class AnnotationMerger extends AnnotatorModel[AnnotationMerger] with CheckLicense with HasMultipleInputAnnotationCols with HasSimpleAnnotate[AnnotationMerger]
Merges Annotations from multiple columns.
Example
val empty_data = Seq([[""]]).toDF("text") val document1 = DocumentAssembler().setInputCol("text").setOutputCol("document1") val document2 = DocumentAssembler().setInputCol("text").setOutputCol("document2") val annotation_merger = AnnotationMerger() .setInputCols("document1", "document2") .setInputType("document") .setOutputCol("all_docs") val pipelineModel = new Pipeline().setStages(Array( document1, document2, annotation_merger)).fit(empty_data) val lp = LightPipeline(pipelineModel) lp.fullAnnotate("one doc to be replicated") [{'document1': [Annotation(document, 0, 23, one doc to be replicated, {})], 'document2': [Annotation(document, 0, 23, one doc to be replicated, {})], 'all_docs': [Annotation(document, 0, 23, one doc to be replicated, {}), Annotation(document, 0, 23, one doc to be replicated, {})]}]
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- AnnotationMerger
- HasSimpleAnnotate
- HasMultipleInputAnnotationCols
- CheckLicense
- AnnotatorModel
- CanBeLazy
- RawAnnotator
- HasOutputAnnotationCol
- HasInputAnnotationCols
- HasOutputAnnotatorType
- ParamsAndFeaturesWritable
- HasFeatures
- DefaultParamsWritable
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- Transformer
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final
def
$[T](param: Param[T]): T
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def
$$[T](feature: StructFeature[T]): T
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def
$$[K, V](feature: MapFeature[K, V]): Map[K, V]
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def
$$[T](feature: SetFeature[T]): Set[T]
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$$[T](feature: ArrayFeature[T]): Array[T]
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def
==(arg0: Any): Boolean
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def
_transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame
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- AnnotatorModel
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def
afterAnnotate(dataset: DataFrame): DataFrame
- Attributes
- protected
- Definition Classes
- AnnotatorModel
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def
annotate(annotations: Seq[Annotation]): Seq[Annotation]
- Definition Classes
- AnnotationMerger → 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[_]): AnnotationMerger.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): AnnotationMerger
- 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
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def
dfAnnotate: UserDefinedFunction
- Definition Classes
- HasSimpleAnnotate
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
explainParam(param: Param[_]): String
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def
explainParams(): String
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def
extraValidate(structType: StructType): Boolean
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- RawAnnotator
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def
extraValidateMsg: String
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- RawAnnotator
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final
def
extractParamMap(): ParamMap
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final
def
extractParamMap(extra: ParamMap): ParamMap
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val
features: ArrayBuffer[Feature[_, _, _]]
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- HasFeatures
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def
finalize(): Unit
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- protected[lang]
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- Annotations
- @throws( classOf[java.lang.Throwable] )
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def
get[T](feature: StructFeature[T]): Option[T]
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- HasFeatures
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def
get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
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- HasFeatures
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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
- AnyRef → Any
- Annotations
- @native()
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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def
getInputCols: Array[String]
- Definition Classes
- HasInputAnnotationCols
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def
getInputType(): String
Gets the inpytType param
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def
getLazyAnnotator: Boolean
- Definition Classes
- CanBeLazy
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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
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
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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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lazy val
inputAnnotatorType: String
Input annotator type: one of DOCUMENT, TOKEN, WORD_EMBEDDINGS, SENTENCE_EMBEDDINGS, CATEGORY, DATE, SENTIMENT, POS, CHUNK, NAMED_ENTITY, REGEX, DEPENDENCY, LABELED_DEPENDENCY, LANGUAGE, or KEYWORD
Input annotator type: one of DOCUMENT, TOKEN, WORD_EMBEDDINGS, SENTENCE_EMBEDDINGS, CATEGORY, DATE, SENTIMENT, POS, CHUNK, NAMED_ENTITY, REGEX, DEPENDENCY, LABELED_DEPENDENCY, LANGUAGE, or KEYWORD
- Definition Classes
- AnnotationMerger → HasMultipleInputAnnotationCols
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lazy val
inputAnnotatorTypes: Array[String]
Input annotator types: one of DOCUMENT, TOKEN, WORD_EMBEDDINGS, SENTENCE_EMBEDDINGS, CATEGORY, DATE, SENTIMENT, POS, CHUNK, NAMED_ENTITY, REGEX, DEPENDENCY, LABELED_DEPENDENCY, LANGUAGE, or KEYWORD
Input annotator types: one of DOCUMENT, TOKEN, WORD_EMBEDDINGS, SENTENCE_EMBEDDINGS, CATEGORY, DATE, SENTIMENT, POS, CHUNK, NAMED_ENTITY, REGEX, DEPENDENCY, LABELED_DEPENDENCY, LANGUAGE, or KEYWORD
- Definition Classes
- AnnotationMerger → HasMultipleInputAnnotationCols → HasInputAnnotationCols
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final
val
inputCols: StringArrayParam
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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val
inputType: Param[String]
The type of the annotations that to merge.
The type of the annotations that to merge.
Possible values are
document|token|wordpiece|word_embeddings|sentence_embeddings|category|date|sentiment|pos|chunk|named_entity|regex|dependency|labeled_dependency|language|keyword
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
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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
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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- Logging
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def
logDebug(msg: ⇒ String): Unit
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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def
logError(msg: ⇒ String): Unit
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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- Logging
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def
logInfo(msg: ⇒ String): Unit
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- Logging
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def
logName: String
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- Logging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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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
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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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def
msgHelper(schema: StructType): String
- Attributes
- protected
- Definition Classes
- HasInputAnnotationCols
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
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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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lazy val
outputAnnotatorType: AnnotatorType
Output annotator types: CHUNK
Output annotator types: CHUNK
- Definition Classes
- AnnotationMerger → 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
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var
parent: Estimator[AnnotationMerger]
- Definition Classes
- Model
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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): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[K, V](feature: MapFeature[K, V], value: Map[K, V]): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[T](feature: SetFeature[T], value: Set[T]): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[T](feature: ArrayFeature[T], value: Array[T]): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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final
def
set(paramPair: ParamPair[_]): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set[T](param: Param[T], value: T): AnnotationMerger.this.type
- Definition Classes
- Params
-
def
setDefault[T](feature: StructFeature[T], value: () ⇒ T): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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final
def
setDefault(paramPairs: ParamPair[_]*): AnnotationMerger.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): AnnotationMerger.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
-
def
setInputCols(value: Array[String]): AnnotationMerger.this.type
- Definition Classes
- HasMultipleInputAnnotationCols → HasInputAnnotationCols
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final
def
setInputCols(value: String*): AnnotationMerger.this.type
- Definition Classes
- HasInputAnnotationCols
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def
setInputType(value: String): AnnotationMerger
Sets the inpytType param
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def
setLazyAnnotator(value: Boolean): AnnotationMerger.this.type
- Definition Classes
- CanBeLazy
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final
def
setOutputCol(value: String): AnnotationMerger.this.type
- Definition Classes
- HasOutputAnnotationCol
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def
setParent(parent: Estimator[AnnotationMerger]): AnnotationMerger
- Definition Classes
- Model
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
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def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
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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()
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final
def
transformSchema(schema: StructType): StructType
- Definition Classes
- RawAnnotator → PipelineStage
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def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
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val
uid: String
- Definition Classes
- AnnotationMerger → Identifiable
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def
validate(schema: StructType): Boolean
- Attributes
- protected
- Definition Classes
- RawAnnotator
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final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
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final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
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def
wrapColumnMetadata(col: Column): Column
- Attributes
- protected
- Definition Classes
- RawAnnotator
-
def
write: MLWriter
- Definition Classes
- ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
Inherited from HasSimpleAnnotate[AnnotationMerger]
Inherited from HasMultipleInputAnnotationCols
Inherited from CheckLicense
Inherited from AnnotatorModel[AnnotationMerger]
Inherited from CanBeLazy
Inherited from RawAnnotator[AnnotationMerger]
Inherited from HasOutputAnnotationCol
Inherited from HasInputAnnotationCols
Inherited from HasOutputAnnotatorType
Inherited from ParamsAndFeaturesWritable
Inherited from HasFeatures
Inherited from DefaultParamsWritable
Inherited from MLWritable
Inherited from Model[AnnotationMerger]
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