ml_clustering_evaluator {sparklyr} | R Documentation |
Evaluator for clustering results. The metric computes the Silhouette measure using the squared Euclidean distance. 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.
ml_clustering_evaluator(x, features_col = "features", prediction_col = "prediction", metric_name = "silhouette", uid = random_string("clustering_evaluator_"), ...)
x |
A |
features_col |
Name of features column. |
prediction_col |
Name of the prediction column. |
metric_name |
The performance metric. Currently supports "silhouette". |
uid |
A character string used to uniquely identify the ML estimator. |
... |
Optional arguments; currently unused. |
The calculated performance metric