Class/Object

com.johnsnowlabs.nlp.annotators.btm

BigTextMatcherModel

Related Docs: object BigTextMatcherModel | package btm

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class BigTextMatcherModel extends AnnotatorModel[BigTextMatcherModel] with HasStorageModel

Extracts entities out of provided phrases

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Inherited
  1. BigTextMatcherModel
  2. HasStorageModel
  3. HasExcludableStorage
  4. HasStorageReader
  5. HasCaseSensitiveProperties
  6. HasStorageRef
  7. AnnotatorModel
  8. CanBeLazy
  9. RawAnnotator
  10. HasOutputAnnotationCol
  11. HasInputAnnotationCols
  12. HasOutputAnnotatorType
  13. ParamsAndFeaturesWritable
  14. HasFeatures
  15. DefaultParamsWritable
  16. MLWritable
  17. Model
  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 BigTextMatcherModel()

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    internal constructor for writabale annotator

  2. new BigTextMatcherModel(uid: String)

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    uid

    internally renquired UID to make it writable

Type Members

  1. type AnnotationContent = Seq[Row]

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    internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI

    internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI

    Attributes
    protected
    Definition Classes
    AnnotatorModel
  2. type AnnotatorType = String

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    Definition Classes
    HasOutputAnnotatorType

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: SetFeature[T]): Set[T]

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

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

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    Definition Classes
    AnyRef → Any
  9. def _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame

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    Attributes
    protected
    Definition Classes
    AnnotatorModel
  10. def afterAnnotate(dataset: DataFrame): DataFrame

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    Attributes
    protected
    Definition Classes
    AnnotatorModel
  11. def annotate(annotations: Seq[Annotation]): Seq[Annotation]

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    Defines annotator phrase matching depending on whether we are using SBD or not

    Defines annotator phrase matching depending on whether we are using SBD or not

    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
    BigTextMatcherModelAnnotatorModel
  12. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  13. def beforeAnnotate(dataset: Dataset[_]): Dataset[_]

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    Attributes
    protected
    Definition Classes
    AnnotatorModel
  14. val caseSensitive: BooleanParam

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    Definition Classes
    HasCaseSensitiveProperties
  15. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

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    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  16. final def clear(param: Param[_]): BigTextMatcherModel.this.type

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    Definition Classes
    Params
  17. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. final def collapse(rs: List[(Int, Int)], sep: List[(Int, Int)] = Nil): List[(Int, Int)]

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    Attributes
    protected
    Annotations
    @tailrec()
  19. def copy(extra: ParamMap): BigTextMatcherModel

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    requirement for annotators copies

    requirement for annotators copies

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

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    Attributes
    protected
    Definition Classes
    Params
  21. def createDatabaseConnection(database: Name): RocksDBConnection

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    Definition Classes
    HasStorageRef
  22. def createReader(database: Name, connection: RocksDBConnection): StorageReader[_]

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    Attributes
    protected
    Definition Classes
    BigTextMatcherModelHasStorageReader
  23. val databases: Array[Name]

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

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    Attributes
    protected
    Definition Classes
    Params
  25. def deserializeStorage(path: String, spark: SparkSession): Unit

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    Definition Classes
    HasStorageModel
  26. def dfAnnotate: UserDefinedFunction

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    Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column

    Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column

    returns

    udf function to be applied to inputCols using this annotator's annotate function as part of ML transformation

    Attributes
    protected
    Definition Classes
    AnnotatorModel
  27. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  30. def explainParams(): String

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

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    Attributes
    protected
    Definition Classes
    RawAnnotator
  32. def extraValidateMsg: String

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    Override for additional custom schema checks

    Override for additional custom schema checks

    Attributes
    protected
    Definition Classes
    RawAnnotator
  33. final def extractParamMap(): ParamMap

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

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

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    Definition Classes
    HasFeatures
  36. def finalize(): Unit

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

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

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    Attributes
    protected
    Definition Classes
    HasFeatures
  39. def get[T](feature: SetFeature[T]): Option[Set[T]]

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

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    Attributes
    protected
    Definition Classes
    HasFeatures
  41. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  42. def getCaseSensitive: Boolean

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    Definition Classes
    HasCaseSensitiveProperties
  43. final def getClass(): Class[_]

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

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    Definition Classes
    Params
  45. def getIncludeStorage: Boolean

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    Definition Classes
    HasExcludableStorage
  46. def getInputCols: Array[String]

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    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  47. def getLazyAnnotator: Boolean

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    Definition Classes
    CanBeLazy
  48. def getMergeOverlapping: Boolean

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  49. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  50. 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
  51. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  52. def getReader[A](database: Name): StorageReader[A]

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    Attributes
    protected
    Definition Classes
    HasStorageReader
  53. def getStorageRef: String

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    Definition Classes
    HasStorageRef
  54. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  56. def hasParent: Boolean

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    Definition Classes
    Model
  57. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  58. val includeStorage: BooleanParam

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    Definition Classes
    HasExcludableStorage
  59. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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

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    Attributes
    protected
    Definition Classes
    Logging
  61. val inputAnnotatorTypes: 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
    BigTextMatcherModelHasInputAnnotationCols
  62. 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
  63. final def isDefined(param: Param[_]): Boolean

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

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

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    Definition Classes
    Params
  66. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  67. val lazyAnnotator: BooleanParam

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    Definition Classes
    CanBeLazy
  68. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  75. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  80. def merge(rs: List[(Int, Int)]): List[(Int, Int)]

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    Attributes
    protected
  81. val mergeOverlapping: BooleanParam

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  82. def msgHelper(schema: StructType): String

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    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  83. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  86. def onWrite(path: String, spark: SparkSession): Unit

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    Attributes
    protected
    Definition Classes
    HasStorageModelParamsAndFeaturesWritable
  87. val outputAnnotatorType: AnnotatorType

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  88. final val outputCol: Param[String]

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

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    Definition Classes
    Params
  90. var parent: Estimator[BigTextMatcherModel]

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    Definition Classes
    Model
  91. var readers: Map[Name, StorageReader[_]]

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    Attributes
    protected
    Definition Classes
    HasStorageReader
  92. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  93. def saveStorage(path: String, spark: SparkSession, withinStorage: Boolean = false): Unit

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    Definition Classes
    HasStorageModel
  94. def serializeStorage(path: String, spark: SparkSession): Unit

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    Definition Classes
    HasStorageModel
  95. def set[T](feature: StructFeature[T], value: T): BigTextMatcherModel.this.type

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

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    Attributes
    protected
    Definition Classes
    HasFeatures
  97. def set[T](feature: SetFeature[T], value: Set[T]): BigTextMatcherModel.this.type

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

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

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

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

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    Definition Classes
    Params
  102. def setCaseSensitive(value: Boolean): BigTextMatcherModel.this.type

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    Definition Classes
    HasCaseSensitiveProperties
  103. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): BigTextMatcherModel.this.type

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

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    Attributes
    protected
    Definition Classes
    HasFeatures
  105. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): BigTextMatcherModel.this.type

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

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

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

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    Attributes
    protected
    Definition Classes
    Params
  109. def setIncludeStorage(value: Boolean): BigTextMatcherModel.this.type

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    Definition Classes
    HasExcludableStorage
  110. final def setInputCols(value: String*): BigTextMatcherModel.this.type

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    Definition Classes
    HasInputAnnotationCols
  111. final def setInputCols(value: Array[String]): BigTextMatcherModel.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
  112. def setLazyAnnotator(value: Boolean): BigTextMatcherModel.this.type

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    Definition Classes
    CanBeLazy
  113. def setMergeOverlapping(v: Boolean): BigTextMatcherModel.this.type

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  114. final def setOutputCol(value: String): BigTextMatcherModel.this.type

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    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  115. def setParent(parent: Estimator[BigTextMatcherModel]): BigTextMatcherModel

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    Definition Classes
    Model
  116. def setStorageRef(value: String): BigTextMatcherModel.this.type

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    Definition Classes
    HasStorageRef
  117. val storageRef: Param[String]

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    Definition Classes
    HasStorageRef
  118. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  119. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  120. 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
  121. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  123. 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
    RawAnnotator → PipelineStage
  124. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    internally renquired UID to make it writable

    internally renquired UID to make it writable

    Definition Classes
    BigTextMatcherModel → Identifiable
  126. 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
    RawAnnotator
  127. def validateStorageRef(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): Unit

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    Definition Classes
    HasStorageRef
  128. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  131. def wrapColumnMetadata(col: Column): Column

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    Attributes
    protected
    Definition Classes
    RawAnnotator
  132. def write: MLWriter

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    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from HasStorageModel

Inherited from HasExcludableStorage

Inherited from HasStorageReader

Inherited from HasStorageRef

Inherited from CanBeLazy

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[BigTextMatcherModel]

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