H2O Clustering Evaluator¶
Evaluator for Clustering, which expects two input columns: features and prediction.
Output¶
It outputs the silhouette score
Type¶
ml-evaluator
Class¶
fire.nodes.h2o.NodeH2OClusteringEvaluator
Fields¶
Name |
Title |
Description |
|---|---|---|
predictionCol |
Prediction Column |
The prediction column. |
metric |
Metric Column |
The distance metric to use for evaluating the clustering algorithm. This can be set to ‘cosine’, or ‘squaredEuclidean |
Details¶
Node H2O Clustering Evaluator Details:¶
Evaluator for Clustering , which expects three input columns: prediction,metric and label.
Input Parameters¶
OUTPUT STORAGE LEVEL : Keep this as DEFAULT.
Prediction Column : The prediction column created during model scoringThe name of the column containing predictions generated by the clustering algorithm..
Metric Column : The distance metric to use for evaluating the clustering algorithm. This can be set to ‘cosine’, ‘squaredEuclidean’.