Trait

ml.combust.mleap.core.tree.loss

ClassificationLoss

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trait ClassificationLoss extends Loss

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Loss, Serializable, Serializable, AnyRef, Any
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LogLoss
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Abstract Value Members

  1. abstract def computeError(prediction: Double, label: Double): Double

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    Method to calculate loss when the predictions are already known.

    Method to calculate loss when the predictions are already known.

    prediction

    Predicted label.

    label

    True label.

    returns

    Measure of model error on datapoint.

    Attributes
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    Loss
    Note

    This method is used in the method evaluateEachIteration to avoid recomputing the predicted values from previously fit trees.

  2. abstract def computeProbability(margin: Double): Double

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    Computes the class probability given the margin.

  3. abstract def gradient(prediction: Double, label: Double): Double

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    Method to calculate the gradients for the gradient boosting calculation.

    Method to calculate the gradients for the gradient boosting calculation.

    prediction

    Predicted feature

    label

    True label.

    returns

    Loss gradient.

    Definition Classes
    Loss

Concrete Value Members

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

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  2. final def ##(): Int

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Inherited from Loss

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