case class DocumentSimilarityRankerFinisher(uid: String) extends Transformer with DefaultParamsWritable with Product with Serializable
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def
!=(arg0: Any): Boolean
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def
##(): Int
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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- val FINISHED_DOC_SIM_RANKER_ID_DEFAULT: String
- val FINISHED_DOC_SIM_RANKER_NEIGHBORS_DEFAULT: String
- val LSH_ID_COL_NAME: String
- val LSH_NEIGHBORS_COL_NAME: String
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final
def
asInstanceOf[T0]: T0
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final
def
clear(param: Param[_]): DocumentSimilarityRankerFinisher.this.type
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def
clone(): AnyRef
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def
copy(extra: ParamMap): Transformer
- Definition Classes
- DocumentSimilarityRankerFinisher → 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
eq(arg0: AnyRef): Boolean
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def
explainParam(param: Param[_]): String
- Definition Classes
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def
explainParams(): String
- Definition Classes
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- val extractNearestNeighbor: BooleanParam
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final
def
extractParamMap(): ParamMap
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final
def
extractParamMap(extra: ParamMap): ParamMap
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finalize(): Unit
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get[T](param: Param[T]): Option[T]
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def
getClass(): Class[_]
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
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def
getExtractNearestNeighbor: Boolean
Name of input annotation cols containing embeddings
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def
getInputCols: Array[String]
Name of DocumentSimilarityRankerFinisher output cols
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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def
getOutputCols: Array[String]
Name of input annotation cols containing embeddings
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def
getParam(paramName: String): Param[Any]
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final
def
hasDefault[T](param: Param[T]): Boolean
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def
hasParam(paramName: String): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
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val
inputCols: StringArrayParam
Name of input annotation cols containing embeddings
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final
def
isDefined(param: Param[_]): Boolean
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def
isInstanceOf[T0]: Boolean
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def
isSet(param: Param[_]): Boolean
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def
isTraceEnabled(): Boolean
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def
log: Logger
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
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def
logDebug(msg: ⇒ String): Unit
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logError(msg: ⇒ String, throwable: Throwable): Unit
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logError(msg: ⇒ String): Unit
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logInfo(msg: ⇒ String, throwable: Throwable): Unit
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def
logInfo(msg: ⇒ String): Unit
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def
logName: String
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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def
logTrace(msg: ⇒ String): Unit
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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def
logWarning(msg: ⇒ String): Unit
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def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
- Definition Classes
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val
outputCols: StringArrayParam
Name of DocumentSimilarityRankerFinisher output cols
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
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final
def
set(paramPair: ParamPair[_]): DocumentSimilarityRankerFinisher.this.type
- Attributes
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final
def
set(param: String, value: Any): DocumentSimilarityRankerFinisher.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set[T](param: Param[T], value: T): DocumentSimilarityRankerFinisher.this.type
- Definition Classes
- Params
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final
def
setDefault(paramPairs: ParamPair[_]*): DocumentSimilarityRankerFinisher.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): DocumentSimilarityRankerFinisher.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
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def
setExtractNearestNeighbor(value: Boolean): DocumentSimilarityRankerFinisher.this.type
Set flag to extract best neighbor with distance
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def
setInputCols(value: String*): DocumentSimilarityRankerFinisher.this.type
Name of input annotation cols containing similar documents
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def
setInputCols(value: Array[String]): DocumentSimilarityRankerFinisher.this.type
Name of input annotation cols containing similar documents
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def
setOutputCols(value: String*): DocumentSimilarityRankerFinisher.this.type
Name of DocumentSimilarityRankerFinisher output cols
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def
setOutputCols(value: Array[String]): DocumentSimilarityRankerFinisher.this.type
Name of DocumentSimilarityRankerFinisher output cols
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
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def
transform(dataset: Dataset[_]): DataFrame
- Definition Classes
- DocumentSimilarityRankerFinisher → Transformer
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def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
- Annotations
- @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()
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def
transformSchema(schema: StructType): StructType
- Definition Classes
- DocumentSimilarityRankerFinisher → 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
- DocumentSimilarityRankerFinisher → Identifiable
-
final
def
wait(): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
- Definition Classes
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- @throws( ... ) @native()
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def
write: MLWriter
- Definition Classes
- DefaultParamsWritable → MLWritable