Package

ml.combust.mleap.core.tree

loss

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package loss

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Type Members

  1. trait ClassificationLoss extends Loss

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  2. trait Loss extends Serializable

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    @SparkCode()

Value Members

  1. object LogLoss extends ClassificationLoss

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    Class for log loss calculation (for classification).

    Class for log loss calculation (for classification). This uses twice the binomial negative log likelihood, called "deviance" in Friedman (1999).

    The log loss is defined as: 2 log(1 + exp(-2 y F(x))) where y is a label in {-1, 1} and F(x) is the model prediction for features x.

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    @SparkCode()

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