nak.core

ClassifierUtil

object ClassifierUtil

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

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  11. def getAllOutcomes(model: LinearModel, ocs: Array[Double]): String

    Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.

    Return a string matching all the outcome names with all the probabilities produced by the eval(String[] context) method.

    ocs

    A double[] as returned by the eval(String[] context) method.

    returns

    String containing outcome names paired with the normalized probability (contained in the double[] ocs) for each one.

  12. def getBestOutcome(model: LinearModel, ocs: Array[Double]): String

    Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.

    Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.

    ocs

    A double[] as returned by the eval(String[] context) method.

    returns

    The name of the most likely outcome.

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

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

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