Class/Object

org.apache.spark.ml.mleap.classification

OneVsRest

Related Docs: object OneVsRest | package classification

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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()

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    Annotations
    @Since( "1.4.0" )

  2. new OneVsRest(uid: String)

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    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]}

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    Definition Classes
    ClassifierTypeTrait

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val classifier: Param[ClassifierType]

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    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

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    Definition Classes
    Params

  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. def copy(extra: ParamMap): OneVsRest

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    Definition Classes
    OneVsRest → Estimator → PipelineStage → Params
    Annotations
    @Since( "1.4.1" )

  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  11. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  12. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  14. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  17. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  18. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  19. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  20. def fit(dataset: Dataset[_]): OneVsRestModel

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    Definition Classes
    OneVsRest → Estimator
    Annotations
    @Since( "2.0.0" )

  21. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[OneVsRestModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  22. def fit(dataset: Dataset[_], paramMap: ParamMap): OneVsRestModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  23. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): OneVsRestModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

  24. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  25. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  26. def getClassifier: ClassifierType

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    Definition Classes
    OneVsRestParams

  27. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  28. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  29. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  30. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  31. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  32. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  33. final def getProbabilityCol: String

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    Definition Classes
    HasProbabilityCol

  34. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  35. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  36. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  37. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  39. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  40. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  41. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  42. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  43. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  44. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  45. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logDebug(msg: ⇒ String): Unit

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    Definition Classes
    Logging

  47. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
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    Definition Classes
    Logging

  48. def logError(msg: ⇒ String): Unit

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    Logging

  49. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
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    Logging

  50. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  51. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  53. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  54. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  55. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  56. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  57. final def notify(): Unit

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    Definition Classes
    AnyRef

  58. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  59. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  60. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  61. final val probabilityCol: Param[String]

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    Definition Classes
    HasProbabilityCol

  62. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  63. final def set(paramPair: ParamPair[_]): OneVsRest.this.type

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    Attributes
    protected
    Definition Classes
    Params

  64. final def set(param: String, value: Any): OneVsRest.this.type

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    Attributes
    protected
    Definition Classes
    Params

  65. final def set[T](param: Param[T], value: T): OneVsRest.this.type

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    Definition Classes
    Params

  66. def setClassifier(value: Classifier[_, _, _]): OneVsRest.this.type

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    Annotations
    @Since( "1.4.0" )

  67. final def setDefault(paramPairs: ParamPair[_]*): OneVsRest.this.type

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    Attributes
    protected
    Definition Classes
    Params

  68. final def setDefault[T](param: Param[T], value: T): OneVsRest.this.type

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    Attributes
    protected
    Definition Classes
    Params

  69. def setFeaturesCol(value: String): OneVsRest.this.type

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    Annotations
    @Since( "1.5.0" )

  70. def setLabelCol(value: String): OneVsRest.this.type

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    Annotations
    @Since( "1.5.0" )

  71. def setPredictionCol(value: String): OneVsRest.this.type

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    Annotations
    @Since( "1.5.0" )

  72. def setProbabilityCol(value: String): OneVsRest.this.type

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    Annotations
    @Since( "2.0.0" )

  73. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  74. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  75. def transformSchema(schema: StructType): StructType

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    Definition Classes
    OneVsRest → PipelineStage
    Annotations
    @Since( "1.4.0" )

  76. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  77. val uid: String

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    Definition Classes
    OneVsRest → Identifiable
    Annotations
    @Since( "1.4.0" )

  78. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    PredictorParams

  79. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  80. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  81. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  82. def write: MLWriter

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    Definition Classes
    OneVsRest → MLWritable
    Annotations
    @Since( "2.0.0" )

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

Ungrouped