Class/Object

com.johnsnowlabs.nlp.annotators

RegexTokenizer

Related Docs: object RegexTokenizer | package annotators

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class RegexTokenizer extends AnnotatorModel[RegexTokenizer]

Tokenizes raw text into word pieces, tokens.

Linear Supertypes
AnnotatorModel[RegexTokenizer], HasOutputAnnotationCol, HasInputAnnotationCols, HasAnnotatorType, DefaultParamsWritable, MLWritable, Model[RegexTokenizer], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RegexTokenizer
  2. AnnotatorModel
  3. HasOutputAnnotationCol
  4. HasInputAnnotationCols
  5. HasAnnotatorType
  6. DefaultParamsWritable
  7. MLWritable
  8. Model
  9. Transformer
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RegexTokenizer()

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  2. new RegexTokenizer(uid: String)

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    uid

    required uid for storing annotator to disk

Type Members

  1. type AnnotatorType = String

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    Definition Classes
    HasAnnotatorType

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. def annotate(annotations: Seq[Annotation]): Seq[Annotation]

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    one to many annotation

    one to many annotation

    annotations

    Annotations that correspond to inputAnnotationCols generated by previous annotators if any

    returns

    any number of annotations processed for every input annotation. Not necessary one to one relationship

    Definition Classes
    RegexTokenizerAnnotatorModel
  6. val annotatorType: AnnotatorType

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    Definition Classes
    RegexTokenizerHasAnnotatorType
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. final def clear(param: Param[_]): RegexTokenizer.this.type

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    Definition Classes
    Params
  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. def copy(extra: ParamMap): RegexTokenizer

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    requirement for annotators copies

    requirement for annotators copies

    Definition Classes
    AnnotatorModel → Model → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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

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

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    Definition Classes
    Params
  16. def explainParams(): String

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

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

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    Definition Classes
    Params
  19. def finalize(): Unit

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

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

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

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    Definition Classes
    Params
  23. final def getInputCols: Array[String]

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    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  24. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  25. final def getOutputCol: String

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    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes
    HasOutputAnnotationCol
  26. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  27. def getPattern: String

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  28. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  30. def hasParent: Boolean

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    Definition Classes
    Model
  31. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  32. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  33. final val inputCols: StringArrayParam

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    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  34. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  37. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  38. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  45. def logName: String

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  53. final val outputCol: Param[String]

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    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  54. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  55. var parent: Estimator[RegexTokenizer]

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    Definition Classes
    Model
  56. val pattern: Param[String]

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  57. lazy val regex: Regex

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  58. val requiredAnnotatorTypes: Array[AnnotatorType]

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    A RegexTokenizer could require only for now a SentenceDetectorModel annotator

    A RegexTokenizer could require only for now a SentenceDetectorModel annotator

    Definition Classes
    RegexTokenizerHasInputAnnotationCols
  59. def save(path: String): Unit

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  65. final def setInputCols(value: String*): RegexTokenizer.this.type

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    Definition Classes
    HasInputAnnotationCols
  66. final def setInputCols(value: Array[String]): RegexTokenizer.this.type

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    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    HasInputAnnotationCols
  67. final def setOutputCol(value: String): RegexTokenizer.this.type

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    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  68. def setParent(parent: Estimator[RegexTokenizer]): RegexTokenizer

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    Definition Classes
    Model
  69. def setPattern(value: String): RegexTokenizer.this.type

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

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    Definition Classes
    AnyRef
  71. def tag(sentences: Seq[Sentence]): Seq[TokenizedSentence]

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  72. def toString(): String

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

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    Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content

    Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content

    dataset

    Dataset[Row]

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

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  76. final def transformSchema(schema: StructType): StructType

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    requirement for pipeline transformation validation.

    requirement for pipeline transformation validation. It is called on fit()

    Definition Classes
    AnnotatorModel → PipelineStage
  77. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  78. val uid: String

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    required uid for storing annotator to disk

    required uid for storing annotator to disk

    Definition Classes
    RegexTokenizer → Identifiable
  79. def validate(schema: StructType): Boolean

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    takes a Dataset and checks to see if all the required annotation types are present.

    takes a Dataset and checks to see if all the required annotation types are present.

    schema

    to be validated

    returns

    True if all the required types are present, else false

    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  80. final def wait(): Unit

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

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

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

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from AnnotatorModel[RegexTokenizer]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasAnnotatorType

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[RegexTokenizer]

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