class Replacer extends AnnotatorModel[NerQuestionGenerator] with HasSimpleAnnotate[NerQuestionGenerator] with CheckLicense
Replaces entities in the original text with new ones.
This class allows to replace entities in the original text with the ones obtained with, for example, DeIdentificationModel or DateNormalizer.
Example
val documentAssembler = DocumentAssembler() .setInputCol("text") .setOutputCol("sentence") val tokenizer = Tokenizer() .setInputCols("sentence") .setOutputCol("token") val word_embeddings = WordEmbeddingsModel.pretrained("embeddings_clinical", "en", "clinical/models") .setInputCols(["sentence", "token"]) .setOutputCol("embeddings") val clinical_ner = MedicalNerModel.pretrained("ner_deid_generic_augmented", "en", "clinical/models") .setInputCols(["sentence", "token", "embeddings"]) .setOutputCol("ner") val ner_converter_name = NerConverterInternal() .setInputCols(["sentence","token","ner"]) .setOutputCol("ner_chunk") val nameChunkObfuscator = NameChunkObfuscatorApproach() .setInputCols("ner_chunk") .setOutputCol("replacement") .setRefFileFormat("csv") .setObfuscateRefFile("names_test.txt") .setRefSep("#") val replacer_name = Replacer() .setInputCols("replacement","sentence") .setOutputCol("obfuscated_document_name") .setUseReplacement(True) val nlpPipeline = new Pipeline().setStages=Array( documentAssembler, tokenizer, word_embeddings, clinical_ner, ner_converter_name, nameChunkObfuscator, replacer_name, )) val empty_data = spark.createDataFrame([[""]]).toDF("text") val model_chunck_obfuscator = nlpPipeline.fit(empty_data) val sample_text = "John Davies is a 62 y.o. patient admitted. Mr. Davies was seen by attending physician Dr. Lorand and was scheduled for emergency assessment." val lmodel = new LightPipeline(model_chunck_obfuscator) val res = lmodel.fullAnnotate(sample_text) "Original text. : " + res[0]['sentence'][0].result) "Obfuscated text : " + res[0]['obfuscated_document_name'][0].result) Original text. : John Davies is a 62 y.o. patient admitted. Mr. Davies was seen by attending physician Dr. Lorand and was scheduled for emergency assessment. Obfuscated text : Fitzpatrick is a <AGE> y.o. patient admitted. Mr. Bowman was seen by attending physician Dr. Acosta and was scheduled for emergency assessment.
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def
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- Definition Classes
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def
##(): Int
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final
def
$[T](param: Param[T]): T
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def
$$[T](feature: StructFeature[T]): T
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$$[K, V](feature: MapFeature[K, V]): Map[K, V]
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$$[T](feature: SetFeature[T]): Set[T]
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def
==(arg0: Any): Boolean
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def
_transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame
- Attributes
- protected
- Definition Classes
- AnnotatorModel
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def
afterAnnotate(dataset: DataFrame): DataFrame
- Definition Classes
- Replacer → AnnotatorModel
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def
annotate(annotations: Seq[Annotation]): Seq[Annotation]
- Definition Classes
- Replacer → HasSimpleAnnotate
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final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
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def
beforeAnnotate(dataset: Dataset[_]): Dataset[_]
- Attributes
- protected
- Definition Classes
- AnnotatorModel
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final
def
checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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def
checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit
- Definition Classes
- CheckLicense
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def
checkValidScope(scope: String): Unit
- Definition Classes
- CheckLicense
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def
checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit
- Definition Classes
- CheckLicense
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def
checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit
- Definition Classes
- CheckLicense
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final
def
clear(param: Param[_]): Replacer.this.type
- Definition Classes
- Params
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def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
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def
copy(extra: ParamMap): NerQuestionGenerator
- Definition Classes
- RawAnnotator → Model → Transformer → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
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def
dfAnnotate: UserDefinedFunction
- Definition Classes
- HasSimpleAnnotate
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
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def
explainParam(param: Param[_]): String
- Definition Classes
- Params
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def
explainParams(): String
- Definition Classes
- Params
-
def
extraValidate(structType: StructType): Boolean
- Attributes
- protected
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- RawAnnotator
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def
extraValidateMsg: String
- Attributes
- protected
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- RawAnnotator
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final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
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val
features: ArrayBuffer[Feature[_, _, _]]
- Definition Classes
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def
finalize(): Unit
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def
get[T](feature: StructFeature[T]): Option[T]
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def
get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
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def
get[T](feature: SetFeature[T]): Option[Set[T]]
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def
get[T](feature: ArrayFeature[T]): Option[Array[T]]
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
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final
def
getClass(): Class[_]
- Definition Classes
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- Annotations
- @native()
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getInputCols: Array[String]
- Definition Classes
- HasInputAnnotationCols
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def
getLazyAnnotator: Boolean
- Definition Classes
- CanBeLazy
- def getMappingsColumn: String
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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final
def
getOutputCol: String
- Definition Classes
- HasOutputAnnotationCol
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def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
- def getReturnEntityMappings: Boolean
- def getStaticEntityMappings: Map[String, String]
- def getStaticEntityMappingsStr: String
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
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def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
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def
hasParent: Boolean
- Definition Classes
- Model
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def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
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val
inputAnnotatorTypes: Array[String]
Input annotator types: DOCUMENT, CHUNK
Input annotator types: DOCUMENT, CHUNK
- Definition Classes
- Replacer → HasInputAnnotationCols
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final
val
inputCols: StringArrayParam
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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final
def
isDefined(param: Param[_]): Boolean
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final
def
isInstanceOf[T0]: Boolean
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
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def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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val
lazyAnnotator: BooleanParam
- Definition Classes
- CanBeLazy
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def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String): Unit
- Attributes
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- Definition Classes
- Logging
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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- Definition Classes
- Logging
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def
logInfo(msg: ⇒ String): Unit
- Attributes
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- Logging
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def
logName: String
- Attributes
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- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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- Logging
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def
logTrace(msg: ⇒ String): Unit
- Attributes
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- Logging
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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- Definition Classes
- Logging
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def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
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val
mappingsColumn: Param[String]
This column maps the annotations to their corresponding chunks before the entities are replaced
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def
msgHelper(schema: StructType): String
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
val
noneValuesTo: Param[String]
Determines the action to take when encountering a value of 'NONE' in the annotation.
Determines the action to take when encountering a value of 'NONE' in the annotation. This parameter can take one of the following three string values: - "entity": Replaces 'NONE' values with the entity field extracted from the annotation, if available. If the entity field is not available, it uses the string "NONE" wrapped by the specified delimiters. - "place_holder": Replaces 'NONE' values with a placeholder string wrapped by the specified delimiters. - "skip": Retains the original annotation result or uses the target_text from the annotation's metadata if available. - "prioritize_static_entity": If a static entity mapping is available for the entity type, it will use this values for mapping. Allowed Values: "entity", "place_holder", "skip", "prioritize_static_entity" Error Handling: If an unrecognized value is provided, an IllegalArgumentException will be thrown.
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final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
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final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
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def
onWrite(path: String, spark: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesWritable
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val
optionalInputAnnotatorTypes: Array[String]
- Definition Classes
- HasInputAnnotationCols
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val
outputAnnotatorType: AnnotatorType
Output annotator types: DOCUMENT
Output annotator types: DOCUMENT
- Definition Classes
- Replacer → HasOutputAnnotatorType
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final
val
outputCol: Param[String]
- Attributes
- protected
- Definition Classes
- HasOutputAnnotationCol
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
var
parent: Estimator[NerQuestionGenerator]
- Definition Classes
- Model
-
val
placeHolder: Param[String]
Specifies the placeholder string to use when
noneValuesTo
is set to "place_holder".Specifies the placeholder string to use when
noneValuesTo
is set to "place_holder". This placeholder string will be wrapped by the delimiters if placeHolderDelimiters are defined. -
val
placeHolderDelimiters: StringArrayParam
An array of two strings used as delimiters to wrap the placeholder or entity field when noneValuesTo is set to "place_holder" or "entity".
An array of two strings used as delimiters to wrap the placeholder or entity field when noneValuesTo is set to "place_holder" or "entity". The first element of the array is the prefix delimiter, and the second element is the suffix delimiter.
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val
returnEntityMappings: BooleanParam
With this property, you can select if you want to return mapping column.
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def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
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def
set[T](feature: StructFeature[T], value: T): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[K, V](feature: MapFeature[K, V], value: Map[K, V]): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[T](feature: SetFeature[T], value: Set[T]): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[T](feature: ArrayFeature[T], value: Array[T]): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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final
def
set(paramPair: ParamPair[_]): Replacer.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): Replacer.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): Replacer.this.type
- Definition Classes
- Params
-
def
setDefault[T](feature: StructFeature[T], value: () ⇒ T): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): Replacer.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
setDefault(paramPairs: ParamPair[_]*): Replacer.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): Replacer.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
final
def
setInputCols(value: String*): Replacer.this.type
- Definition Classes
- HasInputAnnotationCols
-
def
setInputCols(value: Array[String]): Replacer.this.type
- Definition Classes
- HasInputAnnotationCols
-
def
setLazyAnnotator(value: Boolean): Replacer.this.type
- Definition Classes
- CanBeLazy
-
def
setMappingsColumn(s: String): Replacer.this.type
This column maps the annotations to their corresponding chunks before the entities are replaced
-
def
setNoneValuesTo(value: String): Replacer.this.type
Determines the action to take when encountering a value of 'NONE' in the annotation.
Determines the action to take when encountering a value of 'NONE' in the annotation. This parameter can take one of the following three string values: - "entity": Replaces 'NONE' values with the entity field extracted from the annotation, if available. If the entity field is not available, it uses the string "NONE" wrapped by the specified delimiters. - "place_holder": Replaces 'NONE' values with a placeholder string wrapped by the specified delimiters. - "skip": Retains the original target_text from the annotation's metadata if available. If not available, it retains the original annotation result. - "prioritize_static_entity": If a static entity mapping is available for the entity type, it will use this values for mapping. Allowed Values: "entity", "place_holder", "skip", "prioritize_static_entity" Error Handling: If an unrecognized value is provided, an IllegalArgumentException will be thrown.
-
final
def
setOutputCol(value: String): Replacer.this.type
- Definition Classes
- HasOutputAnnotationCol
-
def
setParent(parent: Estimator[NerQuestionGenerator]): NerQuestionGenerator
- Definition Classes
- Model
-
def
setPlaceHolder(value: String): Replacer.this.type
Sets the placeholder string to use when noneValuesTo is set to "place_holder".
Sets the placeholder string to use when noneValuesTo is set to "place_holder". This placeholder string will be wrapped by the delimiters defined in placeHolderDelimiters.
-
def
setPlaceHolderDelimiters(value: Array[String]): Replacer.this.type
Sets an array of two strings used as delimiters to wrap the placeholder or entity field when noneValuesTo is set to "place_holder" or "entity".
Sets an array of two strings used as delimiters to wrap the placeholder or entity field when noneValuesTo is set to "place_holder" or "entity". The first element of the array is the prefix delimiter, and the second element is the suffix delimiter.
-
def
setReturnEntityMappings(s: Boolean): Replacer.this.type
With this property, you can select if you want to return mapping column.
-
def
setStaticEntityMappings(entities: HashMap[String, String]): Replacer.this.type
Sets map of entity types to their replacement values
-
def
setStaticEntityMappings(value: Map[String, String]): Replacer.this.type
Sets map of entity types to their replacement values
-
def
setStaticEntityMappingsFallback(value: String): Replacer.this.type
Fallback option for static entity mappings.
Fallback option for static entity mappings. Allowed values: 'entity', 'place_holder', 'skip', 'error'
- def setUseReplacement(value: Boolean): Replacer.this.type
-
val
staticEntityMappings: MapFeature[String, String]
A map of entity types to their replacement values
-
val
staticEntityMappingsFallback: Param[String]
Fallback option for static entity mappings.
Fallback option for static entity mappings. Allowed values: 'entity', 'place_holder', 'skip', 'error'
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
final
def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- AnnotatorModel → Transformer
-
def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @Since( "2.0.0" )
-
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
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- Replacer → Identifiable
-
val
useReplacement: BooleanParam
Specifies whether to use the replacement field from the metadata if it exists..
Specifies whether to use the replacement field from the metadata if it exists.. Default: true.
-
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
Inherited from CheckLicense
Inherited from HasSimpleAnnotate[NerQuestionGenerator]
Inherited from AnnotatorModel[NerQuestionGenerator]
Inherited from CanBeLazy
Inherited from RawAnnotator[NerQuestionGenerator]
Inherited from HasOutputAnnotationCol
Inherited from HasInputAnnotationCols
Inherited from HasOutputAnnotatorType
Inherited from ParamsAndFeaturesWritable
Inherited from HasFeatures
Inherited from DefaultParamsWritable
Inherited from MLWritable
Inherited from Model[NerQuestionGenerator]
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
Parameters
Annotator types
Required input and expected output annotator types