Mercurial > repos > bgruening > sklearn_numeric_clustering
diff search_model_validation.py @ 27:6edcaa8dbb9f draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
author | bgruening |
---|---|
date | Fri, 13 Sep 2019 12:27:50 -0400 |
parents | 37e193b3fdd7 |
children | 83938131dd46 |
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--- a/search_model_validation.py Fri Aug 09 07:10:13 2019 -0400 +++ b/search_model_validation.py Fri Sep 13 12:27:50 2019 -0400 @@ -213,6 +213,16 @@ with open(inputs, 'r') as param_handler: params = json.load(param_handler) + # conflict param checker + if params['outer_split']['split_mode'] == 'nested_cv' \ + and params['save'] != 'nope': + raise ValueError("Save best estimator is not possible for nested CV!") + + if not (params['search_schemes']['options']['refit']) \ + and params['save'] != 'nope': + raise ValueError("Save best estimator is not possible when refit " + "is False!") + params_builder = params['search_schemes']['search_params_builder'] with open(infile_estimator, 'rb') as estimator_handler: @@ -542,7 +552,6 @@ del main_est.validation_data if getattr(main_est, 'data_generator_', None): del main_est.data_generator_ - del main_est.data_batch_generator with open(outfile_object, 'wb') as output_handler: pickle.dump(best_estimator_, output_handler,