class NerConverterInternal extends AnnotatorApproach[NerConverterInternalModel] with SourceTrackingMetadataParams with HasFeatures with FilteringParams with CheckLicense
Converts IOB or IOB2 representations of entities to a user-friendly one.
This is the AnnotatorApproach version of the NerConverterInternalModel annotator.
Chunks with no associated entity (tagged "O") are filtered.
This licensed annotator adds extra functionality to the open-source version by
adding the following parameters: blackList
, greedyMode
,
threshold
, and ignoreStopWords
that are not
available in the open-source annotator.
See also Inside–outside–beginning (tagging) for more information.
Example
The output of a MedicalNerModel follows the Annotator schema and looks like this after the transformation.
result.selectExpr("explode(ner_result)").show(5, false) +--------------------------------------------------------------------------+ |col | +--------------------------------------------------------------------------+ |{named_entity, 3, 3, O, {word -> A, confidence -> 0.994}, []} | |{named_entity, 5, 15, B-Age, {word -> 63-year-old, confidence -> 1.0}, []}| |{named_entity, 17, 19, B-Gender, {word -> man, confidence -> 0.9858}, []} | |{named_entity, 21, 28, O, {word -> presents, confidence -> 0.9952}, []} | |{named_entity, 30, 31, O, {word -> to, confidence -> 0.7063}, []} | +--------------------------------------------------------------------------+
After the converter is used:
result.selectExpr("explode(ner_converter_result)").show(5, false) +-----------------------------------------------------------------------------------+ |col | +-----------------------------------------------------------------------------------+ |{chunk, 5, 15, 63-year-old, {entity -> Age, sentence -> 0, chunk -> 0}, []} | |{chunk, 17, 19, man, {entity -> Gender, sentence -> 0, chunk -> 1}, []} | |{chunk, 64, 72, recurrent, {entity -> Modifier, sentence -> 0, chunk -> 2}, []} | |{chunk, 98, 107, cellulitis, {entity -> Diagnosis, sentence -> 0, chunk -> 3}, []} | |{chunk, 110, 119, pneumonias, {entity -> Diagnosis, sentence -> 0, chunk -> 4}, []}| +-----------------------------------------------------------------------------------+
- See also
- Grouped
- Alphabetic
- By Inheritance
- NerConverterInternal
- CheckLicense
- FilteringParams
- HasFeatures
- SourceTrackingMetadataParams
- ResetSentenceIndicesParam
- AnnotatorApproach
- CanBeLazy
- DefaultParamsWritable
- MLWritable
- HasOutputAnnotatorType
- HasOutputAnnotationCol
- HasInputAnnotationCols
- Estimator
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Type Members
-
type
AnnotatorType = String
- Definition Classes
- HasOutputAnnotatorType
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
$[T](param: Param[T]): T
- Attributes
- protected
- Definition Classes
- Params
-
def
$$[T](feature: StructFeature[T]): T
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
$$[K, V](feature: MapFeature[K, V]): Map[K, V]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
$$[T](feature: SetFeature[T]): Set[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
$$[T](feature: ArrayFeature[T]): Array[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
_fit(dataset: Dataset[_], recursiveStages: Option[PipelineModel]): NerConverterInternalModel
- Attributes
- protected
- Definition Classes
- AnnotatorApproach
-
val
allPossibleFieldsToStandardize: StringArrayParam
array with all possible fields containing the value to write in the standard field ordered by priority
array with all possible fields containing the value to write in the standard field ordered by priority
- Definition Classes
- SourceTrackingMetadataParams
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
beforeTraining(spark: SparkSession): Unit
- Definition Classes
- AnnotatorApproach
-
val
blackList: StringArrayParam
If defined, list of entities to ignore.
If defined, list of entities to ignore. The rest will be processed
- Definition Classes
- FilteringParams
-
val
caseSensitive: BooleanParam
Determines whether the definitions of the white listed and black listed entities are case sensitive or not.
Determines whether the definitions of the white listed and black listed entities are case sensitive or not. If the filterValue is 'entity', 'caseSensitive' is always false. The default value is true, except: com.johnsnowlabs.nlp.annotators.chunker.AssertionFilterer
- Definition Classes
- FilteringParams
-
final
def
checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
-
def
checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit
- Definition Classes
- CheckLicense
-
def
checkValidScope(scope: String): Unit
- Definition Classes
- CheckLicense
-
def
checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit
- Definition Classes
- CheckLicense
-
def
checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit
- Definition Classes
- CheckLicense
-
final
def
clear(param: Param[_]): NerConverterInternal.this.type
- Definition Classes
- Params
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
copy(extra: ParamMap): Estimator[NerConverterInternalModel]
- Definition Classes
- AnnotatorApproach → Estimator → PipelineStage → Params
-
def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
val
criteria: Param[String]
It is used to how to compare black and white listed values with the result of the Annotation.
It is used to how to compare black and white listed values with the result of the Annotation. Possible values are the following: 'isin', 'regex'. Default: isin
- isin : Filter by the chunk
- regex : Filter by using a regex
- Definition Classes
- FilteringParams
-
final
def
defaultCopy[T <: Params](extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
-
val
description: String
- Definition Classes
- NerConverterInternal → AnnotatorApproach
-
val
doExceptionHandling: BooleanParam
If true, exceptions are handled.
If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.
-
val
entitiesConfidence: MapFeature[String, Float]
Pairs (entity,confidenceThreshold).
Pairs (entity,confidenceThreshold). Filter the chunks with entities which have confidence lower than the confidence threshold.
- Definition Classes
- FilteringParams
-
lazy val
entitiesConfidenceMap: Map[String, Float]
- Definition Classes
- FilteringParams
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
explainParam(param: Param[_]): String
- Definition Classes
- Params
-
def
explainParams(): String
- Definition Classes
- Params
-
final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
val
features: ArrayBuffer[Feature[_, _, _]]
- Definition Classes
- HasFeatures
-
val
filterValue: Param[String]
Possible values are 'result' and 'entity'.
Possible values are 'result' and 'entity'. If the value is 'entity', it filters the ner chunks by the ner label that you want to filter. If the value is 'result', it will filter chunks by the result of the Annotation.
- Definition Classes
- FilteringParams
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
fit(dataset: Dataset[_]): NerConverterInternalModel
- Definition Classes
- AnnotatorApproach → Estimator
-
def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[NerConverterInternalModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], paramMap: ParamMap): NerConverterInternalModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): NerConverterInternalModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
-
def
get[T](feature: StructFeature[T]): Option[T]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
get[T](feature: SetFeature[T]): Option[Set[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
get[T](feature: ArrayFeature[T]): Option[Array[T]]
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getAllPossibleFieldsToStandardize: Array[String]
- Definition Classes
- SourceTrackingMetadataParams
-
def
getBlackList: Array[String]
Gets blackList parameter
Gets blackList parameter
- Definition Classes
- FilteringParams
-
def
getCaseSensitive: Boolean
Gets caseSensitive parameter
Gets caseSensitive parameter
- Definition Classes
- FilteringParams
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getIncludeOutputColumn: Boolean
- Definition Classes
- SourceTrackingMetadataParams
-
def
getIncludeStandardField: Boolean
- Definition Classes
- SourceTrackingMetadataParams
-
def
getInputCols: Array[String]
- Definition Classes
- HasInputAnnotationCols
-
def
getLazyAnnotator: Boolean
- Definition Classes
- CanBeLazy
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
final
def
getOutputCol: String
- Definition Classes
- HasOutputAnnotationCol
-
def
getOutputColumnKey: String
- Definition Classes
- SourceTrackingMetadataParams
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getResetSentenceIndices: Boolean
Gets resetSentenceIndices parameter
Gets resetSentenceIndices parameter
- Definition Classes
- ResetSentenceIndicesParam
-
def
getStandardFieldKey: String
- Definition Classes
- SourceTrackingMetadataParams
-
def
getThreshold: Float
Gets the confidence threshold
-
def
getWhiteList: Array[String]
Gets whiteList parameter
Gets whiteList parameter
- Definition Classes
- FilteringParams
-
val
greedyMode: BooleanParam
Whether to ignore B tags for contiguous tokens of same entity same
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
- lazy val hasThreshold: Boolean
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
val
ignoreStopWords: StringArrayParam
If defined, list of stop words to ignore.
-
val
includeOutputColumn: BooleanParam
whether or not to include a metadata key/value to specify the output column name for the annotation
whether or not to include a metadata key/value to specify the output column name for the annotation
- Definition Classes
- SourceTrackingMetadataParams
-
val
includeStandardField: BooleanParam
whether to standardize the metadata key for entity, useful for chunk columns
whether to standardize the metadata key for entity, useful for chunk columns
- Definition Classes
- SourceTrackingMetadataParams
-
def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
val
inputAnnotatorTypes: Array[String]
Input Annotator Type : DOCUMENT, TOKEN, NAMED_ENTITY
Input Annotator Type : DOCUMENT, TOKEN, NAMED_ENTITY
- Definition Classes
- NerConverterInternal → HasInputAnnotationCols
-
final
val
inputCols: StringArrayParam
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
-
val
lazyAnnotator: BooleanParam
- Definition Classes
- CanBeLazy
-
def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logDebug(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logError(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logInfo(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logTrace(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
msgHelper(schema: StructType): String
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
onTrained(model: NerConverterInternalModel, spark: SparkSession): Unit
- Definition Classes
- AnnotatorApproach
-
val
optionalInputAnnotatorTypes: Array[String]
- Definition Classes
- HasInputAnnotationCols
-
val
outputAnnotatorType: AnnotatorType
Output Annotator Type : CHUNK
Output Annotator Type : CHUNK
- Definition Classes
- NerConverterInternal → HasOutputAnnotatorType
-
final
val
outputCol: Param[String]
- Attributes
- protected
- Definition Classes
- HasOutputAnnotationCol
-
val
outputColumnKey: Param[String]
key name for the source column value
key name for the source column value
- Definition Classes
- SourceTrackingMetadataParams
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
val
preservePosition: BooleanParam
Whether to preserve the original position of the tokens in the original document or use the modified tokens
-
val
regex: StringArrayParam
If defined, list of regex to process the chunks (Default:
Array()
)If defined, list of regex to process the chunks (Default:
Array()
)- Definition Classes
- FilteringParams
-
val
replaceDictResource: ExternalResourceParam
If defined, path to the file containing a dictionary for entity replacement
-
val
replaceLabels: CustomLabels
If defined, contains a dictionary for entity replacement
-
def
resetSentenceIndices(metadata: Map[String, String]): Map[String, String]
Reset sentence index in metadata by adding
"sentence" -> "0"
Reset sentence index in metadata by adding
"sentence" -> "0"
- Attributes
- protected
- Definition Classes
- ResetSentenceIndicesParam
-
val
resetSentenceIndices: BooleanParam
Whether to reset sentence indices to treat the entire output as if it originates from a single document.
Whether to reset sentence indices to treat the entire output as if it originates from a single document.
When set to true, the metadata of each entity will be updated by assigning the
sentence
key a value of0
, effectively treating the entire output as if it comes from a single document, regardless of the original sentence boundaries. Default: False.- Definition Classes
- ResetSentenceIndicesParam
-
def
resolveFilter(chunkerAnnotations: Seq[Annotation]): Seq[Annotation]
- Attributes
- protected
- Definition Classes
- FilteringParams
-
def
resolveMergeFilter(a: Annotation, entityValue: String, falsePositivesArray: Array[(String, String, String)], replaceDictMap: Map[String, String] = Map.empty): Option[Annotation]
- Attributes
- protected
- Definition Classes
- FilteringParams
-
def
resolveWhiteListBlackListFilter(annotations: Seq[Annotation]): Seq[Annotation]
- Attributes
- protected
- Definition Classes
- FilteringParams
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
def
set[T](feature: StructFeature[T], value: T): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[K, V](feature: MapFeature[K, V], value: Map[K, V]): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[T](feature: SetFeature[T], value: Set[T]): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
set[T](feature: ArrayFeature[T], value: Array[T]): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
set(paramPair: ParamPair[_]): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): NerConverterInternal.this.type
- Definition Classes
- Params
-
def
setAllPossibleFieldsToStandardize(v: Array[String]): NerConverterInternal.this.type
- Definition Classes
- SourceTrackingMetadataParams
-
def
setAllowList(list: String*): NerConverterInternal.this.type
- Definition Classes
- FilteringParams
-
def
setAllowList(list: Array[String]): NerConverterInternal.this.type
- Definition Classes
- FilteringParams
-
def
setBlackList(list: String*): NerConverterInternal.this.type
- Definition Classes
- FilteringParams
-
def
setBlackList(list: Array[String]): NerConverterInternal.this.type
If defined, list of entities to ignore.
If defined, list of entities to ignore. The rest will be processed.
- Definition Classes
- FilteringParams
-
def
setCaseSensitive(value: Boolean): NerConverterInternal.this.type
Determines whether the definitions of the white listed and black listed entities are case sensitive or not.
Determines whether the definitions of the white listed and black listed entities are case sensitive or not. If the filterValue is 'entity', 'caseSensitive' is always False. The default value is true, except: com.johnsnowlabs.nlp.annotators.chunker.AssertionFilterer
- Definition Classes
- FilteringParams
-
def
setCriteria(s: String): NerConverterInternal.this.type
Sets criteria for how to compare black and white listed values with the result of the Annotation.
Sets criteria for how to compare black and white listed values with the result of the Annotation. Possible values are the following: 'isin', 'regex'. Default: isin.
- 'isin' : Filter by the chunk.
- 'regex' : Filter by using a regex.
- You can use 'assertion' in com.johnsnowlabs.nlp.annotators.chunker.AssertionFilterer and 'assertion' option is default value for com.johnsnowlabs.nlp.annotators.chunker.AssertionFilterer
- Definition Classes
- FilteringParams
-
def
setDefault[T](feature: StructFeature[T], value: () ⇒ T): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
final
def
setDefault(paramPairs: ParamPair[_]*): NerConverterInternal.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): NerConverterInternal.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
def
setDenyList(list: String*): NerConverterInternal.this.type
- Definition Classes
- FilteringParams
-
def
setDenyList(list: Array[String]): NerConverterInternal.this.type
- Definition Classes
- FilteringParams
-
def
setDoExceptionHandling(value: Boolean): NerConverterInternal.this.type
If true, exceptions are handled.
If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.
-
def
setEntitiesConfidence(value: Map[String, Float]): NerConverterInternal.this.type
- Definition Classes
- FilteringParams
-
def
setFilterEntity(v: String): NerConverterInternal.this.type
Possible values are 'result' and 'entity'.
Possible values are 'result' and 'entity'. If the value is 'entity', it filters the ner chunks by the ner label that you want to filter. If the value is 'result', it will filter chunks by the result of the Annotation.
- Definition Classes
- FilteringParams
-
def
setGreedyMode(value: Boolean): NerConverterInternal.this.type
Sets the bool value for parameter greedyMode
-
def
setIgnoreStopWords(list: String*): NerConverterInternal.this.type
Sets list of stopwords to ignore
-
def
setIncludeOutputColumn(v: Boolean): NerConverterInternal.this.type
- Definition Classes
- SourceTrackingMetadataParams
-
def
setIncludeStandardField(v: Boolean): NerConverterInternal.this.type
- Definition Classes
- SourceTrackingMetadataParams
-
final
def
setInputCols(value: String*): NerConverterInternal.this.type
- Definition Classes
- HasInputAnnotationCols
-
def
setInputCols(value: Array[String]): NerConverterInternal.this.type
- Definition Classes
- HasInputAnnotationCols
-
def
setLazyAnnotator(value: Boolean): NerConverterInternal.this.type
- Definition Classes
- CanBeLazy
-
final
def
setOutputCol(value: String): NerConverterInternal.this.type
- Definition Classes
- HasOutputAnnotationCol
-
def
setOutputColumnKey(v: String): NerConverterInternal.this.type
- Definition Classes
- SourceTrackingMetadataParams
-
def
setPreservePosition(value: Boolean): NerConverterInternal.this.type
Sets the bool value for parameter preservePosition
-
def
setRegex(list: String*): NerConverterInternal.this.type
Sets the list of regexes to process the chunks.
Sets the list of regexes to process the chunks.
- Definition Classes
- FilteringParams
-
def
setReplaceDictResource(path: String, readAs: Format = ReadAs.TEXT, options: Map[String, String] = Map("delimiter" -> ",")): NerConverterInternal.this.type
Sets the external dictionary resource path with options
-
def
setReplaceDictResource(path: ExternalResource): NerConverterInternal.this.type
Sets the external dictionary resource path
-
def
setReplaceLabels(labels: Map[String, String]): NerConverterInternal.this.type
Sets the dictionary for entity replacement
-
def
setResetSentenceIndices(value: Boolean): NerConverterInternal.this.type
Set whether to reset sentence indices to treat the entire output as if it originates from a single document.
Set whether to reset sentence indices to treat the entire output as if it originates from a single document.
When set to true, the metadata of each entity will be updated by assigning the
sentence
key a value of0
, effectively treating the entire output as if it comes from a single document, regardless of the original sentence boundaries. Default: False.- Definition Classes
- ResetSentenceIndicesParam
-
def
setStandardFieldKey(v: String): NerConverterInternal.this.type
- Definition Classes
- SourceTrackingMetadataParams
-
def
setThreshold(value: Float): NerConverterInternal.this.type
Sets the confidence threshold
-
def
setWhiteList(list: String*): NerConverterInternal.this.type
- Definition Classes
- FilteringParams
-
def
setWhiteList(list: Array[String]): NerConverterInternal.this.type
Sets the list of entities to process.
Sets the list of entities to process. The rest will be ignored. Do not include IOB prefix on labels.
- Definition Classes
- FilteringParams
-
val
standardFieldKey: Param[String]
key name for the standard homogenized field
key name for the standard homogenized field
- Definition Classes
- SourceTrackingMetadataParams
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
threshold: FloatParam
Confidence threshold
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): NerConverterInternalModel
- Definition Classes
- NerConverterInternal → AnnotatorApproach
- def transformReplaceDict(replaceDict: Array[(String, String)]): Map[String, String]
-
final
def
transformSchema(schema: StructType): StructType
- Definition Classes
- AnnotatorApproach → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- NerConverterInternal → Identifiable
-
def
updateMetadataWithSource(metadata: Map[String, String]): Map[String, String]
- Definition Classes
- SourceTrackingMetadataParams
-
def
validate(schema: StructType): Boolean
- Attributes
- protected
- Definition Classes
- AnnotatorApproach
-
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()
-
val
whiteList: StringArrayParam
If defined, list of entities to process.
If defined, list of entities to process. The rest will be ignored. Does not include IOB prefix on labels (Default:
Array()
)- Definition Classes
- FilteringParams
-
def
write: MLWriter
- Definition Classes
- DefaultParamsWritable → MLWritable
Inherited from CheckLicense
Inherited from FilteringParams
Inherited from HasFeatures
Inherited from SourceTrackingMetadataParams
Inherited from ResetSentenceIndicesParam
Inherited from AnnotatorApproach[NerConverterInternalModel]
Inherited from CanBeLazy
Inherited from DefaultParamsWritable
Inherited from MLWritable
Inherited from HasOutputAnnotatorType
Inherited from HasOutputAnnotationCol
Inherited from HasInputAnnotationCols
Inherited from Estimator[NerConverterInternalModel]
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