Class

com.salesforce.op.stages.impl.feature

TextMapHashingVectorizer

Related Doc: package feature

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class TextMapHashingVectorizer[T <: OPMap[String]] extends OPMapVectorizer[String, T] with TextParams

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Inherited
  1. TextMapHashingVectorizer
  2. TextParams
  3. OPMapVectorizer
  4. TrackNullsParam
  5. NumericMapDefaultParam
  6. MapVectorizerFuns
  7. CleanTextMapFun
  8. CleanTextFun
  9. MapPivotParams
  10. VectorizerDefaults
  11. SequenceEstimator
  12. OpPipelineStageN
  13. HasInN
  14. OpPipelineStage
  15. OpPipelineStageBase
  16. MLWritable
  17. OpPipelineStageParams
  18. InputParams
  19. Estimator
  20. PipelineStage
  21. Logging
  22. Params
  23. Serializable
  24. Serializable
  25. Identifiable
  26. AnyRef
  27. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TextMapHashingVectorizer(uid: String = UID[TextMapHashingVectorizer[T]])(implicit tti: scala.reflect.api.JavaUniverse.TypeTag[T])

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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. 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. final val blackListKeys: StringArrayParam

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    Definition Classes
    MapPivotParams
  7. implicit def booleanToDouble(v: Boolean): Double

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    Definition Classes
    VectorizerDefaults
  8. 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
  9. 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
    SequenceEstimatorOpPipelineStageBase
  10. final val cleanKeys: BooleanParam

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    Definition Classes
    MapPivotParams
  11. def cleanMap[V](m: Map[String, V], shouldCleanKey: Boolean, shouldCleanValue: Boolean): Map[String, V]

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    Definition Classes
    CleanTextMapFun
  12. final val cleanText: BooleanParam

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    Definition Classes
    TextParams
  13. def cleanTextFn(s: String, shouldClean: Boolean): String

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

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    Definition Classes
    Params
  15. def clone(): AnyRef

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

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    maps input type into a Map[String, Double] on the way to conversion to OPVector

    maps input type into a Map[String, Double] on the way to conversion to OPVector

    Definition Classes
    OPMapVectorizer
  17. final def copy(extra: ParamMap): TextMapHashingVectorizer.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
  18. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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    Attributes
    protected
    Definition Classes
    Params
  20. final val defaultValue: DoubleParam

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    Definition Classes
    NumericMapDefaultParam
  21. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  24. def explainParams(): String

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

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

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    Definition Classes
    Params
  27. def fillByKey(dataset: Dataset[Seq[Map[String, String]]]): Seq[Map[String, Double]]

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    Definition Classes
    OPMapVectorizer
  28. def filterKeys[V](m: Map[String, V], shouldCleanKey: Boolean, shouldCleanValue: Boolean): Map[String, V]

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    Attributes
    protected
    Definition Classes
    MapPivotParams
  29. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  30. def fit(dataset: Dataset[_]): SequenceModel[T, OPVector]

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    Spark operation on dataset to produce Dataset for constructor fit function and then turn output function into a Model

    Spark operation on dataset to produce Dataset for constructor fit function and then turn output function into a Model

    dataset

    input data for this stage

    returns

    a fitted model that will perform the transformation specified by the function defined in constructor fit

    Definition Classes
    SequenceEstimator → Estimator
  31. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[SequenceModel[T, OPVector]]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  32. def fit(dataset: Dataset[_], paramMap: ParamMap): SequenceModel[T, OPVector]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  33. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): SequenceModel[T, OPVector]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  34. def fitFn(dataset: Dataset[Seq[Map[String, String]]]): SequenceModel[T, OPVector]

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    Function that fits the sequence model

    Function that fits the sequence model

    Definition Classes
    OPMapVectorizerSequenceEstimator
  35. final def get[T](param: Param[T]): Option[T]

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

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

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    Definition Classes
    Params
  38. def getHashSpaceStrategy: HashSpaceStrategy

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  39. 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

  40. 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

  41. final def getInputSchema(): StructType

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    Definition Classes
    OpPipelineStageParams
  42. def getKeyValues(in: Dataset[Seq[Map[String, Double]]], shouldCleanKeys: Boolean, shouldCleanValues: Boolean): Seq[Seq[String]]

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    Attributes
    protected
    Definition Classes
    MapVectorizerFuns
  43. final def getMetadata(): Metadata

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

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    Definition Classes
    Params
  45. 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
  46. 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
  47. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  48. 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
  49. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

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

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

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    Definition Classes
    Params
  52. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  53. final val hashSpaceStrategy: Param[String]

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  54. final def inN: Array[TransientFeature]

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  57. 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
  58. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  61. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  62. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  69. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  74. def makeModel(args: OPMapVectorizerModelArgs, operationName: String, uid: String): OPMapVectorizerModel[String, T]

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  75. def makeVectorMetaWithNullIndicators(allKeys: Seq[Seq[String]]): OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    MapVectorizerFuns
  76. def makeVectorMetadata(allKeys: Seq[Seq[String]]): OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    MapVectorizerFuns
  77. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  80. final val numFeatures: IntParam

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  81. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

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

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    Function to be called on setInput

    Function to be called on setInput

    Definition Classes
    VectorizerDefaultsOpPipelineStageBase
  83. 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
    SequenceEstimatorOpPipelineStageBase
  84. 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
  85. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStageNOpPipelineStage
  86. 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
  87. 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
  88. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  89. final val prependFeatureName: BooleanParam

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  90. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  91. val seqIConvert: FeatureTypeSparkConverter[T]

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    Definition Classes
    SequenceEstimator
  92. implicit val seqIEncoder: Encoder[Seq[T.Value]]

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    Definition Classes
    SequenceEstimator
  93. final def set(paramPair: ParamPair[_]): TextMapHashingVectorizer.this.type

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

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

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    Definition Classes
    Params
  96. final def setBlackListKeys(keys: Array[String]): TextMapHashingVectorizer.this.type

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    Definition Classes
    MapPivotParams
  97. def setCleanKeys(clean: Boolean): TextMapHashingVectorizer.this.type

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    Definition Classes
    MapPivotParams
  98. def setCleanText(clean: Boolean): TextMapHashingVectorizer.this.type

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    Definition Classes
    TextParams
  99. final def setDefault(paramPairs: ParamPair[_]*): TextMapHashingVectorizer.this.type

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

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    Attributes
    protected
    Definition Classes
    Params
  101. def setDefaultValue(value: Double): TextMapHashingVectorizer.this.type

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    Definition Classes
    NumericMapDefaultParam
  102. def setFillWithConstant(value: Double): TextMapHashingVectorizer.this.type

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    Definition Classes
    NumericMapDefaultParam
  103. def setHashSpaceStrategy(v: HashSpaceStrategy): TextMapHashingVectorizer.this.type

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  104. final def setInput(features: FeatureLike[T]*): TextMapHashingVectorizer.this.type

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    Definition Classes
    OpPipelineStageN
  105. final def setInput(features: InputFeatures): TextMapHashingVectorizer.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
  106. final def setInputFeatures[S <: OPFeature](features: Array[S]): TextMapHashingVectorizer.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
  107. final def setMetadata(m: Metadata): TextMapHashingVectorizer.this.type

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    Definition Classes
    OpPipelineStageParams
  108. def setNumFeatures(v: Int): TextMapHashingVectorizer.this.type

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  109. def setOutputFeatureName(name: String): TextMapHashingVectorizer.this.type

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    Definition Classes
    OpPipelineStage
  110. def setPrependFeatureName(v: Boolean): TextMapHashingVectorizer.this.type

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  111. def setTrackNulls(v: Boolean): TextMapHashingVectorizer.this.type

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    Option to keep track of values that were missing

    Option to keep track of values that were missing

    Definition Classes
    TrackNullsParam
  112. final def setWhiteListKeys(keys: Array[String]): TextMapHashingVectorizer.this.type

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    Definition Classes
    MapPivotParams
  113. val shouldCleanValues: Boolean

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    Attributes
    protected
    Definition Classes
    OPMapVectorizer
  114. 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
  115. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  116. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  117. final val trackNulls: BooleanParam

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    Definition Classes
    TrackNullsParam
  118. 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
  119. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    type tag for input

    type tag for input

    Definition Classes
    SequenceEstimator
  121. implicit val ttiv: scala.reflect.api.JavaUniverse.TypeTag[T.Value]

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    type tag for input value

    type tag for input value

    Definition Classes
    SequenceEstimator
  122. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    type tag for input

    type tag for input

    Definition Classes
    SequenceEstimatorOpPipelineStageN
  123. 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
    SequenceEstimatorOpPipelineStageN
  124. val uid: String

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    uid for instance

    uid for instance

    Definition Classes
    SequenceEstimator → Identifiable
  125. 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
  126. def vectorMetadataWithNullIndicators: OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  127. 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
  128. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  131. final val whiteListKeys: StringArrayParam

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    Definition Classes
    MapPivotParams
  132. final val withConstant: BooleanParam

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    Definition Classes
    NumericMapDefaultParam
  133. final def write: MLWriter

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from TextParams

Inherited from OPMapVectorizer[String, T]

Inherited from TrackNullsParam

Inherited from NumericMapDefaultParam

Inherited from MapVectorizerFuns[Double, RealMap]

Inherited from CleanTextMapFun

Inherited from CleanTextFun

Inherited from MapPivotParams

Inherited from VectorizerDefaults

Inherited from SequenceEstimator[T, OPVector]

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 Estimator[SequenceModel[T, OPVector]]

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