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io.citrine.lolo.stats.metrics

ClassificationMetrics

object ClassificationMetrics

Created by maxhutch on 12/28/16.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  8. def f1scores(predicted: Seq[Any], actual: Seq[Any]): Double
  9. def f1scores(predictedVsActual: Seq[(Vector[Any], Any, Any)]): Double

    Compute the weighted average f1 score across the labels

    Compute the weighted average f1 score across the labels

    predictedVsActual

    to evaluate

    returns

    the weighted average f1 score

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  14. def loss(predictedVsActual: Seq[(Vector[Any], Any, Any)]): Double

    Compute the loss on a scale from 0 (perfect model, f1 = 1.0) to infinity (f1 = 0, all predictions are incorrect)

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