Class

com.salesforce.op.stages.impl.feature

TextMapHashingVectorizerModel

Related Doc: package feature

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final class TextMapHashingVectorizerModel[T <: OPMap[String]] extends OPMapVectorizerModel[String, T] with TextTokenizerParams with HashingFun

Linear Supertypes
HashingFun, TextTokenizerParams, LanguageDetectionParams, OPMapVectorizerModel[String, 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. TextMapHashingVectorizerModel
  2. HashingFun
  3. TextTokenizerParams
  4. LanguageDetectionParams
  5. OPMapVectorizerModel
  6. CleanTextMapFun
  7. CleanTextFun
  8. SequenceModel
  9. OpTransformerN
  10. OpTransformer
  11. OpPipelineStageN
  12. HasInN
  13. OpPipelineStage
  14. OpPipelineStageBase
  15. MLWritable
  16. OpPipelineStageParams
  17. InputParams
  18. Model
  19. Transformer
  20. PipelineStage
  21. Logging
  22. Params
  23. Serializable
  24. Serializable
  25. Identifiable
  26. AnyRef
  27. 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 val autoDetectLanguage: BooleanParam

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    Indicates whether to attempt language detection.

    Indicates whether to attempt language detection.

    Definition Classes
    LanguageDetectionParams
  8. final val autoDetectThreshold: DoubleParam

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    Language detection threshold.

    Language detection threshold. If none of the detected languages have confidence greater than the threshold then defaultLanguage is used.

    Definition Classes
    LanguageDetectionParams
  9. 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
  10. 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
  11. def cleanMap[V](m: Map[String, V], shouldCleanKey: Boolean, shouldCleanValue: Boolean): Map[String, V]

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

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

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    Definition Classes
    Params
  14. def clone(): AnyRef

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

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  16. final def copy(extra: ParamMap): TextMapHashingVectorizerModel.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
  17. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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    Attributes
    protected
    Definition Classes
    Params
  19. final val defaultLanguage: Param[String]

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    Default language to assume in case autoDetectLanguage is disabled or failed to make a good enough prediction.

    Default language to assume in case autoDetectLanguage is disabled or failed to make a good enough prediction.

    Definition Classes
    LanguageDetectionParams
  20. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  23. def explainParams(): String

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

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

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    Definition Classes
    Params
  26. def finalize(): Unit

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

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    Definition Classes
    Params
  28. def getAutoDetectLanguage: Boolean

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    Definition Classes
    LanguageDetectionParams
  29. def getAutoDetectThreshold: Double

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    Definition Classes
    LanguageDetectionParams
  30. final def getClass(): Class[_]

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

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    Definition Classes
    Params
  32. def getDefaultLanguage: Language

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    Definition Classes
    LanguageDetectionParams
  33. 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

  34. 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

  35. final def getInputSchema(): StructType

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

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    Definition Classes
    OpPipelineStageParams
  37. def getMinTokenLength: Int

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    Definition Classes
    TextTokenizerParams
  38. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  39. 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
  40. 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
  41. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  42. def getToLowercase: Boolean

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    Definition Classes
    TextTokenizerParams
  43. 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
  44. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

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

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

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    Definition Classes
    Params
  47. def hasParent: Boolean

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    Definition Classes
    Model
  48. def hash[T <: OPCollection](in: Seq[T], features: Array[TransientFeature], params: HashingFunctionParams): OPVector

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    Hashes input sequence of values into OPVector using the supplied hashing params

    Hashes input sequence of values into OPVector using the supplied hashing params

    Attributes
    protected
    Definition Classes
    HashingFun
  49. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  50. val hashSpaceStrategy: HashSpaceStrategy

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  51. def hashingTF(params: HashingFunctionParams): HashingTF

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    HashingTF instance

    HashingTF instance

    Attributes
    protected
    Definition Classes
    HashingFun
  52. final def inN: Array[TransientFeature]

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  55. 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
  56. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  59. def isSharedHashSpace(p: HashingFunctionParams, numFeatures: Option[Int] = None): Boolean

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    Determine if the transformer should use a shared hash space for all features or not

    Determine if the transformer should use a shared hash space for all features or not

    returns

    true if the shared hashing space to be used, false otherwise

    Attributes
    protected
    Definition Classes
    HashingFun
  60. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  61. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  68. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  73. def makeVectorColumnMetadata(features: Array[TransientFeature], params: HashingFunctionParams): Array[OpVectorColumnMetadata]

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    Attributes
    protected
    Definition Classes
    HashingFun
  74. def makeVectorMetadata(features: Array[TransientFeature], params: HashingFunctionParams, outputName: String): OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    HashingFun
  75. final val minTokenLength: IntParam

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    Minimum token length, >= 1.

    Minimum token length, >= 1.

    Definition Classes
    TextTokenizerParams
  76. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  79. val numFeatures: Int

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  80. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

    Definition Classes
    TextMapHashingVectorizerModelOpPipelineStageParams
  81. def onSetInput(): Unit

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    Function to be called on setInput

    Function to be called on setInput

    Attributes
    protected
    Definition Classes
    OpPipelineStageBase
  82. 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
  83. 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
  84. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStageNOpPipelineStage
  85. 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
  86. lazy val params: Array[Param[_]]

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

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    Definition Classes
    Model
  88. def prepare[T <: OPCollection](el: T, shouldHashWithIndex: Boolean, shouldPrependFeatureName: Boolean, featureNameHash: Int): Iterable[Any]

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    Function that prepares the input columns to be hashed Note that MurMur3 hashing algorithm only defined for primitive types so need to convert tuples to strings.

    Function that prepares the input columns to be hashed Note that MurMur3 hashing algorithm only defined for primitive types so need to convert tuples to strings. MultiPickList sets are hashed as is since there is no meaningful order in the selected choices. Lists and vectors can be hashed with or without their indices, since order may be important. Maps are hashed as (key,value) strings.

    el

    element we are hashing (eg. an OPList, OPMap, etc.)

    returns

    an Iterable object corresponding to the hashed element

    Attributes
    protected
    Definition Classes
    HashingFun
  89. def save(path: String): Unit

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

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

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

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    Definition Classes
    Params
  93. def setAutoDetectLanguage(value: Boolean): TextMapHashingVectorizerModel.this.type

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    Definition Classes
    LanguageDetectionParams
  94. def setAutoDetectThreshold(value: Double): TextMapHashingVectorizerModel.this.type

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    Definition Classes
    LanguageDetectionParams
  95. final def setDefault(paramPairs: ParamPair[_]*): TextMapHashingVectorizerModel.this.type

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

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    Attributes
    protected
    Definition Classes
    Params
  97. def setDefaultLanguage(value: Language): TextMapHashingVectorizerModel.this.type

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    Definition Classes
    LanguageDetectionParams
  98. final def setInput(features: FeatureLike[T]*): TextMapHashingVectorizerModel.this.type

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    Definition Classes
    OpPipelineStageN
  99. final def setInput(features: InputFeatures): TextMapHashingVectorizerModel.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
  100. final def setInputFeatures[S <: OPFeature](features: Array[S]): TextMapHashingVectorizerModel.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
  101. final def setMetadata(m: Metadata): TextMapHashingVectorizerModel.this.type

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    Definition Classes
    OpPipelineStageParams
  102. def setMinTokenLength(value: Int): TextMapHashingVectorizerModel.this.type

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    Definition Classes
    TextTokenizerParams
  103. def setOutputFeatureName(name: String): TextMapHashingVectorizerModel.this.type

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

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    Definition Classes
    Model
  105. def setToLowercase(value: Boolean): TextMapHashingVectorizerModel.this.type

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    Definition Classes
    TextTokenizerParams
  106. val shouldPrependFeatureName: Boolean

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  107. 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
  108. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  109. final val toLowercase: BooleanParam

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    Indicates whether to convert all characters to lowercase before tokenizing.

    Indicates whether to convert all characters to lowercase before tokenizing.

    Definition Classes
    TextTokenizerParams
  110. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  111. def tokenize(text: Text, languageDetector: LanguageDetector = TextTokenizer.LanguageDetector, analyzer: TextAnalyzer = TextTokenizer.Analyzer): TextTokenizerResult

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    Definition Classes
    TextTokenizerParams
  112. 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
  113. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  115. 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
    TextMapHashingVectorizerModelOPMapVectorizerModelOpTransformerN
  116. 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
  117. 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
  118. 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
  119. 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
  120. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    type tag for input

    type tag for input

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

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    type tag for output

    type tag for output

    Definition Classes
    SequenceModelOpPipelineStageN
  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
    SequenceModelOpPipelineStageN
  124. val uid: String

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    uid for instance

    uid for instance

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

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

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

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

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from HashingFun

Inherited from TextTokenizerParams

Inherited from LanguageDetectionParams

Inherited from OPMapVectorizerModel[String, 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