class Router extends AnnotatorModel[Router] with HasSimpleAnnotate[Router] with ParamsAndFeaturesWritable with CheckLicense
This class allows to filter any annotation based on the medatata fields.
val testData = ResourceHelper.spark.createDataFrame(Seq( (1, "\"Jesus live in Leon. Madrid is the capital of Spain") )).toDF("id", "text") val document = new DocumentAssembler() .setInputCol("text") .setOutputCol("document") val sentence = new SentenceDetector() .setInputCols("document") .setOutputCol("sentence") val regexMatcher = new RegexMatcher() .setExternalRules(ExternalResource("src/test/resources/regex-matcher/rules2.txt", ReadAs.TEXT, Map("delimiter" -> ","))) .setInputCols(Array("sentence")) .setOutputCol("regex") .setStrategy("MATCH_ALL") val chunk2Doc = new Chunk2Doc().setInputCols("regex").setOutputCol("doc_chunk") val embeddings = BertSentenceEmbeddings.pretrained("sent_small_bert_L2_128") .setInputCols("doc_chunk") .setOutputCol("bert") .setCaseSensitive(false) .setMaxSentenceLength(32) val routerName = new Router() .setInputType("sentence_embeddings") .setInputCols(Array("bert")) .setMetadataField("identifier") .setFilterFieldsElements(Array("name")) .setOutputCol("names") val routerCity = new Router() .setInputType("sentence_embeddings") .setInputCols(Array("bert")) .setMetadataField("identifier") .setFilterFieldsElements(Array("city")) .setOutputCol("cities")
          
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        annotate(annotations: Seq[Annotation]): Seq[Annotation]
      
      
      
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        beforeAnnotate(dataset: Dataset[_]): Dataset[_]
      
      
      
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        checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
      
      
      
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        clear(param: Param[_]): Router.this.type
      
      
      
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        copy(extra: ParamMap): Router
      
      
      
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        dfAnnotate: UserDefinedFunction
      
      
      
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        extraValidate(structType: StructType): Boolean
      
      
      
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        features: ArrayBuffer[Feature[_, _, _]]
      
      
      
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        filterFieldsElements: StringArrayParam
      
      
      
The filterfieldsElements are the allowed values for the metadata field that is being used
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 -  def getFilterFieldsElements(): Array[String]
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        getOutputCol: String
      
      
      
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        initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
      
      
      
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        lazy val
      
      
        inputAnnotatorTypes: Array[String]
      
      
      
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        inputCols: StringArrayParam
      
      
      
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        val
      
      
        inputType: Param[String]
      
      
      
The type of the entity that you want to filter by default sentence_embeddings.Possible values document|token|wordpiece|word_embeddings| sentence_embeddings|category|date|sentiment|pos|chunk|named_entity|regex|dependency|labeled_dependency|language|keyword
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        isTraceEnabled(): Boolean
      
      
      
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        lazyAnnotator: BooleanParam
      
      
      
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        log: Logger
      
      
      
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        metadataField: Param[String]
      
      
      
The metadataField is the field that in metadata that you want to filter (by default 'entity')
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        msgHelper(schema: StructType): String
      
      
      
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        onWrite(path: String, spark: SparkSession): Unit
      
      
      
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        optionalInputAnnotatorTypes: Array[String]
      
      
      
- Definition Classes
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        lazy val
      
      
        outputAnnotatorType: AnnotatorType
      
      
      
- Definition Classes
 - Router → HasOutputAnnotatorType
 
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        outputCol: Param[String]
      
      
      
- Attributes
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        lazy val
      
      
        params: Array[Param[_]]
      
      
      
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        var
      
      
        parent: Estimator[Router]
      
      
      
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        def
      
      
        save(path: String): Unit
      
      
      
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        set[T](feature: StructFeature[T], value: T): Router.this.type
      
      
      
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        set[K, V](feature: MapFeature[K, V], value: Map[K, V]): Router.this.type
      
      
      
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        set[T](feature: SetFeature[T], value: Set[T]): Router.this.type
      
      
      
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        set[T](feature: ArrayFeature[T], value: Array[T]): Router.this.type
      
      
      
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        setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): Router.this.type
      
      
      
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 -  def setFilterFieldsElements(value: Array[String]): Router
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        setInputCols(value: String*): Router.this.type
      
      
      
- Definition Classes
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        def
      
      
        setInputCols(value: Array[String]): Router.this.type
      
      
      
- Definition Classes
 - HasInputAnnotationCols
 
 -  def setInputType(value: String): Router
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        def
      
      
        setLazyAnnotator(value: Boolean): Router.this.type
      
      
      
- Definition Classes
 - CanBeLazy
 
 -  def setMetadataField(value: String): Router
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- Definition Classes
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        def
      
      
        setParent(parent: Estimator[Router]): Router
      
      
      
- Definition Classes
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 -  val storageRef: Param[String]
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        synchronized[T0](arg0: ⇒ T0): T0
      
      
      
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        toString(): String
      
      
      
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        final 
        def
      
      
        transform(dataset: Dataset[_]): DataFrame
      
      
      
- Definition Classes
 - AnnotatorModel → Transformer
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
      
      
      
- Definition Classes
 - Transformer
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 - @Since( "2.0.0" )
 
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        def
      
      
        transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
      
      
      
- Definition Classes
 - Transformer
 - Annotations
 - @Since( "2.0.0" ) @varargs()
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        transformSchema(schema: StructType): StructType
      
      
      
- Definition Classes
 - RawAnnotator → PipelineStage
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        transformSchema(schema: StructType, logging: Boolean): StructType
      
      
      
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        uid: String
      
      
      
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 - 
      
      
      
        
      
    
      
        
        def
      
      
        validate(schema: StructType): Boolean
      
      
      
- Attributes
 - protected
 - Definition Classes
 - RawAnnotator
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        wait(): Unit
      
      
      
- Definition Classes
 - AnyRef
 - Annotations
 - @throws( ... )
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        wait(arg0: Long, arg1: Int): Unit
      
      
      
- Definition Classes
 - AnyRef
 - Annotations
 - @throws( ... )
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        wait(arg0: Long): Unit
      
      
      
- Definition Classes
 - AnyRef
 - Annotations
 - @throws( ... ) @native()
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        wrapColumnMetadata(col: Column): Column
      
      
      
- Attributes
 - protected
 - Definition Classes
 - RawAnnotator
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        write: MLWriter
      
      
      
- Definition Classes
 - ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable