Class

com.salesforce.op.stages.impl.feature

RealMapVectorizerModel

Related Doc: package feature

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final class RealMapVectorizerModel[T <: OPMap[Double]] extends OPMapVectorizerModel[Double, T]

Linear Supertypes
OPMapVectorizerModel[Double, T], CleanTextMapFun, CleanTextFun, SequenceModel[T, OPVector], OpTransformerN[T, OPVector], OpTransformer, OpPipelineStageN[T, OPVector], HasInN, OpPipelineStage[OPVector], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, Model[SequenceModel[T, OPVector]], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RealMapVectorizerModel
  2. OPMapVectorizerModel
  3. CleanTextMapFun
  4. CleanTextFun
  5. SequenceModel
  6. OpTransformerN
  7. OpTransformer
  8. OpPipelineStageN
  9. HasInN
  10. OpPipelineStage
  11. OpPipelineStageBase
  12. MLWritable
  13. OpPipelineStageParams
  14. InputParams
  15. Model
  16. Transformer
  17. PipelineStage
  18. Logging
  19. Params
  20. Serializable
  21. Serializable
  22. Identifiable
  23. AnyRef
  24. Any
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Type Members

  1. final type InputFeatures = Array[FeatureLike[T]]

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    Input Features type

    Input Features type

    Definition Classes
    OpPipelineStageNOpPipelineStageInputParams
  2. type KeyValue = (String) ⇒ Any

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    Feature name (key) -> value lookup, e.g Row, Map etc.

    Feature name (key) -> value lookup, e.g Row, Map etc.

    Definition Classes
    OpTransformer
  3. final type OutputFeatures = FeatureLike[OPVector]

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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. val args: OPMapVectorizerModelArgs

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    Definition Classes
    OPMapVectorizerModel
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  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
    OpPipelineStageNInputParams
  8. final 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
    OpTransformerNOpPipelineStageBase
  9. def cleanMap[V](m: Map[String, V], shouldCleanKey: Boolean, shouldCleanValue: Boolean): Map[String, V]

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    Definition Classes
    CleanTextMapFun
  10. def cleanTextFn(s: String, shouldClean: Boolean): String

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    Definition Classes
    CleanTextFun
  11. final def clear(param: Param[_]): RealMapVectorizerModel.this.type

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    Definition Classes
    Params
  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. def convertFn: (Map[String, Double]) ⇒ Map[String, Double]

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  14. final def copy(extra: ParamMap): RealMapVectorizerModel.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
  15. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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

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

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    Definition Classes
    Params
  20. def explainParams(): String

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

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

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    Definition Classes
    Params
  23. def finalize(): Unit

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

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

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

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    Definition Classes
    Params
  27. 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

  28. 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

  29. final def getInputSchema(): StructType

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

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

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    Definition Classes
    Params
  32. def getOutput(): FeatureLike[OPVector]

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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
    OpPipelineStageNOpPipelineStageBase
  33. 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
  34. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  35. 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
  36. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

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

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

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    Definition Classes
    Params
  39. def hasParent: Boolean

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    Definition Classes
    Model
  40. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  41. final def inN: Array[TransientFeature]

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    Attributes
    protected
    Definition Classes
    HasInN
  42. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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    Attributes
    protected
    Definition Classes
    Logging
  44. 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
    OpPipelineStageNInputParams
  45. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  49. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  56. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  61. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  64. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

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

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    Function to be called on setInput

    Function to be called on setInput

    Attributes
    protected
    Definition Classes
    OpPipelineStageBase
  66. 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
    SequenceModelOpPipelineStageBase
  67. 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
  68. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStageNOpPipelineStage
  69. 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
  70. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  71. var parent: Estimator[SequenceModel[T, OPVector]]

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    Definition Classes
    Model
  72. def save(path: String): Unit

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  78. final def setInput(features: FeatureLike[T]*): RealMapVectorizerModel.this.type

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    Definition Classes
    OpPipelineStageN
  79. final def setInput(features: InputFeatures): RealMapVectorizerModel.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
  80. final def setInputFeatures[S <: OPFeature](features: Array[S]): RealMapVectorizerModel.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
  81. final def setMetadata(m: Metadata): RealMapVectorizerModel.this.type

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    Definition Classes
    OpPipelineStageParams
  82. def setOutputFeatureName(name: String): RealMapVectorizerModel.this.type

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    Definition Classes
    OpPipelineStage
  83. def setParent(parent: Estimator[SequenceModel[T, OPVector]]): SequenceModel[T, OPVector]

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    Definition Classes
    Model
  84. 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
  85. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  86. def toString(): String

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

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    Spark operation on dataset to produce new output feature column using defined function

    Spark operation on dataset to produce new output feature column using defined function

    dataset

    input data for this stage

    returns

    a new dataset containing a column for the transformed feature

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  90. def transformFn: (Seq[T]) ⇒ OPVector

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    Function used to convert input to output

    Function used to convert input to output

    Definition Classes
    OPMapVectorizerModelOpTransformerN
  91. lazy val transformKeyValue: (KeyValue) ⇒ Any

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    Creates a transform function to transform any key/value to a value

    Creates a transform function to transform any key/value to a value

    returns

    a transform function to transform any key/value to a value

    Definition Classes
    OpTransformerN → OpTransformer
  92. def transformMap: (Map[String, Any]) ⇒ Any

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    Creates a transform function to transform Map to a value

    Creates a transform function to transform Map to a value

    returns

    a transform function to transform Map to a value

    Definition Classes
    OpTransformer
  93. def transformRow: (Row) ⇒ Any

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    Creates a transform function to transform Row to a value

    Creates a transform function to transform Row to a value

    returns

    a transform function to transform Row to a value

    Definition Classes
    OpTransformer
  94. 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
  95. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  96. implicit val tti: scala.reflect.api.JavaUniverse.TypeTag[T]

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    type tag for input

    type tag for input

    Definition Classes
    SequenceModelOpTransformerN
  97. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    type tag for output

    type tag for output

    Definition Classes
    SequenceModelOpPipelineStageN
  98. implicit val ttov: scala.reflect.api.JavaUniverse.TypeTag[Value]

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    type tag for output value

    type tag for output value

    Definition Classes
    SequenceModelOpPipelineStageN
  99. val uid: String

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    uid for instance

    uid for instance

    Definition Classes
    SequenceModel → Identifiable
  100. final def wait(): Unit

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

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

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

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from OPMapVectorizerModel[Double, T]

Inherited from CleanTextMapFun

Inherited from CleanTextFun

Inherited from SequenceModel[T, OPVector]

Inherited from OpTransformerN[T, OPVector]

Inherited from OpTransformer

Inherited from OpPipelineStageN[T, OPVector]

Inherited from HasInN

Inherited from OpPipelineStage[OPVector]

Inherited from OpPipelineStageBase

Inherited from MLWritable

Inherited from OpPipelineStageParams

Inherited from InputParams

Inherited from Model[SequenceModel[T, OPVector]]

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