Class/Object

com.johnsnowlabs.nlp.annotators

RegexMatcher

Related Docs: object RegexMatcher | package annotators

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class RegexMatcher extends AnnotatorModel[RegexMatcher]

Matches regular expressions and maps them to specified values optionally provided Rules are provided from external source file

Linear Supertypes
AnnotatorModel[RegexMatcher], HasOutputAnnotationCol, HasInputAnnotationCols, HasAnnotatorType, ParamsAndFeaturesWritable, HasFeatures, DefaultParamsWritable, MLWritable, Model[RegexMatcher], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RegexMatcher
  2. AnnotatorModel
  3. HasOutputAnnotationCol
  4. HasInputAnnotationCols
  5. HasAnnotatorType
  6. ParamsAndFeaturesWritable
  7. HasFeatures
  8. DefaultParamsWritable
  9. MLWritable
  10. Model
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. 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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    uid

    internal element required 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. def $$[T](feature: StructFeature[T]): T

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    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: ArrayFeature[T]): Array[T]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  7. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  8. def annotate(annotations: Seq[Annotation]): Seq[Annotation]

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    one-to-many annotation that returns matches as annotations

    one-to-many annotation that returns matches as annotations

    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
    RegexMatcherAnnotatorModel
  9. val annotatorType: AnnotatorType

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

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

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    Definition Classes
    Params
  12. def clone(): AnyRef

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

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    requirement for annotators copies

    requirement for annotators copies

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

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

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

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

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

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    Definition Classes
    Params
  19. def explainParams(): String

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    Definition Classes
    Params
  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. val features: ArrayBuffer[Feature[_, _, _]]

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    Definition Classes
    HasFeatures
  23. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  24. def get[T](feature: StructFeature[T]): Option[T]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  25. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  26. def get[T](feature: ArrayFeature[T]): Option[Array[T]]

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    Attributes
    protected
    Definition Classes
    HasFeatures
  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 getRules: Array[(String, String)]

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  35. def getRulesFormat: String

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  36. def getRulesPath: String

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  37. def getRulesSeparator: String

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  38. def getStrategy: String

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

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

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    Definition Classes
    Params
  41. def hasParent: Boolean

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    Definition Classes
    Model
  42. def hashCode(): Int

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

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    Attributes
    protected
    Definition Classes
    Logging
  44. 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
  45. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  49. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  56. def logName: String

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef
  64. def onWritten(path: String, spark: SparkSession): Unit

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    Definition Classes
    ParamsAndFeaturesWritable
  65. final val outputCol: Param[String]

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

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    Definition Classes
    Params
  67. var parent: Estimator[RegexMatcher]

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    Definition Classes
    Model
  68. 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
  69. val rules: Param[Array[(String, String)]]

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  70. val rulesFormat: Param[String]

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  71. val rulesPath: Param[String]

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  72. val rulesSeparator: Param[String]

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  73. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  74. def set[T](feature: StructFeature[T], value: T): RegexMatcher.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  75. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): RegexMatcher.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  76. def set[T](feature: ArrayFeature[T], value: Array[T]): RegexMatcher.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  77. final def set(paramPair: ParamPair[_]): RegexMatcher.this.type

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

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

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    Definition Classes
    Params
  80. def setDefault[T](feature: StructFeature[T], value: T): RegexMatcher.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  81. def setDefault[K, V](feature: MapFeature[K, V], value: Map[K, V]): RegexMatcher.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  82. def setDefault[T](feature: ArrayFeature[T], value: Array[T]): RegexMatcher.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  83. final def setDefault(paramPairs: ParamPair[_]*): RegexMatcher.this.type

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

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

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    Definition Classes
    HasInputAnnotationCols
  86. 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
  87. 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
  88. def setParent(parent: Estimator[RegexMatcher]): RegexMatcher

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    Definition Classes
    Model
  89. def setRules(value: Array[(String, String)]): RegexMatcher.this.type

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  90. def setRulesFormat(format: String): RegexMatcher.this.type

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  91. def setRulesPath(path: String): RegexMatcher.this.type

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  92. def setRulesSeparator(separator: String): RegexMatcher.this.type

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

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  94. val strategy: Param[String]

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

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    Definition Classes
    AnyRef
  96. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  97. 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
  98. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  100. 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
  101. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    internal element required for storing annotator to disk

    internal element required for storing annotator to disk

    Definition Classes
    RegexMatcher → Identifiable
  103. 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
  104. final def wait(): Unit

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

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

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

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    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from AnnotatorModel[RegexMatcher]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[RegexMatcher]

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