class OrthoForestDMLModel extends Model[OrthoForestDMLModel] with OrthoForestDMLParams with ComplexParamsWritable with Wrappable with SynapseMLLogging

Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. OrthoForestDMLModel
  2. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. ComplexParamsWritable
  8. MLWritable
  9. OrthoForestDMLParams
  10. HasOutputCol
  11. HasMinSampleLeaf
  12. HasMaxDepth
  13. HasNumTrees
  14. DoubleMLParams
  15. HasParallelismInjected
  16. HasParallelism
  17. HasWeightCol
  18. HasMaxIter
  19. HasFeaturesCol
  20. HasOutcomeCol
  21. HasTreatmentCol
  22. Model
  23. Transformer
  24. PipelineStage
  25. Logging
  26. Params
  27. Serializable
  28. Serializable
  29. Identifiable
  30. AnyRef
  31. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new OrthoForestDMLModel()
  2. new OrthoForestDMLModel(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. def awaitFutures[T](futures: Array[Future[T]]): Seq[T]
    Attributes
    protected
    Definition Classes
    HasParallelismInjected
  7. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  8. final def clear(param: Param[_]): OrthoForestDMLModel.this.type
    Definition Classes
    Params
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. val confidenceLevel: DoubleParam
    Definition Classes
    DoubleMLParams
  12. val confounderVecCol: Param[String]
    Definition Classes
    OrthoForestDMLParams
  13. def copy(extra: ParamMap): OrthoForestDMLModel
    Definition Classes
    OrthoForestDMLModel → Model → Transformer → PipelineStage → Params
  14. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  15. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  16. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  17. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  19. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  20. def explainParams(): String
    Definition Classes
    Params
  21. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  22. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  23. val featuresCol: Param[String]

    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  24. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  25. val forest: TransformerArrayParam
  26. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  27. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  28. def getConfidenceLevel: Double
    Definition Classes
    DoubleMLParams
  29. def getConfounderVecCol: String
    Definition Classes
    OrthoForestDMLParams
  30. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  31. def getExecutionContextProxy: ExecutionContext
    Definition Classes
    HasParallelismInjected
  32. def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol
  33. def getHeterogeneityVecCol: String
    Definition Classes
    OrthoForestDMLParams
  34. def getMaxDepth: Int
    Definition Classes
    HasMaxDepth
  35. final def getMaxIter: Int
    Definition Classes
    HasMaxIter
  36. def getMinSamplesLeaf: Int
    Definition Classes
    HasMinSampleLeaf
  37. def getNumTrees: Int
    Definition Classes
    HasNumTrees
  38. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  39. def getOutcomeCol: String
    Definition Classes
    HasOutcomeCol
  40. def getOutcomeModel: Estimator[_ <: Model[_]]
    Definition Classes
    DoubleMLParams
  41. def getOutcomeResidualCol: String
    Definition Classes
    OrthoForestDMLParams
  42. def getOutputCol: String

    Definition Classes
    HasOutputCol
  43. def getOutputHighCol: String
    Definition Classes
    OrthoForestDMLParams
  44. def getOutputLowCol: String
    Definition Classes
    OrthoForestDMLParams
  45. def getParallelism: Int
    Definition Classes
    HasParallelism
  46. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  47. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  48. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  49. def getSampleSplitRatio: Array[Double]
    Definition Classes
    DoubleMLParams
  50. def getTreatmentCol: String
    Definition Classes
    HasTreatmentCol
  51. def getTreatmentModel: Estimator[_ <: Model[_]]
    Definition Classes
    DoubleMLParams
  52. def getTreatmentResidualCol: String
    Definition Classes
    OrthoForestDMLParams
  53. def getWeightCol: String

    Definition Classes
    HasWeightCol
  54. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  55. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  56. def hasParent: Boolean
    Definition Classes
    Model
  57. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  58. val heterogeneityVecCol: Param[String]
    Definition Classes
    OrthoForestDMLParams
  59. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  60. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  62. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  63. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  64. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  65. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  66. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  67. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  68. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  69. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  73. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  74. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  75. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  78. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  81. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  82. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  83. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  85. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  86. val maxDepth: IntParam
    Definition Classes
    HasMaxDepth
  87. final val maxIter: IntParam
    Definition Classes
    HasMaxIter
  88. val minSamplesLeaf: IntParam
    Definition Classes
    HasMinSampleLeaf
  89. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  90. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  91. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  92. val numTrees: IntParam
    Definition Classes
    HasNumTrees
  93. val outcomeCol: Param[String]
    Definition Classes
    HasOutcomeCol
  94. val outcomeModel: EstimatorParam
    Definition Classes
    DoubleMLParams
  95. val outcomeResidualCol: Param[String]
    Definition Classes
    OrthoForestDMLParams
  96. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  97. val outputHighCol: Param[String]
    Definition Classes
    OrthoForestDMLParams
  98. val outputLowCol: Param[String]
    Definition Classes
    OrthoForestDMLParams
  99. val parallelism: IntParam
    Definition Classes
    HasParallelism
  100. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  101. var parent: Estimator[OrthoForestDMLModel]
    Definition Classes
    Model
  102. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  103. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  104. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  105. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  106. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  107. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  108. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  109. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    OrthoForestDMLModel → PythonWrappable
  110. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  111. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  112. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  113. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  114. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  115. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  116. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  117. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  118. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  119. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  120. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  121. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  122. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  123. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  124. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  125. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  126. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  127. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  128. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  129. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  130. val sampleSplitRatio: DoubleArrayParam
    Definition Classes
    DoubleMLParams
  131. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  132. final def set(paramPair: ParamPair[_]): OrthoForestDMLModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  133. final def set(param: String, value: Any): OrthoForestDMLModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  134. final def set[T](param: Param[T], value: T): OrthoForestDMLModel.this.type
    Definition Classes
    Params
  135. def setConfidenceLevel(value: Double): OrthoForestDMLModel.this.type

    Set the higher bound percentile of ATE distribution.

    Set the higher bound percentile of ATE distribution. Default is 0.975. lower bound value will be automatically calculated as 100*(1-confidenceLevel) That means by default we compute 95% confidence interval, it is [2.5%, 97.5%] percentile of ATE distribution

    Definition Classes
    DoubleMLParams
  136. def setConfounderVecCol(value: String): OrthoForestDMLModel.this.type

    Set confounder vector column

    Set confounder vector column

    Definition Classes
    OrthoForestDMLParams
  137. final def setDefault(paramPairs: ParamPair[_]*): OrthoForestDMLModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  138. final def setDefault[T](param: Param[T], value: T): OrthoForestDMLModel.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  139. def setFeaturesCol(value: String): OrthoForestDMLModel.this.type

    Definition Classes
    HasFeaturesCol
  140. def setForest(v: Array[DecisionTreeRegressionModel]): OrthoForestDMLModel.this.type
  141. def setHeterogeneityVecCol(value: String): OrthoForestDMLModel.this.type

    Set heterogeneity vector column

    Set heterogeneity vector column

    Definition Classes
    OrthoForestDMLParams
  142. def setMaxDepth(value: Int): OrthoForestDMLModel.this.type

    Set max depth of the trees to be used in the forest

    Set max depth of the trees to be used in the forest

    Definition Classes
    HasMaxDepth
  143. def setMaxIter(value: Int): OrthoForestDMLModel.this.type

    Set the maximum number of confidence interval bootstrapping iterations.

    Set the maximum number of confidence interval bootstrapping iterations. Default is 1, which means it does not calculate confidence interval. To get Ci values please set a meaningful value

    Definition Classes
    DoubleMLParams
  144. def setMinSamplesLeaf(value: Int): OrthoForestDMLModel.this.type

    Set number of samples in the leaf node of trees to be used in the forest

    Set number of samples in the leaf node of trees to be used in the forest

    Definition Classes
    HasMinSampleLeaf
  145. def setNumTrees(value: Int): OrthoForestDMLModel.this.type

    Set number of trees to be used in the forest

    Set number of trees to be used in the forest

    Definition Classes
    HasNumTrees
  146. def setOutcomeCol(value: String): OrthoForestDMLModel.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
  147. def setOutcomeModel(value: Estimator[_ <: Model[_]]): OrthoForestDMLModel.this.type

    Set outcome model, it could be any model derived from 'org.apache.spark.ml.regression.Regressor' or 'org.apache.spark.ml.classification.ProbabilisticClassifier'

    Set outcome model, it could be any model derived from 'org.apache.spark.ml.regression.Regressor' or 'org.apache.spark.ml.classification.ProbabilisticClassifier'

    Definition Classes
    DoubleMLParams
  148. def setOutcomeResidualCol(value: String): OrthoForestDMLModel.this.type

    Set outcome residual column

    Set outcome residual column

    Definition Classes
    OrthoForestDMLParams
  149. def setOutputCol(value: String): OrthoForestDMLModel.this.type

    Definition Classes
    HasOutputCol
  150. def setOutputHighCol(value: String): OrthoForestDMLModel.this.type

    Set output column for effect upper bound

    Set output column for effect upper bound

    Definition Classes
    OrthoForestDMLParams
  151. def setOutputLowCol(value: String): OrthoForestDMLModel.this.type

    Set output column for effect lower bound

    Set output column for effect lower bound

    Definition Classes
    OrthoForestDMLParams
  152. def setParallelism(value: Int): OrthoForestDMLModel.this.type
    Definition Classes
    DoubleMLParams
  153. def setParent(parent: Estimator[OrthoForestDMLModel]): OrthoForestDMLModel
    Definition Classes
    Model
  154. def setSampleSplitRatio(value: Array[Double]): OrthoForestDMLModel.this.type

    Set the sample split ratio, default is Array(0.5, 0.5)

    Set the sample split ratio, default is Array(0.5, 0.5)

    Definition Classes
    DoubleMLParams
  155. def setTreatmentCol(value: String): OrthoForestDMLModel.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
  156. def setTreatmentModel(value: Estimator[_ <: Model[_]]): OrthoForestDMLModel.this.type

    Set treatment model, it could be any model derived from 'org.apache.spark.ml.regression.Regressor' or 'org.apache.spark.ml.classification.ProbabilisticClassifier'

    Set treatment model, it could be any model derived from 'org.apache.spark.ml.regression.Regressor' or 'org.apache.spark.ml.classification.ProbabilisticClassifier'

    Definition Classes
    DoubleMLParams
  157. def setTreatmentResidualCol(value: String): OrthoForestDMLModel.this.type

    Set treatment residual column

    Set treatment residual column

    Definition Classes
    OrthoForestDMLParams
  158. def setWeightCol(value: String): OrthoForestDMLModel.this.type

    Definition Classes
    HasWeightCol
  159. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  160. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  161. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  162. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    OrthoForestDMLModel → Transformer
  163. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  164. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  165. def transformSchema(schema: StructType): StructType
    Definition Classes
    OrthoForestDMLModel → PipelineStage
  166. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  167. val treatmentCol: Param[String]
    Definition Classes
    HasTreatmentCol
  168. val treatmentModel: EstimatorParam
    Definition Classes
    DoubleMLParams
  169. val treatmentResidualCol: Param[String]
    Definition Classes
    OrthoForestDMLParams
  170. val uid: String
    Definition Classes
    OrthoForestDMLModel → SynapseMLLogging → Identifiable
  171. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  172. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  173. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  174. val weightCol: Param[String]

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  175. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from OrthoForestDMLParams

Inherited from HasOutputCol

Inherited from HasMinSampleLeaf

Inherited from HasMaxDepth

Inherited from HasNumTrees

Inherited from DoubleMLParams

Inherited from HasParallelismInjected

Inherited from HasParallelism

Inherited from HasWeightCol

Inherited from HasMaxIter

Inherited from HasFeaturesCol

Inherited from HasOutcomeCol

Inherited from HasTreatmentCol

Inherited from Model[OrthoForestDMLModel]

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