scalation.analytics

NaiveBayesInt

object NaiveBayesInt

NaiveBayesInt is the companion object for the NaiveBayesInt class.

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

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  2. final def ##(): Int

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

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  4. def apply(xy: MatrixI, fn: Array[String], k: Int, cn: Array[String], vc: VectorI = null, me: Int = 3): NaiveBayesInt

    Create a 'NaiveBayesInt object, passing 'x' and 'y' together in one table.

    Create a 'NaiveBayesInt object, passing 'x' and 'y' together in one table.

    xy

    the data vectors along with their classifications stored as rows of a matrix

    fn

    the names of the features

    k

    the number of classes

    vc

    the value count (number of distinct values) for each feature

    me

    use m-estimates (me == 0 => regular MLE estimates)

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