Class

com.salesforce.op.stages.impl.regression

OpGBTRegressor

Related Doc: package regression

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class OpGBTRegressor extends OpPredictorWrapper[GBTRegressor, GBTRegressionModel] with OpGBTRegressorParams

Wrapper for spark GBT Regressor org.apache.spark.ml.regression.GBTRegressor

Linear Supertypes
OpGBTRegressorParams, GBTRegressorParams, TreeRegressorParams, GBTParams, HasStepSize, HasMaxIter, TreeEnsembleParams, DecisionTreeParams, HasSeed, HasCheckpointInterval, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, OpPredictorWrapper[GBTRegressor, GBTRegressionModel], SparkWrapperParams[GBTRegressor], OpPipelineStage2[RealNN, OPVector, Prediction], HasIn2, HasIn1, OpPipelineStage[Prediction], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, Estimator[OpPredictorWrapperModel[GBTRegressionModel]], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. OpGBTRegressor
  2. OpGBTRegressorParams
  3. GBTRegressorParams
  4. TreeRegressorParams
  5. GBTParams
  6. HasStepSize
  7. HasMaxIter
  8. TreeEnsembleParams
  9. DecisionTreeParams
  10. HasSeed
  11. HasCheckpointInterval
  12. PredictorParams
  13. HasPredictionCol
  14. HasFeaturesCol
  15. HasLabelCol
  16. OpPredictorWrapper
  17. SparkWrapperParams
  18. OpPipelineStage2
  19. HasIn2
  20. HasIn1
  21. OpPipelineStage
  22. OpPipelineStageBase
  23. MLWritable
  24. OpPipelineStageParams
  25. InputParams
  26. Estimator
  27. PipelineStage
  28. Logging
  29. Params
  30. Serializable
  31. Serializable
  32. Identifiable
  33. AnyRef
  34. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new OpGBTRegressor(uid: String = UID[OpGBTRegressor])

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    uid

    stage uid

Type Members

  1. final type InputFeatures = (FeatureLike[RealNN], FeatureLike[OPVector])

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    Input Features type

    Input Features type

    Definition Classes
    OpPipelineStage2OpPipelineStageInputParams
  2. final type OutputFeatures = FeatureLike[Prediction]

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    Definition Classes
    OpPipelineStageOpPipelineStageBase

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. final val cacheNodeIds: BooleanParam

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    Definition Classes
    DecisionTreeParams
  7. final def checkInputLength(features: Array[_]): Boolean

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    Checks the input length

    Checks the input length

    features

    input features

    returns

    true is input size as expected, false otherwise

    Definition Classes
    OpPipelineStage2InputParams
  8. def checkSerializable: Try[Unit]

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    Check if the stage is serializable

    Check if the stage is serializable

    returns

    Failure if not serializable

    Definition Classes
    OpPipelineStageBase
  9. final val checkpointInterval: IntParam

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    Definition Classes
    HasCheckpointInterval
  10. final def clear(param: Param[_]): OpGBTRegressor.this.type

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    Definition Classes
    Params
  11. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. final def copy(extra: ParamMap): OpGBTRegressor.this.type

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    This method is used to make a copy of the instance with new parameters in several methods in spark internals Default will find the constructor and make a copy for any class (AS LONG AS ALL CONSTRUCTOR PARAMS ARE VALS, this is why type tags are written as implicit vals in base classes).

    This method is used to make a copy of the instance with new parameters in several methods in spark internals Default will find the constructor and make a copy for any class (AS LONG AS ALL CONSTRUCTOR PARAMS ARE VALS, this is why type tags are written as implicit vals in base classes).

    Note: that the convention in spark is to have the uid be a constructor argument, so that copies will share a uid with the original (developers should follow this convention).

    extra

    new parameters want to add to instance

    returns

    a new instance with the same uid

    Definition Classes
    OpPipelineStageBase → Params
  13. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  14. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  15. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  17. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  18. def explainParams(): String

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    Definition Classes
    Params
  19. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  20. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  21. final val featureSubsetStrategy: Param[String]

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    Definition Classes
    TreeEnsembleParams
  22. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol
  23. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  24. def fit(dataset: Dataset[_]): OpPredictorWrapperModel[GBTRegressionModel]

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    Function that fits the binary model

    Function that fits the binary model

    Definition Classes
    OpPredictorWrapper → Estimator
  25. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[OpPredictorWrapperModel[GBTRegressionModel]]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  26. def fit(dataset: Dataset[_], paramMap: ParamMap): OpPredictorWrapperModel[GBTRegressionModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  27. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): OpPredictorWrapperModel[GBTRegressionModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  28. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  29. final def getCacheNodeIds: Boolean

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    Definition Classes
    DecisionTreeParams
  30. final def getCheckpointInterval: Int

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    Definition Classes
    HasCheckpointInterval
  31. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  32. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  33. final def getFeatureSubsetStrategy: String

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    Definition Classes
    TreeEnsembleParams
  34. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol
  35. final def getImpurity: String

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    Definition Classes
    TreeRegressorParams
  36. final def getInputFeature[T <: FeatureType](i: Int): Option[FeatureLike[T]]

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    Gets an input feature Note: this method IS NOT safe to use outside the driver, please use getTransientFeature method instead

    Gets an input feature Note: this method IS NOT safe to use outside the driver, please use getTransientFeature method instead

    returns

    array of features

    Definition Classes
    InputParams
    Exceptions thrown

    NoSuchElementException if the features are not set

    RuntimeException in case one of the features is null

  37. final def getInputFeatures(): Array[OPFeature]

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    Gets the input features Note: this method IS NOT safe to use outside the driver, please use getTransientFeatures method instead

    Gets the input features Note: this method IS NOT safe to use outside the driver, please use getTransientFeatures method instead

    returns

    array of features

    Definition Classes
    InputParams
    Exceptions thrown

    NoSuchElementException if the features are not set

    RuntimeException in case one of the features is null

  38. final def getInputSchema(): StructType

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    Definition Classes
    OpPipelineStageParams
  39. final def getLabelCol: String

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    Definition Classes
    HasLabelCol
  40. def getLossType: String

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    Definition Classes
    GBTRegressorParams
  41. final def getMaxBins: Int

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    Definition Classes
    DecisionTreeParams
  42. final def getMaxDepth: Int

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    Definition Classes
    DecisionTreeParams
  43. final def getMaxIter: Int

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    Definition Classes
    HasMaxIter
  44. final def getMaxMemoryInMB: Int

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    Definition Classes
    DecisionTreeParams
  45. final def getMetadata(): Metadata

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    Definition Classes
    OpPipelineStageParams
  46. final def getMinInfoGain: Double

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    Definition Classes
    DecisionTreeParams
  47. final def getMinInstancesPerNode: Int

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    Definition Classes
    DecisionTreeParams
  48. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  49. def getOutput(): FeatureLike[Prediction]

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    Output features that will be created by this stage

    Output features that will be created by this stage

    returns

    feature of type OutputFeatures

    Definition Classes
    OpPipelineStage2OpPipelineStageBase
  50. final def getOutputFeatureName: String

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    Name of output feature (i.e.

    Name of output feature (i.e. column created by this stage)

    Definition Classes
    OpPipelineStage
  51. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  52. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol
  53. final def getSeed: Long

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    Definition Classes
    HasSeed
  54. def getSparkMlStage(): Option[GBTRegressor]

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    Method to access the spark stage being wrapped

    Method to access the spark stage being wrapped

    returns

    Option of spark ml stage

    Definition Classes
    SparkWrapperParams
  55. def getStageSavePath(): Option[String]

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    Gets a save path for wrapped spark stage

    Gets a save path for wrapped spark stage

    Definition Classes
    SparkWrapperParams
  56. final def getStepSize: Double

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    Definition Classes
    HasStepSize
  57. final def getSubsamplingRate: Double

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    Definition Classes
    TreeEnsembleParams
  58. final def getTransientFeature(i: Int): Option[TransientFeature]

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    Gets an input feature at index i

    Gets an input feature at index i

    i

    input index

    returns

    maybe an input feature

    Definition Classes
    InputParams
  59. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

    Definition Classes
    InputParams
  60. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  61. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  62. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  63. final val impurity: Param[String]

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    Definition Classes
    TreeRegressorParams
  64. final def in1: TransientFeature

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    Attributes
    protected
    Definition Classes
    HasIn1
  65. final def in2: TransientFeature

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    Attributes
    protected
    Definition Classes
    HasIn2
  66. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  67. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  68. final def inputAsArray(in: InputFeatures): Array[OPFeature]

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    Function to convert InputFeatures to an Array of FeatureLike

    Function to convert InputFeatures to an Array of FeatureLike

    returns

    an Array of FeatureLike

    Definition Classes
    OpPipelineStage2InputParams
  69. val inputParam1Name: String

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    Definition Classes
    OpPredictorWrapper
  70. val inputParam2Name: String

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    Definition Classes
    OpPredictorWrapper
  71. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  72. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  73. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  74. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  75. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol
  76. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  77. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  78. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  79. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  80. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  81. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  82. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  83. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  84. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  85. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  86. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  87. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  88. val lossType: Param[String]

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    Definition Classes
    GBTRegressorParams
  89. final val maxBins: IntParam

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    Definition Classes
    DecisionTreeParams
  90. final val maxDepth: IntParam

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    Definition Classes
    DecisionTreeParams
  91. final val maxIter: IntParam

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    Definition Classes
    HasMaxIter
  92. final val maxMemoryInMB: IntParam

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    Definition Classes
    DecisionTreeParams
  93. final val minInfoGain: DoubleParam

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    Definition Classes
    DecisionTreeParams
  94. final val minInstancesPerNode: IntParam

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    Definition Classes
    DecisionTreeParams
  95. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  96. final def notify(): Unit

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    Definition Classes
    AnyRef
  97. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  98. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

    Attributes
    protected
    Definition Classes
    OpPipelineStageParams
  99. def onSetInput(): Unit

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    Function to be called on setInput

    Function to be called on setInput

    Attributes
    protected
    Definition Classes
    OpGBTRegressorOpPipelineStageBase
  100. val operationName: String

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    Short unique name of the operation this stage performs

    Short unique name of the operation this stage performs

    returns

    operation name

    Definition Classes
    OpPredictorWrapperOpPipelineStageBase
  101. final def outputAsArray(out: OutputFeatures): Array[OPFeature]

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    Function to convert OutputFeatures to an Array of FeatureLike

    Function to convert OutputFeatures to an Array of FeatureLike

    returns

    an Array of FeatureLike

    Definition Classes
    OpPipelineStageOpPipelineStageBase
  102. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStage2OpPipelineStage
  103. def outputIsResponse: Boolean

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    Should output feature be a response? Yes, if any of the input features are.

    Should output feature be a response? Yes, if any of the input features are.

    returns

    true if the the output feature should be a response

    Definition Classes
    OpPipelineStage
  104. val outputParamName: String

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    Definition Classes
    OpPredictorWrapper
  105. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  106. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol
  107. val predictor: GBTRegressor

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    the predictor to wrap

    the predictor to wrap

    Definition Classes
    OpPredictorWrapper
  108. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  109. final val seed: LongParam

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    Definition Classes
    HasSeed
  110. final def set(paramPair: ParamPair[_]): OpGBTRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params
  111. final def set(param: String, value: Any): OpGBTRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params
  112. final def set[T](param: Param[T], value: T): OpGBTRegressor.this.type

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    Definition Classes
    Params
  113. def setCacheNodeIds(value: Boolean): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  114. def setCheckpointInterval(value: Int): OpGBTRegressor.this.type

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    Specifies how often to checkpoint the cached node IDs.

    Specifies how often to checkpoint the cached node IDs. E.g. 10 means that the cache will get checkpointed every 10 iterations. This is only used if cacheNodeIds is true and if the checkpoint directory is set in org.apache.spark.SparkContext. Must be at least 1. (default = 10)

    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  115. final def setDefault(paramPairs: ParamPair[_]*): OpGBTRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params
  116. final def setDefault[T](param: Param[T], value: T): OpGBTRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params
  117. def setImpurity(value: String): OpGBTRegressor.this.type

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    The impurity setting is ignored for GBT models.

    The impurity setting is ignored for GBT models. Individual trees are built using impurity "Variance."

    Definition Classes
    OpGBTRegressor → TreeRegressorParams
  118. final def setInput(features: InputFeatures): OpGBTRegressor.this.type

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    Input features that will be used by the stage

    Input features that will be used by the stage

    returns

    feature of type InputFeatures

    Definition Classes
    OpPipelineStageBase
  119. final def setInputFeatures[S <: OPFeature](features: Array[S]): OpGBTRegressor.this.type

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    Sets input features

    Sets input features

    S

    feature like type

    features

    array of input features

    returns

    this stage

    Attributes
    protected
    Definition Classes
    InputParams
  120. def setLossType(value: String): OpGBTRegressor.this.type

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  121. def setMaxBins(value: Int): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  122. def setMaxDepth(value: Int): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  123. def setMaxIter(value: Int): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → GBTParams
  124. def setMaxMemoryInMB(value: Int): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  125. final def setMetadata(m: Metadata): OpGBTRegressor.this.type

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    Definition Classes
    OpPipelineStageParams
  126. def setMinInfoGain(value: Double): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  127. def setMinInstancesPerNode(value: Int): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  128. def setOutputFeatureName(name: String): OpGBTRegressor.this.type

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    Definition Classes
    OpPipelineStage
  129. def setSeed(value: Long): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → DecisionTreeParams
  130. def setSparkMlStage(stage: Option[GBTRegressor]): OpGBTRegressor.this.type

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    Attributes
    protected
    Definition Classes
    SparkWrapperParams
  131. def setStageSavePath(path: String): OpGBTRegressor.this.type

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    Sets a save path for wrapped spark stage

    Sets a save path for wrapped spark stage

    Definition Classes
    SparkWrapperParams
  132. def setStepSize(value: Double): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → GBTParams
  133. def setSubsamplingRate(value: Double): OpGBTRegressor.this.type

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    Definition Classes
    OpGBTRegressor → TreeEnsembleParams
  134. final val sparkInputColParamNames: StringArrayParam

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    Definition Classes
    SparkWrapperParams
  135. final val sparkMlStage: SparkStageParam[GBTRegressor]

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    Definition Classes
    SparkWrapperParams
  136. final val sparkOutputColParamNames: StringArrayParam

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    Definition Classes
    SparkWrapperParams
  137. final def stageName: String

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    Stage unique name consisting of the stage operation name and uid

    Stage unique name consisting of the stage operation name and uid

    returns

    stage name

    Definition Classes
    OpPipelineStageBase
  138. final val stepSize: DoubleParam

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    Definition Classes
    GBTParams → HasStepSize
  139. final val subsamplingRate: DoubleParam

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    Definition Classes
    TreeEnsembleParams
  140. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  141. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  142. final def transformSchema(schema: StructType): StructType

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    This function translates the input and output features into spark schema checks and changes that will occur on the underlying data frame

    This function translates the input and output features into spark schema checks and changes that will occur on the underlying data frame

    schema

    schema of the input data frame

    returns

    a new schema with the output features added

    Definition Classes
    OpPipelineStageBase
  143. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  144. implicit val tti1: scala.reflect.api.JavaUniverse.TypeTag[RealNN]

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    Definition Classes
    OpPredictorWrapper
  145. implicit val tti2: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    Definition Classes
    OpPredictorWrapper
  146. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[Prediction]

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    Definition Classes
    OpPredictorWrapperOpPipelineStage2
  147. implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[Map[String, Double]]

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    Definition Classes
    OpPredictorWrapperOpPipelineStage2
  148. val uid: String

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    stage uid

    stage uid

    Definition Classes
    OpPredictorWrapper → Identifiable
  149. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    PredictorParams
  150. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  151. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  152. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  153. final def write: MLWriter

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    Definition Classes
    OpPipelineStageBase → MLWritable

Deprecated Value Members

  1. def setFeatureSubsetStrategy(value: String): OpGBTRegressor.this.type

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    Definition Classes
    TreeEnsembleParams
    Annotations
    @deprecated
    Deprecated

    (Since version 2.1.0) This method is deprecated and will be removed in 3.0.0.

Inherited from OpGBTRegressorParams

Inherited from GBTRegressorParams

Inherited from TreeRegressorParams

Inherited from GBTParams

Inherited from HasStepSize

Inherited from HasMaxIter

Inherited from TreeEnsembleParams

Inherited from DecisionTreeParams

Inherited from HasSeed

Inherited from HasCheckpointInterval

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from OpPredictorWrapper[GBTRegressor, GBTRegressionModel]

Inherited from SparkWrapperParams[GBTRegressor]

Inherited from HasIn2

Inherited from HasIn1

Inherited from OpPipelineStage[Prediction]

Inherited from OpPipelineStageBase

Inherited from MLWritable

Inherited from OpPipelineStageParams

Inherited from InputParams

Inherited from Estimator[OpPredictorWrapperModel[GBTRegressionModel]]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

expertSetParam

setParam

Ungrouped