{"push_id":1986418621,"size":1,"distinct_size":1,"ref":"refs/heads/support_more_models_feature_importance","head":"ac9b58513d00797a5ca4672a959bc804bac8060a","before":"e142ac0fc5900666139a259a793b74db13f88eb0","commits":[{"sha":"ac9b58513d00797a5ca4672a959bc804bac8060a","author":{"name":"Hannes","email":"c4442234c9f6cabc446a21fc932d2568b6dea21a@uchicago.edu"},"message":"Support dummy classifier and linear kernel SVC\n\nCurrently, catwalk does not support sklearn's DummyClassifier because it does not have feature importances. This PR changes that by writing a row with the feature 'Algorithm does not support a standard way to calculate feature importance.' to the feature_importances table whenever we were not able to find feature importances.\nFor SVCs with linear kernel it also uses the coef_ attribute to get feature importances.","distinct":true,"url":"https://api.github.com/repos/dssg/catwalk/commits/ac9b58513d00797a5ca4672a959bc804bac8060a"}]}
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