Class

com.salesforce.op.stages.sparkwrappers.specific

OpTransformerWrapper

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class OpTransformerWrapper[I <: FeatureType, O <: FeatureType, T <: InOutTransformer] extends SwUnaryTransformer[I, O, T]

Wraps a spark ML transformer with setable input and output columns. Those transformers that fall in this case, include those that inherit from org.apache.spark.ml.UnaryEstimator, as well as others such as OneHotEncoder, org.apache.spark.ml.feature.Binarizer, org.apache.spark.ml.feature.VectorSlicer, org.apache.spark.ml.feature.HashingTF, org.apache.spark.ml.feature.StopWordsRemover, org.apache.spark.ml.feature.IndexToString, org.apache.spark.ml.feature.StringIndexer. Their defining characteristic is that they take one column as input, and output one column as result.

I

The type of the input feature

O

The type of the output feature (result of transformation)

T

type of spark transformer to wrap

Linear Supertypes
SwUnaryTransformer[I, O, T], SwTransformer1[I, O, T], SparkWrapperParams[T], OpPipelineStage1[I, O], HasIn1, OpPipelineStage[O], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
Ordering
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  2. By Inheritance
Inherited
  1. OpTransformerWrapper
  2. SwUnaryTransformer
  3. SwTransformer1
  4. SparkWrapperParams
  5. OpPipelineStage1
  6. HasIn1
  7. OpPipelineStage
  8. OpPipelineStageBase
  9. MLWritable
  10. OpPipelineStageParams
  11. InputParams
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new OpTransformerWrapper(transformer: T, uid: String = UID[OpTransformerWrapper[I, O, T]])(implicit tti: scala.reflect.api.JavaUniverse.TypeTag[I], tto: scala.reflect.api.JavaUniverse.TypeTag[O], ttov: scala.reflect.api.JavaUniverse.TypeTag[O.Value])

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    transformer

    The spark ML transformer that's being wrapped

    uid

    stage uid

Type Members

  1. final type InputFeatures = FeatureLike[I]

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    Input Features type

    Input Features type

    Definition Classes
    OpPipelineStage1OpPipelineStageInputParams
  2. final type OutputFeatures = FeatureLike[O]

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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 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
    OpPipelineStage1InputParams
  7. 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
  8. final def clear(param: Param[_]): OpTransformerWrapper.this.type

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    Definition Classes
    Params
  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. final def copy(extra: ParamMap): OpTransformerWrapper.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
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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

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

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    Definition Classes
    Params
  16. def explainParams(): String

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

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

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    Definition Classes
    Params
  19. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  21. final def getClass(): Class[_]

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

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    Definition Classes
    Params
  23. 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

  24. 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

  25. final def getInputSchema(): StructType

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    Definition Classes
    OpPipelineStageParams
  26. final def getMetadata(): Metadata

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    Definition Classes
    OpPipelineStageParams
  27. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  28. def getOutput(): FeatureLike[O]

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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
    OpPipelineStage1OpPipelineStageBase
  29. 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
  30. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  31. def getSparkMlStage(): Option[T]

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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
  32. 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
  33. 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
  34. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

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

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

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    Definition Classes
    Params
  37. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  38. final def in1: TransientFeature

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    Attributes
    protected
    Definition Classes
    HasIn1
  39. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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    Attributes
    protected
    Definition Classes
    Logging
  41. 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
    OpPipelineStage1InputParams
  42. val inputParamName: String

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    name of spark parameter that sets the first input column

    name of spark parameter that sets the first input column

    Definition Classes
    SwUnaryTransformer → SwTransformer1
  43. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  46. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  47. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  54. def logName: String

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

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

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

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

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    protected
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    Logging
  59. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  62. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

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

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    Function to be called on setInput

    Function to be called on setInput

    Attributes
    protected
    Definition Classes
    OpPipelineStageBase
  64. val operationName: String

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    unique name of the operation this stage performs

    unique name of the operation this stage performs

    Definition Classes
    SwUnaryTransformerOpPipelineStageBase
  65. 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
  66. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStage1OpPipelineStage
  67. 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
  68. val outputParamName: String

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    name of spark parameter that sets the first output column

    name of spark parameter that sets the first output column

    Definition Classes
    SwUnaryTransformer → SwTransformer1
  69. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  70. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  71. final def set(paramPair: ParamPair[_]): OpTransformerWrapper.this.type

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    Attributes
    protected
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    Params
  72. final def set(param: String, value: Any): OpTransformerWrapper.this.type

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    Attributes
    protected
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    Params
  73. final def set[T](param: Param[T], value: T): OpTransformerWrapper.this.type

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    Definition Classes
    Params
  74. final def setDefault(paramPairs: ParamPair[_]*): OpTransformerWrapper.this.type

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

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    Attributes
    protected
    Definition Classes
    Params
  76. final def setInput(features: InputFeatures): OpTransformerWrapper.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
  77. final def setInputFeatures[S <: OPFeature](features: Array[S]): OpTransformerWrapper.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
  78. final def setMetadata(m: Metadata): OpTransformerWrapper.this.type

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    Definition Classes
    OpPipelineStageParams
  79. def setOutputFeatureName(name: String): OpTransformerWrapper.this.type

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    Definition Classes
    OpPipelineStage
  80. def setSparkMlStage(stage: Option[T]): OpTransformerWrapper.this.type

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    Attributes
    protected
    Definition Classes
    SparkWrapperParams
  81. def setStageSavePath(path: String): OpTransformerWrapper.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
  82. final val sparkInputColParamNames: StringArrayParam

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    Definition Classes
    SparkWrapperParams
  83. final val sparkMlStage: SparkStageParam[T]

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    Definition Classes
    SparkWrapperParams
  84. final val sparkOutputColParamNames: StringArrayParam

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    Definition Classes
    SparkWrapperParams
  85. 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
  86. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  87. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  88. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    SwTransformer1 → Transformer
  89. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  90. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  91. 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
  92. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  93. val transformer: T

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    The spark ML transformer that's being wrapped

  94. implicit val tti: scala.reflect.api.JavaUniverse.TypeTag[I]

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    Definition Classes
    SwUnaryTransformer → SwTransformer1
  95. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[O]

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    Definition Classes
    SwUnaryTransformerOpPipelineStage1
  96. implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[O.Value]

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    Definition Classes
    SwUnaryTransformerOpPipelineStage1
  97. val uid: String

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    stage uid

    stage uid

    Definition Classes
    SwUnaryTransformer → Identifiable
  98. final def wait(): Unit

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

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

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

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from SwUnaryTransformer[I, O, T]

Inherited from SwTransformer1[I, O, T]

Inherited from SparkWrapperParams[T]

Inherited from OpPipelineStage1[I, O]

Inherited from HasIn1

Inherited from OpPipelineStage[O]

Inherited from OpPipelineStageBase

Inherited from MLWritable

Inherited from OpPipelineStageParams

Inherited from InputParams

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

Ungrouped