keystoneml.evaluation

BinaryClassifierEvaluator

object BinaryClassifierEvaluator extends Evaluator[Boolean, Boolean, BinaryClassificationMetrics] with Serializable

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Serializable, Serializable, Evaluator[Boolean, Boolean, BinaryClassificationMetrics], AnyRef, Any
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  1. final def !=(arg0: AnyRef): Boolean

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  10. def evaluate(predictions: RDD[Boolean], actuals: RDD[Boolean]): BinaryClassificationMetrics

    Calculates the contingency table and binary classification metrics for a binary classifier given predictions and truth labels

    Calculates the contingency table and binary classification metrics for a binary classifier given predictions and truth labels

    Similar to MLlib's org.apache.spark.mllib.evaluation.BinaryClassificationMetrics, but runs in one pass, but only contains metrics that can be calculated from the contingency table

    predictions

    An RDD[Boolean] containing the predictions

    actuals

    An RDD[Boolean] containing the true labels, must be zippable with predictions

    returns

    An evaluation.

    Definition Classes
    BinaryClassifierEvaluator → Evaluator

  11. def evaluate(predictions: PipelineDataset[Boolean], labels: PipelineDataset[Boolean]): BinaryClassificationMetrics

    Definition Classes
    Evaluator

  12. def evaluate(predictions: RDD[Boolean], labels: PipelineDataset[Boolean]): BinaryClassificationMetrics

    Definition Classes
    Evaluator

  13. def evaluate(predictions: PipelineDataset[Boolean], labels: RDD[Boolean]): BinaryClassificationMetrics

    Definition Classes
    Evaluator

  14. def finalize(): Unit

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Inherited from Serializable

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Inherited from Evaluator[Boolean, Boolean, BinaryClassificationMetrics]

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