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[_]): TrainRegressor.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): Estimator[TrainedRegressorModel]

    Definition Classes

    TrainRegressor → Estimator → 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.  def dotnetAdditionalMethods: String

    Definition Classes

    DotnetWrappable

15.  def dotnetClass(): String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

16.  lazy val dotnetClassName: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

17.  lazy val dotnetClassNameString: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

18.  lazy val dotnetClassWrapperName: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

19.  lazy val dotnetCopyrightLines: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

20.  def dotnetExtraEstimatorImports: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

21.  def dotnetExtraMethods: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

22.  lazy val dotnetInternalWrapper: Boolean

    Attributes

    protected

    Definition Classes

    DotnetWrappable

23.  def dotnetMLReadWriteMethods: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

24.  lazy val dotnetNamespace: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

25.  lazy val dotnetObjectBaseClass: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

26.  def dotnetParamGetter(p: Param[_]): String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

27.  def dotnetParamGetters: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

28.  def dotnetParamSetter(p: Param[_]): String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

29.  def dotnetParamSetters: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

30.  def dotnetWrapAsTypeMethod: String

    Attributes

    protected

    Definition Classes

    DotnetWrappable

31.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

32.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

33.  def explainParam(param: Param[_]): String

    Definition Classes

    Params

34.  def explainParams(): String

    Definition Classes

    Params

35.  final def extractParamMap(): ParamMap

    Definition Classes

    Params

36.  final def extractParamMap(extra: ParamMap): ParamMap

    Definition Classes

    Params

37.  val featuresCol: Param[String]

    The name of the features column

    The name of the features column

    Definition Classes

    HasFeaturesCol

38.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

39.  def fit(dataset: Dataset[_]): TrainedRegressorModel

    Fits the regression model.

    Fits the regression model.

    dataset

    The input dataset to train.

    returns

    The trained regression model.

    Definition Classes

    TrainRegressor → Estimator

40.  def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[TrainedRegressorModel]

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

41.  def fit(dataset: Dataset[_], paramMap: ParamMap): TrainedRegressorModel

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

42.  def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): TrainedRegressorModel

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

43.  final def get[T](param: Param[T]): Option[T]

    Definition Classes

    Params

44.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

45.  final def getDefault[T](param: Param[T]): Option[T]

    Definition Classes

    Params

46.  def getFeaturesCol: String
    Definition Classes

    HasFeaturesCol

47.  def getInputCols: Array[String]
    Definition Classes

    HasInputCols

48.  def getLabelCol: String
    Definition Classes

    HasLabelCol

49.  def getModel: Estimator[_ <: Model[_]]
    Definition Classes

    AutoTrainer

50.  def getNumFeatures: Int
    Definition Classes

    AutoTrainer

51.  final def getOrDefault[T](param: Param[T]): T

    Definition Classes

    Params

52.  def getParam(paramName: String): Param[Any]

    Definition Classes

    Params

53.  def getParamInfo(p: Param[_]): ParamInfo[_]

    Definition Classes

    BaseWrappable

54.  def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]

    Attributes

    protected

    Definition Classes

    SynapseMLLogging

55.  final def hasDefault[T](param: Param[T]): Boolean

    Definition Classes

    Params

56.  def hasParam(paramName: String): Boolean

    Definition Classes

    Params

57.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

58.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    Attributes

    protected

    Definition Classes

    Logging

59.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes

    protected

    Definition Classes

    Logging

60.  val inputCols: StringArrayParam

    The names of the inputColumns

    The names of the inputColumns

    Definition Classes

    HasInputCols

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.  val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes

    HasLabelCol

66.  def log: Logger

    Attributes

    protected

    Definition Classes

    Logging

67.  def logBase(info: Map[String, String], featureName: Option[String]): Unit

    Attributes

    protected

    Definition Classes

    SynapseMLLogging

68.  def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit

    Attributes

    protected

    Definition Classes

    SynapseMLLogging

69.  def logClass(featureName: String): Unit

    Definition Classes

    SynapseMLLogging

70.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

71.  def logDebug(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

72.  def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

73.  def logError(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

74.  def logErrorBase(methodName: String, e: Exception): Unit

    Attributes

    protected

    Definition Classes

    SynapseMLLogging

75.  def logFit[T](f: ⇒ T, columns: Int): T

    Definition Classes

    SynapseMLLogging

76.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

77.  def logInfo(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

78.  def logName: String

    Attributes

    protected

    Definition Classes

    Logging

79.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

80.  def logTrace(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

81.  def logTransform[T](f: ⇒ T, columns: Int): T

    Definition Classes

    SynapseMLLogging

82.  def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T

    Definition Classes

    SynapseMLLogging

83.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

84.  def logWarning(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

85.  def makeDotnetFile(conf: CodegenConfig): Unit

    Definition Classes

    DotnetWrappable

86.  def makePyFile(conf: CodegenConfig): Unit

    Definition Classes

    PythonWrappable

87.  def makeRFile(conf: CodegenConfig): Unit

    Definition Classes

    RWrappable

88.  val model: EstimatorParam

    Model to run.

    Model to run. See doc on derived classes.

    Definition Classes

    AutoTrainer

89.  def modelDoc: String

    Doc for model to run.

    Doc for model to run.

    Definition Classes

    TrainRegressor → AutoTrainer

90.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

91.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

92.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

93.  val numFeatures: IntParam

    Number of features to hash to

    Number of features to hash to

    Definition Classes

    AutoTrainer

94.  lazy val params: Array[Param[_]]

    Definition Classes

    Params

95.  def pyAdditionalMethods: String

    Definition Classes

    PythonWrappable

96.  lazy val pyClassDoc: String

    Attributes

    protected

    Definition Classes

    PythonWrappable

97.  lazy val pyClassName: String

    Attributes

    protected

    Definition Classes

    PythonWrappable

98.  def pyExtraEstimatorImports: String

    Attributes

    protected

    Definition Classes

    PythonWrappable

99.  def pyExtraEstimatorMethods: String

    Attributes

    protected

    Definition Classes

    PythonWrappable

100.  lazy val pyInheritedClasses: Seq[String]

     Attributes

     protected

     Definition Classes

     PythonWrappable

101.  def pyInitFunc(): String

     Definition Classes

     PythonWrappable

102.  lazy val pyInternalWrapper: Boolean

     Attributes

     protected

     Definition Classes

     PythonWrappable

103.  lazy val pyObjectBaseClass: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

104.  def pyParamArg[T](p: Param[T]): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

105.  def pyParamDefault[T](p: Param[T]): Option[String]

     Attributes

     protected

     Definition Classes

     PythonWrappable

106.  def pyParamGetter(p: Param[_]): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

107.  def pyParamSetter(p: Param[_]): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

108.  def pyParamsArgs: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

109.  def pyParamsDefaults: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

110.  lazy val pyParamsDefinitions: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

111.  def pyParamsGetters: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

112.  def pyParamsSetters: String

     Attributes

     protected

     Definition Classes

     PythonWrappable

113.  def pythonClass(): String

     Attributes

     protected

     Definition Classes

     PythonWrappable

114.  def rClass(): String

     Attributes

     protected

     Definition Classes

     RWrappable

115.  def rDocString: String

     Attributes

     protected

     Definition Classes

     RWrappable

116.  def rExtraBodyLines: String

     Attributes

     protected

     Definition Classes

     RWrappable

117.  def rExtraInitLines: String

     Attributes

     protected

     Definition Classes

     RWrappable

118.  lazy val rFuncName: String

     Attributes

     protected

     Definition Classes

     RWrappable

119.  lazy val rInternalWrapper: Boolean

     Attributes

     protected

     Definition Classes

     RWrappable

120.  def rParamArg[T](p: Param[T]): String

     Attributes

     protected

     Definition Classes

     RWrappable

121.  def rParamsArgs: String

     Attributes

     protected

     Definition Classes

     RWrappable

122.  def rSetterLines: String

     Attributes

     protected

     Definition Classes

     RWrappable

123.  def save(path: String): Unit

     Definition Classes

     MLWritable

     Annotations

     @Since( "1.6.0" ) @throws( ... )

124.  final def set(paramPair: ParamPair[_]): TrainRegressor.this.type

     Attributes

     protected

     Definition Classes

     Params

125.  final def set(param: String, value: Any): TrainRegressor.this.type

     Attributes

     protected

     Definition Classes

     Params

126.  final def set[T](param: Param[T], value: T): TrainRegressor.this.type

     Definition Classes

     Params

127.  final def setDefault(paramPairs: ParamPair[_]*): TrainRegressor.this.type

     Attributes

     protected

     Definition Classes

     Params

128.  final def setDefault[T](param: Param[T], value: T): TrainRegressor.this.type

     Attributes

     protected[org.apache.spark.ml]

     Definition Classes

     Params

129.  def setFeaturesCol(value: String): TrainRegressor.this.type
     Definition Classes

     HasFeaturesCol

130.  def setInputCols(value: Array[String]): TrainRegressor.this.type
     Definition Classes

     HasInputCols

131.  def setLabelCol(value: String): TrainRegressor.this.type
     Definition Classes

     HasLabelCol

132.  def setModel(value: Estimator[_ <: Model[_]]): TrainRegressor.this.type
     Definition Classes

     AutoTrainer

133.  def setNumFeatures(value: Int): TrainRegressor.this.type
     Definition Classes

     AutoTrainer

134.  final def synchronized[T0](arg0: ⇒ T0): T0

     Definition Classes

     AnyRef

135.  val thisStage: Params

     Attributes

     protected

     Definition Classes

     BaseWrappable

136.  def toString(): String

     Definition Classes

     Identifiable → AnyRef → Any

137.  def transformSchema(schema: StructType): StructType

     Definition Classes

     TrainRegressor → PipelineStage

     Annotations

     @DeveloperApi()

138.  def transformSchema(schema: StructType, logging: Boolean): StructType

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

139.  val uid: String

     Definition Classes

     TrainRegressor → SynapseMLLogging → Identifiable

140.  final def wait(): Unit

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

141.  final def wait(arg0: Long, arg1: Int): Unit

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

142.  final def wait(arg0: Long): Unit

     Definition Classes

     AnyRef

     Annotations

     @throws( ... ) @native()

143.  def write: MLWriter

     Definition Classes

     ComplexParamsWritable → MLWritable