experiment¶
-
class
cornac.experiment.
Experiment
(eval_strategy, models, metrics)[source]¶ Experiment Class
Parameters: - eval_strategy (EvaluationStrategy object, required) – The evaluation strategy (e.g., Split).
- models (array of objects Recommender, required) – A collection of recommender models to evaluate, e.g., [C2pf, Hpf, Pmf].
- metrics (array of object metrics, required) – A collection of metrics to use to evaluate the recommender models, e.g., [Ndcg, Mrr, Recall].
- average_result (DataFrame, default: None) – The average result per model.
- result_per_user (dictionary, default: {}) – Results per user for each model.