Class

com.salesforce.op.stages.impl.feature

RealNNVectorizer

Related Doc: package feature

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class RealNNVectorizer extends SequenceTransformer[RealNN, OPVector] with VectorizerDefaults

Converts a sequence of real non nullable features into a vector feature

Linear Supertypes
VectorizerDefaults, SequenceTransformer[RealNN, OPVector], OpTransformerN[RealNN, OPVector], OpTransformer, OpPipelineStageN[RealNN, OPVector], HasInN, OpPipelineStage[OPVector], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RealNNVectorizer
  2. VectorizerDefaults
  3. SequenceTransformer
  4. OpTransformerN
  5. OpTransformer
  6. OpPipelineStageN
  7. HasInN
  8. OpPipelineStage
  9. OpPipelineStageBase
  10. MLWritable
  11. OpPipelineStageParams
  12. InputParams
  13. Transformer
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

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    uid

    uid for instance

Type Members

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

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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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. implicit def booleanToDouble(v: Boolean): Double

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    Definition Classes
    VectorizerDefaults
  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. final def clear(param: Param[_]): RealNNVectorizer.this.type

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    Definition Classes
    Params
  10. def clone(): AnyRef

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

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

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

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

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

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    Definition Classes
    Params
  17. def explainParams(): String

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

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

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    Definition Classes
    Params
  20. def finalize(): Unit

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

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

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

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    Definition Classes
    Params
  24. 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

  25. 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

  26. final def getInputSchema(): StructType

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

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

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    Definition Classes
    Params
  29. 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
  30. 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
  31. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  32. 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
  33. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

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

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

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    Definition Classes
    Params
  36. def hashCode(): Int

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  40. 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
  41. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  44. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  45. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  52. def logName: String

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  60. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

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

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    Function to be called on setInput

    Function to be called on setInput

    Definition Classes
    VectorizerDefaultsOpPipelineStageBase
  62. 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
    SequenceTransformerOpPipelineStageBase
  63. 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
  64. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStageNOpPipelineStage
  65. 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
  66. def outputVectorMeta: OpVectorMetadata

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    Get the metadata describing the output vector

    Get the metadata describing the output vector

    This does not trigger onGetMetadata()

    returns

    Metadata of output vector

    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  67. lazy val params: Array[Param[_]]

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  74. final def setInput(features: FeatureLike[RealNN]*): RealNNVectorizer.this.type

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    Definition Classes
    OpPipelineStageN
  75. final def setInput(features: InputFeatures): RealNNVectorizer.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
  76. final def setInputFeatures[S <: OPFeature](features: Array[S]): RealNNVectorizer.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
  77. final def setMetadata(m: Metadata): RealNNVectorizer.this.type

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    Definition Classes
    OpPipelineStageParams
  78. def setOutputFeatureName(name: String): RealNNVectorizer.this.type

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    Definition Classes
    OpPipelineStage
  79. 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
  80. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  81. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  82. 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
  83. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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

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    Function used to convert input to output

    Function used to convert input to output

    Definition Classes
    RealNNVectorizerOpTransformerN
  86. 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
  87. 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
  88. 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
  89. 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
  90. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    type tag for input

    type tag for input

    Definition Classes
    SequenceTransformerOpTransformerN
  92. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    type tag for output

    type tag for output

    Definition Classes
    SequenceTransformerOpPipelineStageN
  93. 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
    SequenceTransformerOpPipelineStageN
  94. val uid: String

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    uid for instance

    uid for instance

    Definition Classes
    SequenceTransformer → Identifiable
  95. def vectorMetadataFromInputFeatures: OpVectorMetadata

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    Compute the output vector metadata only from the input features.

    Compute the output vector metadata only from the input features. Vectorizers use this to derive the full vector, including pivot columns or indicator features.

    returns

    Vector metadata from input features

    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  96. def vectorMetadataWithNullIndicators: OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  97. def vectorOutputName: String

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    Get the name of the output vector

    Get the name of the output vector

    returns

    Output vector name as a string

    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  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 VectorizerDefaults

Inherited from OpTransformerN[RealNN, OPVector]

Inherited from OpTransformer

Inherited from OpPipelineStageN[RealNN, OPVector]

Inherited from HasInN

Inherited from OpPipelineStage[OPVector]

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