Class/Object

com.johnsnowlabs.nlp.annotators

RegexMatcher

Related Docs: object RegexMatcher | package annotators

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class RegexMatcher extends AnnotatorApproach[RegexMatcherModel]

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

Instance Constructors

  1. new RegexMatcher()

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  2. new RegexMatcher(uid: String)

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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. val annotatorType: AnnotatorType

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    Definition Classes
    RegexMatcherHasAnnotatorType
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def beforeTraining(spark: SparkSession): Unit

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    Definition Classes
    AnnotatorApproach
  8. final def clear(param: Param[_]): RegexMatcher.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. final def copy(extra: ParamMap): Estimator[RegexMatcherModel]

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    Definition Classes
    AnnotatorApproach → Estimator → 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. val description: String

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    Definition Classes
    RegexMatcherAnnotatorApproach
  14. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  17. def explainParams(): String

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    Definition Classes
    Params
  18. def extraValidate(structType: StructType): Boolean

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    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  19. def extraValidateMsg: String

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    Override for additional custom schema checks

    Override for additional custom schema checks

    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  20. final def extractParamMap(): ParamMap

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

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    Definition Classes
    Params
  22. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  23. final def fit(dataset: Dataset[_]): RegexMatcherModel

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    Definition Classes
    AnnotatorApproach → Estimator
  24. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[RegexMatcherModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  25. def fit(dataset: Dataset[_], paramMap: ParamMap): RegexMatcherModel

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  27. final def get[T](param: Param[T]): Option[T]

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

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    returns

    input annotations columns currently used

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

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    Definition Classes
    Params
  32. 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
  33. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  34. def getStrategy: String

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

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

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    Definition Classes
    Params
  37. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  38. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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

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

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

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    Definition Classes
    Params
  44. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  45. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  52. def logName: String

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  60. def onTrained(model: RegexMatcherModel, spark: SparkSession): Unit

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    Definition Classes
    AnnotatorApproach
  61. final val outputCol: Param[String]

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

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    Definition Classes
    Params
  63. val requiredAnnotatorTypes: Array[AnnotatorType]

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    Annotator reference id.

    Annotator reference id. Used to identify elements in metadata or to refer to this annotator type

    Definition Classes
    RegexMatcherHasInputAnnotationCols
  64. val rules: ExternalResourceParam

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  65. def save(path: String): Unit

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

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

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

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

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

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

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    Definition Classes
    HasInputAnnotationCols
  72. final def setInputCols(value: Array[String]): RegexMatcher.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
  73. final def setOutputCol(value: String): RegexMatcher.this.type

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    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  74. def setRules(path: String, delimiter: String, readAs: Format = ReadAs.LINE_BY_LINE, options: Map[String, String] = Map("format" -> "text")): RegexMatcher.this.type

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  75. def setRules(value: ExternalResource): RegexMatcher.this.type

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  76. def setStrategy(value: String): RegexMatcher.this.type

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  77. val strategy: Param[String]

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

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    Definition Classes
    AnyRef
  79. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  80. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): RegexMatcherModel

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    Definition Classes
    RegexMatcherAnnotatorApproach
  81. 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
    AnnotatorApproach → PipelineStage
  82. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    Definition Classes
    RegexMatcher → Identifiable
  84. 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
  85. final def wait(): Unit

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

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

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

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasAnnotatorType

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from Estimator[RegexMatcherModel]

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