Class

com.salesforce.op.stages.impl.feature

TextLenTransformer

Related Doc: package feature

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class TextLenTransformer[T <: TextList] extends SequenceTransformer[T, OPVector] with VectorizerDefaults with TextTokenizerParams with TextParams

Sequence transformer for generating a sequence of text lengths from a sequence of TextList values (eg. tokenized raw text)

Linear Supertypes
TextParams, TextTokenizerParams, TextMatchingParams, LanguageDetectionParams, VectorizerDefaults, SequenceTransformer[T, OPVector], OpTransformerN[T, OPVector], OpTransformer, OpPipelineStageN[T, OPVector], HasOut[OPVector], HasInN, OpPipelineStage[OPVector], OpPipelineStageBase, MLWritable, OpPipelineStageParams, InputParams, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. TextLenTransformer
  2. TextParams
  3. TextTokenizerParams
  4. TextMatchingParams
  5. LanguageDetectionParams
  6. VectorizerDefaults
  7. SequenceTransformer
  8. OpTransformerN
  9. OpTransformer
  10. OpPipelineStageN
  11. HasOut
  12. HasInN
  13. OpPipelineStage
  14. OpPipelineStageBase
  15. MLWritable
  16. OpPipelineStageParams
  17. InputParams
  18. Transformer
  19. PipelineStage
  20. Logging
  21. Params
  22. Serializable
  23. Serializable
  24. Identifiable
  25. AnyRef
  26. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TextLenTransformer(uid: String = UID[TextLenTransformer[_]])(implicit tti: scala.reflect.api.JavaUniverse.TypeTag[T], ttiv: scala.reflect.api.JavaUniverse.TypeTag[Seq[String]])

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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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. final val autoDetectLanguage: BooleanParam

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    Indicates whether to attempt language detection.

    Indicates whether to attempt language detection.

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

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    Definition Classes
    VectorizerDefaults
  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. final val cleanText: BooleanParam

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    Definition Classes
    TextParams
  12. final def clear(param: Param[_]): TextLenTransformer.this.type

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    Definition Classes
    Params
  13. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  14. final def copy(extra: ParamMap): TextLenTransformer.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 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
  18. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  21. def explainParams(): String

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

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

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    Definition Classes
    Params
  24. def finalize(): Unit

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

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    Definition Classes
    Params
  26. def getAutoDetectLanguage: Boolean

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    Definition Classes
    LanguageDetectionParams
  27. def getAutoDetectThreshold: Double

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

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

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    Definition Classes
    Params
  30. def getDefaultLanguage: Language

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    Definition Classes
    LanguageDetectionParams
  31. 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

  32. 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

  33. final def getInputSchema(): StructType

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

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    Definition Classes
    OpPipelineStageParams
  35. def getMinTokenLength: Int

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

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    Definition Classes
    Params
  37. 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
    HasOut → OpPipelineStageBase
  38. 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
  39. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  40. def getStripHtml: Boolean

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    Definition Classes
    TextTokenizerParams
  41. def getToLowercase: Boolean

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    Definition Classes
    TextMatchingParams
  42. 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
  43. final def getTransientFeatures(): Array[TransientFeature]

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    Gets the input Features

    Gets the input Features

    returns

    input features

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

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

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    Definition Classes
    Params
  46. def hashCode(): Int

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  50. 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
  51. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  54. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  55. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  62. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  67. final val minTokenLength: IntParam

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    Minimum token length, >= 1.

    Minimum token length, >= 1.

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

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

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

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    Definition Classes
    AnyRef
  71. def onGetMetadata(): Unit

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    Function to be called on getMetadata

    Function to be called on getMetadata

    Definition Classes
    TextLenTransformerOpPipelineStageParams
  72. def onSetInput(): Unit

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    Function to be called on setInput

    Function to be called on setInput

    Definition Classes
    VectorizerDefaultsInputParams
  73. 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
  74. 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
  75. def outputFeatureUid: String

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    Attributes
    protected[com.salesforce.op]
    Definition Classes
    OpPipelineStageNOpPipelineStage
  76. 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
  77. 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
  78. lazy val params: Array[Param[_]]

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

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

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

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

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    Definition Classes
    Params
  83. def setAutoDetectLanguage(value: Boolean): TextLenTransformer.this.type

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    Definition Classes
    LanguageDetectionParams
  84. def setAutoDetectThreshold(value: Double): TextLenTransformer.this.type

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    Definition Classes
    LanguageDetectionParams
  85. def setCleanText(clean: Boolean): TextLenTransformer.this.type

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

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

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    Attributes
    protected
    Definition Classes
    Params
  88. def setDefaultLanguage(value: Language): TextLenTransformer.this.type

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

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    Definition Classes
    OpPipelineStageN
  90. final def setInput(features: InputFeatures): TextLenTransformer.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
  91. final def setInputFeatures[S <: OPFeature](features: Array[S]): TextLenTransformer.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
  92. final def setMetadata(m: Metadata): TextLenTransformer.this.type

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    Definition Classes
    OpPipelineStageParams
  93. def setMinTokenLength(value: Int): TextLenTransformer.this.type

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    Definition Classes
    TextTokenizerParams
  94. def setOutputFeatureName(name: String): TextLenTransformer.this.type

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    Definition Classes
    OpPipelineStage
  95. def setStripHtml(value: Boolean): TextLenTransformer.this.type

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    Definition Classes
    TextTokenizerParams
  96. def setToLowercase(value: Boolean): TextLenTransformer.this.type

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    Definition Classes
    TextMatchingParams
  97. 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
  98. final val stripHtml: BooleanParam

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    Definition Classes
    TextTokenizerParams
  99. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  100. final val toLowercase: BooleanParam

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    Indicates whether to convert all characters to lowercase before string operation.

    Indicates whether to convert all characters to lowercase before string operation.

    Definition Classes
    TextMatchingParams
  101. def toString(): String

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

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    Definition Classes
    TextTokenizerParams
  103. 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
  104. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  106. 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
    TextLenTransformerOpTransformerN
  107. 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
  108. 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
  109. 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
  110. 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
  111. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    type tag for input

    type tag for input

    Definition Classes
    SequenceTransformerOpTransformerN
  113. implicit val ttiv: scala.reflect.api.JavaUniverse.TypeTag[Seq[String]]

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  114. implicit val tto: scala.reflect.api.JavaUniverse.TypeTag[OPVector]

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    type tag for output

    type tag for output

    Definition Classes
    SequenceTransformer → HasOut
  115. 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
    SequenceTransformer → HasOut
  116. val uid: String

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    uid for instance

    uid for instance

    Definition Classes
    SequenceTransformer → Identifiable
  117. 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
  118. def vectorMetadataWithNullIndicators: OpVectorMetadata

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    Attributes
    protected
    Definition Classes
    VectorizerDefaults
  119. 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
  120. final def wait(): Unit

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

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

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

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    Definition Classes
    OpPipelineStageBase → MLWritable

Inherited from TextParams

Inherited from TextTokenizerParams

Inherited from TextMatchingParams

Inherited from LanguageDetectionParams

Inherited from VectorizerDefaults

Inherited from SequenceTransformer[T, OPVector]

Inherited from OpTransformerN[T, OPVector]

Inherited from OpTransformer

Inherited from OpPipelineStageN[T, OPVector]

Inherited from HasOut[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