Mercurial > repos > bgruening > sklearn_stacking_ensemble_models

comparison stacking_ensembles.py @ 5:8b5b653ba1ed draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
author bgruening
date Fri, 01 Nov 2019 17:06:06 -0400
parents 17f173a4a745
children b8c92e94ac1d
comparison
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4:17f173a4a745 5:8b5b653ba1ed
80 # set n_jobs 80 # set n_jobs
81 options['n_jobs'] = N_JOBS 81 options['n_jobs'] = N_JOBS
82 82
83 weights = options.pop('weights', None) 83 weights = options.pop('weights', None)
84 if weights: 84 if weights:
85 options['weights'] = ast.literal_eval(weights) 85 weights = ast.literal_eval(weights)
86 if weights:
87 options['weights'] = weights
86 88
87 mod_and_name = estimator_type.split('_') 89 mod_and_name = estimator_type.split('_')
88 mod = sys.modules[mod_and_name[0]] 90 mod = sys.modules[mod_and_name[0]]
89 klass = getattr(mod, mod_and_name[1]) 91 klass = getattr(mod, mod_and_name[1])
90 92