(msg: ⇒ String): Unit
    Attributes
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    Definition Classes
    Logging
  56. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  57. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  58. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
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    Definition Classes
    Logging
  59. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  61. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  62. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  63. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  64. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  65. val outcomeResidualCol: Param[String]
  66. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  67. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  68. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  69. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  70. lazy val pyClassName: String
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    PythonWrappable
  71. def pyExtraEstimatorImports: String
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    Definition Classes
    PythonWrappable
  72. def pyExtraEstimatorMethods: String
    Attributes
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    Definition Classes
    PythonWrappable
  73. lazy val pyInheritedClasses: Seq[String]
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    Definition Classes
    PythonWrappable
  74. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  75. lazy val pyInternalWrapper: Boolean
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    Definition Classes
    PythonWrappable
  76. lazy val pyObjectBaseClass: String
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    protected
    Definition Classes
    PythonWrappable
  77. def pyParamArg[T](p: Param[T]): String
    Attributes
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    Definition Classes
    PythonWrappable
  78. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
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    Definition Classes
    PythonWrappable
  79. def pyParamGetter(p: Param[_]): String
    Attributes
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    Definition Classes
    PythonWrappable
  80. def pyParamSetter(p: Param[_]): String
    Attributes
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    Definition Classes
    PythonWrappable
  81. def pyParamsArgs: String
    Attributes
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    Definition Classes
    PythonWrappable
  82. def pyParamsDefaults: String
    Attributes
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    Definition Classes
    PythonWrappable
  83. lazy val pyParamsDefinitions: String
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    Definition Classes
    PythonWrappable
  84. def pyParamsGetters: String
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    protected
    Definition Classes
    PythonWrappable
  85. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def rClass(): String
    Attributes
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    Definition Classes
    RWrappable
  88. def rDocString: String
    Attributes
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    RWrappable
  89. def rExtraBodyLines: String
    Attributes
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    RWrappable
  90. def rExtraInitLines: String
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    RWrappable
  91. lazy val rFuncName: String
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    RWrappable
  92. lazy val rInternalWrapper: Boolean
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    RWrappable
  93. def rParamArg[T](p: Param[T]): String
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    Definition Classes
    RWrappable
  94. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  95. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  97. final def set(paramPair: ParamPair[_]): OrthoForestVariableTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  98. final def set(param: String, value: Any): OrthoForestVariableTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  99. final def set[T](param: Param[T], value: T): OrthoForestVariableTransformer.this.type
    Definition Classes
    Params
  100. final def setDefault(paramPairs: ParamPair[_]*): OrthoForestVariableTransformer.this.type
    Attributes
    protected
    Definition Classes
    Params
  101. final def setDefault[T](param: Param[T], value: T): OrthoForestVariableTransformer.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  102. def setOutcomeResidualCol(value: String): OrthoForestVariableTransformer.this.type
  103. def setOutputCol(value: String): OrthoForestVariableTransformer.this.type

    Definition Classes
    HasOutputCol
  104. def setTreatmentResidualCol(value: String): OrthoForestVariableTransformer.this.type
  105. def setWeightsCol(value: String): OrthoForestVariableTransformer.this.type
  106. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  107. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  108. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  109. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    OrthoForestVariableTransformer → Transformer
  110. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  111. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  112. def transformSchema(schema: StructType): StructType
    Definition Classes
    OrthoForestVariableTransformer → PipelineStage
  113. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  114. val treatmentResidualCol: Param[String]
  115. val uid: String
    Definition Classes
    OrthoForestVariableTransformer → SynapseMLLogging → Identifiable
  116. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  117. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  118. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  119. val weightsCol: Param[String]
  120. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputCol

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped