H2O Clustering Evaluator
===========

Evaluator for Clustering, which expects two input columns: features and prediction.

Output
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It outputs the silhouette score 

Type
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ml-evaluator

Class
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fire.nodes.h2o.NodeH2OClusteringEvaluator

Fields
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.. list-table::
      :widths: 10 5 10
      :header-rows: 1

      * - 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
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Node H2O Clustering Evaluator Details:
+++++++++++++++


Evaluator for Clustering , which expects three input columns: prediction,metric and label.



Input Parameters
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* 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'.