org.apache.spark.ml.mleap.classification

OneVsRest

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
Ordering
  1. Alphabetic
  2. By inheritance
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
  1. Hide All
  2. Show all
Learn more about member selection
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: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. 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

  9. final def clear(param: Param[_]): OneVsRest.this.type

    Definition Classes
    Params

  10. def clone(): AnyRef

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

  11. def copy(extra: ParamMap): OneVsRest

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

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  17. def explainParams(): String

    Definition Classes
    Params

  18. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  20. final val featuresCol: Param[String]

    Definition Classes
    HasFeaturesCol

  21. def finalize(): Unit

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

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

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

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

    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

  28. def getClassifier: ClassifierType

    Definition Classes
    OneVsRestParams

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

    Definition Classes
    Params

  30. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol

  31. final def getLabelCol: String

    Definition Classes
    HasLabelCol

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  34. final def getPredictionCol: String

    Definition Classes
    HasPredictionCol

  35. final def getProbabilityCol: String

    Definition Classes
    HasProbabilityCol

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

    Definition Classes
    Params

  37. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  38. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  39. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    Params

  41. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  43. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  44. final val labelCol: Param[String]

    Definition Classes
    HasLabelCol

  45. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  52. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    AnyRef

  58. final def notify(): Unit

    Definition Classes
    AnyRef

  59. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

  61. final val predictionCol: Param[String]

    Definition Classes
    HasPredictionCol

  62. final val probabilityCol: Param[String]

    Definition Classes
    HasProbabilityCol

  63. def save(path: String): Unit

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

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Annotations
    @Since( "1.4.0" )

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Annotations
    @Since( "1.5.0" )

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

    Annotations
    @Since( "1.5.0" )

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

    Annotations
    @Since( "1.5.0" )

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

    Annotations
    @Since( "2.0.0" )

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

    Definition Classes
    AnyRef

  75. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  76. def transformSchema(schema: StructType): StructType

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

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  78. val uid: String

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

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

    Attributes
    protected
    Definition Classes
    PredictorParams

  80. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  83. def write: MLWriter

    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