ml.combust.mleap.core.tree.loss

ClassificationLoss

trait ClassificationLoss extends Loss

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Loss, Serializable, Serializable, AnyRef, Any
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LogLoss
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  1. abstract def computeError(prediction: Double, label: Double): Double

    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.

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    Definition Classes
    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

    Computes the class probability given the margin.

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

    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

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Inherited from Loss

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