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tries to work around sklearn-deap issue of blank .cv_results_
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auto_ml/predictor.py

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@@ -1019,7 +1019,7 @@ def fit_grid_search(self, X_df, y, gs_params, feature_learning=False, refit=Fals
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if os.environ.get('is_test_suite', 0) == 'True':
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n_jobs = 1
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population_size = 5
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population_size = 6
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generations_number = 1
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# LightGBM doesn't appear to play well when fighting for CPU cycles with other things

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