org.apache.spark.ml

evaluation

package evaluation

Visibility
  1. Public
  2. All

Type Members

  1. class BinaryClassificationEvaluator extends Evaluator with HasRawPredictionCol with HasLabelCol with DefaultParamsWritable

    :: Experimental :: Evaluator for binary classification, which expects two input columns: rawPrediction and label.

  2. abstract class Evaluator extends Params

    :: DeveloperApi :: Abstract class for evaluators that compute metrics from predictions.

  3. class MulticlassClassificationEvaluator extends Evaluator with HasPredictionCol with HasLabelCol with DefaultParamsWritable

    :: Experimental :: Evaluator for multiclass classification, which expects two input columns: score and label.

  4. final class RegressionEvaluator extends Evaluator with HasPredictionCol with HasLabelCol with DefaultParamsWritable

    :: Experimental :: Evaluator for regression, which expects two input columns: prediction and label.

Value Members

  1. object BinaryClassificationEvaluator extends DefaultParamsReadable[BinaryClassificationEvaluator] with Serializable

    Annotations
    @Since( "1.6.0" )
  2. object MulticlassClassificationEvaluator extends DefaultParamsReadable[MulticlassClassificationEvaluator] with Serializable

    Annotations
    @Since( "1.6.0" )
  3. object RegressionEvaluator extends DefaultParamsReadable[RegressionEvaluator] with Serializable

    Annotations
    @Since( "1.6.0" )

Members