org.apache.mahout.classifier.naivebayes

ComplementaryNBClassifier

class ComplementaryNBClassifier extends AbstractNBClassifier with Serializable

Complementary Naive Bayes Classifier

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AbstractNBClassifier, Serializable, AnyRef, Any
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  1. ComplementaryNBClassifier
  2. AbstractNBClassifier
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Instance Constructors

  1. new ComplementaryNBClassifier(nbModel: NBModel)

    nbModel

    a trained NBModel

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def classifyFull(r: Vector, instance: Vector): Vector

    helper method for classifyFull(Vector)

    helper method for classifyFull(Vector)

    Definition Classes
    AbstractNBClassifier
  8. def classifyFull(instance: Vector): Vector

    get a scoring vector for a vector of TF of TF-IDF weights

    get a scoring vector for a vector of TF of TF-IDF weights

    instance

    vector of TF of TF-IDF weights to be classified

    returns

    a vector of scores.

    Definition Classes
    AbstractNBClassifier
  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 equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  14. def getModel: NBModel

    getter for model

    getter for model

    Attributes
    protected
    Definition Classes
    AbstractNBClassifier
  15. def getScoreForLabelFeature(label: Int, feature: Int): Double

    scoring method for standard and complementary classifiers

    scoring method for standard and complementary classifiers

    Definition Classes
    ComplementaryNBClassifierAbstractNBClassifier
  16. def getScoreForLabelInstance(label: Int, instance: Vector): Double

    Compute the score for a Vector of weighted TF-IDF featured

    Compute the score for a Vector of weighted TF-IDF featured

    label

    Label to be scored

    instance

    Vector of weights to be calculate score

    returns

    score for this Label

    Attributes
    protected
    Definition Classes
    AbstractNBClassifier
  17. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  19. val model: NBModel

    Definition Classes
    AbstractNBClassifier
  20. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  21. final def notify(): Unit

    Definition Classes
    AnyRef
  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  23. def numCategories: Int

    number of categories the model has been trained on

    number of categories the model has been trained on

    Definition Classes
    AbstractNBClassifier
  24. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  25. def toString(): String

    Definition Classes
    AnyRef → Any
  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AbstractNBClassifier

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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