:: Experimental :: Evaluator for binary classification, which expects two input columns: rawPrediction and label.
:: Experimental ::
The algorithm which is implemented in this object, instead, is an efficient and parallel implementation of the Silhouette using the cosine distance measure.
:: DeveloperApi :: Abstract class for evaluators that compute metrics from predictions.
:: Experimental :: Evaluator for multiclass classification, which expects two input columns: prediction and label.
:: Experimental :: Evaluator for regression, which expects two input columns: prediction and label.
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.