org.apache.spark.streamdm.classifiers.bayes

MultinomialNaiveBayesModel

class MultinomialNaiveBayesModel extends Model with Serializable

The Model used for the multinomial Naive Bayes. It contains the class statistics and the class feature statistics.

Linear Supertypes
Model, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. MultinomialNaiveBayesModel
  2. Model
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new MultinomialNaiveBayesModel(numClasses: Int, numFeatures: Int, laplaceSmoothingFactor: Int, classStatistics: Array[Double], classFeatureStatistics: Array[Array[Double]])

  2. new MultinomialNaiveBayesModel(numClasses: Int, numFeatures: Int, laplaceSmoothingFactor: Int)

Type Members

  1. type T = MultinomialNaiveBayesModel

    Definition Classes
    MultinomialNaiveBayesModel → Model

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. var classFeatureStatistics: Array[Array[Double]]

  8. var classStatistics: Array[Double]

  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 hashCode(): Int

    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  16. var isReady: Boolean

  17. val laplaceSmoothingFactor: Int

  18. var logConditionalProbability: Array[Array[Double]]

  19. var logNumberDocuments: Double

  20. var logNumberDocumentsOfClass: Double

  21. var logProbability: Array[Double]

  22. def merge(mod2: MultinomialNaiveBayesModel): MultinomialNaiveBayesModel

    Merge the statistics of another model into the current model.

    Merge the statistics of another model into the current model.

    mod2

    MultinomialNaiveBayesModel

    returns

    MultinomialNaiveBayesModel

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

    Definition Classes
    AnyRef

  24. final def notify(): Unit

    Definition Classes
    AnyRef

  25. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  26. val numClasses: Int

  27. val numFeatures: Int

  28. def predict(instance: Example): Double

    Predict the label of the Instance, given the current Model.

    Predict the label of the Instance, given the current Model.

    instance

    the Example which needs a class predicted

    returns

    a Double representing the class predicted

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

    Definition Classes
    AnyRef

  30. def toString(): String

    Definition Classes
    AnyRef → Any

  31. def update(instance: Example): MultinomialNaiveBayesModel

    Update the model, depending on the Instance given for training.

    Update the model, depending on the Instance given for training.

    returns

    the updated Model

    Definition Classes
    MultinomialNaiveBayesModel → Model

  32. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Model

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped