| Class | Description |
|---|---|
| BinaryClassificationEvaluator |
:: Experimental ::
Evaluator for binary classification, which expects two input columns: rawPrediction and label.
|
| ClusteringEvaluator |
:: Experimental ::
|
| CosineSilhouette |
The algorithm which is implemented in this object, instead, is an efficient and parallel
implementation of the Silhouette using the cosine distance measure.
|
| Evaluator |
:: DeveloperApi ::
Abstract class for evaluators that compute metrics from predictions.
|
| MulticlassClassificationEvaluator |
:: Experimental ::
Evaluator for multiclass classification, which expects two input columns: prediction and label.
|
| RegressionEvaluator |
:: Experimental ::
Evaluator for regression, which expects two input columns: prediction and label.
|
| SquaredEuclideanSilhouette |
SquaredEuclideanSilhouette computes the average of the
Silhouette over all the data of the dataset, which is
a measure of how appropriately the data have been clustered.
|
| SquaredEuclideanSilhouette.ClusterStats | |
| SquaredEuclideanSilhouette.ClusterStats$ |