final class OneVsRest extends Estimator[OneVsRestModel] with OneVsRestParams with MLWritable
Reduction of Multiclass Classification to Binary Classification. Performs reduction using one against all strategy. For a multiclass classification with k classes, train k models (one per class). Each example is scored against all k models and the model with highest score is picked to label the example.
- Annotations
- @SparkCode() @Since( "1.4.0" )
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Inherited
- OneVsRest
- MLWritable
- OneVsRestParams
- HasProbabilityCol
- ClassifierTypeTrait
- PredictorParams
- HasPredictionCol
- HasFeaturesCol
- HasLabelCol
- Estimator
- PipelineStage
- Logging
- Params
- Serializable
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Instance Constructors
Type Members
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type
ClassifierType = Classifier[F, E, M] forSome {type F, type M <: ClassificationModel[F, M], type E <: Classifier[F, E, M]}
- Definition Classes
- ClassifierTypeTrait
Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
$[T](param: Param[T]): T
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- Definition Classes
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final
def
==(arg0: Any): Boolean
- Definition Classes
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final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
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val
classifier: Param[ClassifierType]
param for the base binary classifier that we reduce multiclass classification into.
param for the base binary classifier that we reduce multiclass classification into. The base classifier input and output columns are ignored in favor of the ones specified in OneVsRest.
- Definition Classes
- OneVsRestParams
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final
def
clear(param: Param[_]): OneVsRest.this.type
- Definition Classes
- Params
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def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
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def
copy(extra: ParamMap): OneVsRest
- Definition Classes
- OneVsRest → Estimator → PipelineStage → Params
- Annotations
- @Since( "1.4.1" )
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
- protected
- Definition Classes
- Params
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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- protected
- Definition Classes
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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def
explainParam(param: Param[_]): String
- Definition Classes
- Params
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def
explainParams(): String
- Definition Classes
- Params
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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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final
val
featuresCol: Param[String]
- Definition Classes
- HasFeaturesCol
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def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
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def
fit(dataset: Dataset[_]): OneVsRestModel
- Definition Classes
- OneVsRest → Estimator
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[OneVsRestModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], paramMap: ParamMap): OneVsRestModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): OneVsRestModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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def
getClassifier: ClassifierType
- Definition Classes
- OneVsRestParams
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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final
def
getFeaturesCol: String
- Definition Classes
- HasFeaturesCol
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final
def
getLabelCol: String
- Definition Classes
- HasLabelCol
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
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final
def
getPredictionCol: String
- Definition Classes
- HasPredictionCol
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final
def
getProbabilityCol: String
- Definition Classes
- HasProbabilityCol
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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
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
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- protected
- Definition Classes
- Logging
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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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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final
val
labelCol: Param[String]
- Definition Classes
- HasLabelCol
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def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String): Unit
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- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
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- protected
- Definition Classes
- Logging
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def
logError(msg: ⇒ String): Unit
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- protected
- Definition Classes
- Logging
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
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- protected
- Definition Classes
- Logging
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def
logInfo(msg: ⇒ String): Unit
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- protected
- Definition Classes
- Logging
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def
logName: String
- Attributes
- protected
- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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- protected
- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String): Unit
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- protected
- Definition Classes
- Logging
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
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- protected
- Definition Classes
- Logging
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def
logWarning(msg: ⇒ String): Unit
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- Definition Classes
- Logging
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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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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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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final
val
predictionCol: Param[String]
- Definition Classes
- HasPredictionCol
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final
val
probabilityCol: Param[String]
- Definition Classes
- HasProbabilityCol
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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[_]): OneVsRest.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): OneVsRest.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set[T](param: Param[T], value: T): OneVsRest.this.type
- Definition Classes
- Params
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def
setClassifier(value: Classifier[_, _, _]): OneVsRest.this.type
- Annotations
- @Since( "1.4.0" )
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final
def
setDefault(paramPairs: ParamPair[_]*): OneVsRest.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): OneVsRest.this.type
- Attributes
- protected
- Definition Classes
- Params
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def
setFeaturesCol(value: String): OneVsRest.this.type
- Annotations
- @Since( "1.5.0" )
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def
setLabelCol(value: String): OneVsRest.this.type
- Annotations
- @Since( "1.5.0" )
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def
setPredictionCol(value: String): OneVsRest.this.type
- Annotations
- @Since( "1.5.0" )
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def
setProbabilityCol(value: String): OneVsRest.this.type
- Annotations
- @Since( "2.0.0" )
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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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def
transformSchema(schema: StructType): StructType
- Definition Classes
- OneVsRest → PipelineStage
- Annotations
- @Since( "1.4.0" )
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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
- OneVsRest → Identifiable
- Annotations
- @Since( "1.4.0" )
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def
validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
- Attributes
- protected
- Definition Classes
- PredictorParams
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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
- @native() @throws( ... )
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def
write: MLWriter
- Definition Classes
- OneVsRest → MLWritable
- Annotations
- @Since( "2.0.0" )