ml.combust.mleap.core.classification

OneVsRestModel

case class OneVsRestModel(classifiers: Array[ProbabilisticClassificationModel], numFeatures: Int) extends Model with Product with Serializable

Class for multinomial one vs rest models.

One vs rest models are comprised of a series of ProbabilisticClassificationModels which are used to predict each class.

classifiers

binary classification models

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Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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Instance Constructors

  1. new OneVsRestModel(classifiers: Array[ProbabilisticClassificationModel], numFeatures: Int)

    classifiers

    binary classification models

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 ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. def apply(features: Vector): Double

    Alias for ml.combust.mleap.core.classification.OneVsRestModel#predict.

    Alias for ml.combust.mleap.core.classification.OneVsRestModel#predict.

    features

    feature vector

    returns

    prediction

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. val classifiers: Array[ProbabilisticClassificationModel]

    binary classification models

  9. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. def inputSchema: StructType

    Definition Classes
    OneVsRestModel → Model

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  18. val numFeatures: Int

  19. def outputSchema: StructType

    Definition Classes
    OneVsRestModel → Model

  20. def predict(features: Vector): Double

    Predict the class for a feature vector.

    Predict the class for a feature vector.

    features

    feature vector

    returns

    predicted class

  21. def predictProbability(features: Vector): Double

  22. def predictWithProbability(features: Vector): (Double, Double)

    Predict the class and probability for a feature vector.

    Predict the class and probability for a feature vector.

    features

    feature vector

    returns

    (predicted class, probability of class)

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

    Definition Classes
    AnyRef

  24. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
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    @throws( ... )

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

    Definition Classes
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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

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