Packages

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" )
Linear Supertypes
MLWritable, OneVsRestParams, HasProbabilityCol, ClassifierTypeTrait, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[OneVsRestModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. OneVsRest
  2. MLWritable
  3. OneVsRestParams
  4. HasProbabilityCol
  5. ClassifierTypeTrait
  6. PredictorParams
  7. HasPredictionCol
  8. HasFeaturesCol
  9. HasLabelCol
  10. Estimator
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new OneVsRest()
    Annotations
    @Since( "1.4.0" )
  2. new OneVsRest(uid: String)
    Annotations
    @Since( "1.4.0" )

Type Members

  1. 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

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. 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
  7. final def clear(param: Param[_]): OneVsRest.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  9. def copy(extra: ParamMap): OneVsRest
    Definition Classes
    OneVsRest → Estimator → PipelineStage → Params
    Annotations
    @Since( "1.4.1" )
  10. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  11. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  15. def explainParams(): String
    Definition Classes
    Params
  16. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  17. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  18. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  19. def fit(dataset: Dataset[_]): OneVsRestModel
    Definition Classes
    OneVsRest → Estimator
    Annotations
    @Since( "2.0.0" )
  20. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[OneVsRestModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  21. def fit(dataset: Dataset[_], paramMap: ParamMap): OneVsRestModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  22. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): OneVsRestModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  23. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  24. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  25. def getClassifier: ClassifierType

    Definition Classes
    OneVsRestParams
  26. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  27. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  28. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  29. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  30. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  31. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  32. final def getProbabilityCol: String
    Definition Classes
    HasProbabilityCol
  33. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  34. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  35. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  36. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  37. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  39. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  40. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  41. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  42. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  43. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  44. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  51. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  56. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  57. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  58. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  59. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  60. final val probabilityCol: Param[String]
    Definition Classes
    HasProbabilityCol
  61. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  62. final def set(paramPair: ParamPair[_]): OneVsRest.this.type
    Attributes
    protected
    Definition Classes
    Params
  63. final def set(param: String, value: Any): OneVsRest.this.type
    Attributes
    protected
    Definition Classes
    Params
  64. final def set[T](param: Param[T], value: T): OneVsRest.this.type
    Definition Classes
    Params
  65. def setClassifier(value: Classifier[_, _, _]): OneVsRest.this.type

    Annotations
    @Since( "1.4.0" )
  66. final def setDefault(paramPairs: ParamPair[_]*): OneVsRest.this.type
    Attributes
    protected
    Definition Classes
    Params
  67. final def setDefault[T](param: Param[T], value: T): OneVsRest.this.type
    Attributes
    protected[ml]
    Definition Classes
    Params
  68. def setFeaturesCol(value: String): OneVsRest.this.type

    Annotations
    @Since( "1.5.0" )
  69. def setLabelCol(value: String): OneVsRest.this.type

    Annotations
    @Since( "1.5.0" )
  70. def setPredictionCol(value: String): OneVsRest.this.type

    Annotations
    @Since( "1.5.0" )
  71. def setProbabilityCol(value: String): OneVsRest.this.type

    Annotations
    @Since( "2.0.0" )
  72. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  73. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  74. def transformSchema(schema: StructType): StructType
    Definition Classes
    OneVsRest → PipelineStage
    Annotations
    @Since( "1.4.0" )
  75. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  76. val uid: String
    Definition Classes
    OneVsRest → Identifiable
    Annotations
    @Since( "1.4.0" )
  77. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    PredictorParams
  78. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  79. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  80. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  81. def write: MLWriter
    Definition Classes
    OneVsRest → MLWritable
    Annotations
    @Since( "2.0.0" )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from MLWritable

Inherited from OneVsRestParams

Inherited from HasProbabilityCol

Inherited from ClassifierTypeTrait

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[OneVsRestModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

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