io.prediction.e2.engine

CategoricalNaiveBayesModel

case class CategoricalNaiveBayesModel(priors: Map[String, Double], likelihoods: Map[String, Array[Map[String, Double]]]) extends Serializable with Product

Model for naive Bayes classifiers with categorical variables.

priors

log prior probabilities

likelihoods

log likelihood probabilities

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Instance Constructors

  1. new CategoricalNaiveBayesModel(priors: Map[String, Double], likelihoods: Map[String, Array[Map[String, Double]]])

    priors

    log prior probabilities

    likelihoods

    log likelihood probabilities

Value Members

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

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

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  3. final def ##(): Int

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    @throws( ... )

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

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  9. val featureCount: Int

  10. def finalize(): Unit

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

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  12. final def isInstanceOf[T0]: Boolean

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  13. val likelihoods: Map[String, Array[Map[String, Double]]]

    log likelihood probabilities

  14. def logScore(point: LabeledPoint, defaultLikelihood: (Seq[Double]) ⇒ Double = ls => Double.NegativeInfinity): Option[Double]

    Calculate the log score of having the given features and label

    Calculate the log score of having the given features and label

    point

    label and features

    defaultLikelihood

    a function that calculates the likelihood when a feature value is not present. The input to the function is the other feature value likelihoods.

    returns

    log score when label is present. None otherwise.

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def predict(features: Array[String]): String

    Return the label that yields the highest score

    Return the label that yields the highest score

    features

    features for classification

  19. val priors: Map[String, Double]

    log prior probabilities

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

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  21. final def wait(): Unit

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

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

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