evaluation

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.

   :: Experimental :: Evaluator for binary classification, which expects two input columns: rawPrediction and label. The rawPrediction column can be of type double (binary 0/1 prediction, or probability of label 1) or of type vector (length-2 vector of raw predictions, scores, or label probabilities).

   Annotations

   @Since( "1.2.0" ) @Experimental()

2. abstract class Evaluator extends Params

   

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

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

   Annotations

   @Since( "1.5.0" ) @DeveloperApi()

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

   

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

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

   Annotations

   @Since( "1.5.0" ) @Experimental()

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

   

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

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

   Annotations

   @Since( "1.4.0" ) @Experimental()