An evaluation provides an easy way to measure the performance of a predictive model. To create a new evaluation you need a model/id or an ensemble/id and a dataset/id. The complete and updated reference with all available parameters is in our documentation website.
Inheritance: Response
Evaluation Class Documentation
Beispiel #1
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 /// <summary>
 /// Create an Ensemble.
 /// </summary>
 /// <param name="dataset">A DataSet instance</param>
 /// <param name="name">The name you want to give to the new evaluation. </param>
 /// <param name="arguments">Specifies the id of the model or ensemble that you want to evaluate.</param>
 public Task<Evaluation> CreateEvaluation(DataSet dataset, string name = null,
                                     Evaluation.Arguments arguments = null)
 {
     arguments = arguments ?? new Evaluation.Arguments();
     if (!string.IsNullOrWhiteSpace(name))
         arguments.Name = name;
     arguments.DataSet = dataset.Resource;
     return Create<Evaluation>(arguments);
 }
Beispiel #2
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 /// <summary>
 /// Create an evaluation using supplied arguments.
 /// </summary>
 public Task<Evaluation> CreateEvaluation(Evaluation.Arguments arguments)
 {
     return Create<Evaluation>(arguments);
 }