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. class ClusteringEvaluator extends Evaluator with HasPredictionCol with HasFeaturesCol with DefaultParamsWritable

   

   :: Experimental ::

   :: Experimental ::

   Evaluator for clustering results. The metric computes the Silhouette measure using the specified distance measure.

   The Silhouette is a measure for the validation of the consistency within clusters. It ranges between 1 and -1, where a value close to 1 means that the points in a cluster are close to the other points in the same cluster and far from the points of the other clusters.

   Annotations

   @Experimental() @Since( "2.3.0" )

3. 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()

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

   

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

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

   Annotations

   @Since( "1.5.0" ) @Experimental()

5. 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()