NaiveBayesModel

Value Members

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

   Definition Classes

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

   Definition Classes

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3. final def ##(): Int

   Definition Classes

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

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

   Definition Classes

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6. def apply(features: Vector): Double

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

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

   features

   feature vector

   returns

   prediction

   Definition Classes

   ClassificationModel

7. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

8. def clone(): AnyRef

   Attributes

   protected[java.lang]

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

   Definition Classes

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10. def finalize(): Unit

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    protected[java.lang]

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

    Definition Classes

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12. final def isInstanceOf[T0]: Boolean

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13. val modelType: ModelType

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

    Definition Classes

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15. final def notify(): Unit

    Definition Classes

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16. final def notifyAll(): Unit

    Definition Classes

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17. val numClasses: Int

    number of labels or labels to classify predictions into

    number of labels or labels to classify predictions into

    Definition Classes

    NaiveBayesModel → ProbabilisticClassificationModel

18. val numFeatures: Int

    number of features in feature vector

19. val pi: Vector

    log of class priors

20. def predict(features: Vector): Double

    Predict class based on feature vector.

    Predict class based on feature vector.

    features

    feature vector

    returns

    predicted class or probability

    Definition Classes

    ProbabilisticClassificationModel → ClassificationModel

21. def predictProbabilities(features: Vector): Vector

    Definition Classes

    ProbabilisticClassificationModel

22. def predictRaw(raw: Vector): Vector

    Definition Classes

    NaiveBayesModel → ProbabilisticClassificationModel

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

    Definition Classes

    ProbabilisticClassificationModel

24. def probabilityToPrediction(probability: Vector): Double

    Definition Classes

    ProbabilisticClassificationModel

25. def rawToPrediction(raw: Vector): Double

    Definition Classes

    ProbabilisticClassificationModel

26. def rawToProbability(raw: Vector): Vector

    Definition Classes

    ProbabilisticClassificationModel

27. def rawToProbabilityInPlace(raw: Vector): Vector

    Definition Classes

    NaiveBayesModel → ProbabilisticClassificationModel

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

    Definition Classes

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29. val theta: Matrix

    log of class conditional probabilities

30. def thresholds: Option[Array[Double]]

    Definition Classes

    ProbabilisticClassificationModel

31. final def wait(): Unit

    Definition Classes

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

    Definition Classes

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

    Definition Classes

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