{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import os\nimport random\nimport sys\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"SEED = 31\nTRIALS = 200\nTARGET = 'scalar_coupling_constant'\nPREDICTION = 'pred'","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def seed_everything(seed):\n    random.seed(seed)\n    os.environ['PYTHONHASHSEED'] = str(seed)\n    np.random.seed(seed)\n    \nseed_everything(SEED)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"files = [\n    f'../input/champs-scalar-coupling-lasso/submission.csv',\n    f'../input/champs-scalar-coupling-rf/submission.csv',\n    f'../input/champs-scalar-coupling-xgb/submission.csv',\n    f'../input/champs-scalar-coupling-lgb/submission.csv',\n    f'../input/champs-scalar-coupling-keras/submission.csv'\n]\n\nprint(f'len(files)={len(files)}')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def get_median(files):\n    outs = [pd.read_csv(f, index_col=0) for f in files]\n    concat_sub = pd.concat(outs, axis=1, sort=True)\n    preds = concat_sub.median(axis=1).values\n    return preds\n\n\npreds = get_median(files)\nprint(f'len(preds)={len(preds)}')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#submission = pd.DataFrame({'id': test_sets[0].index, 'scalar_coupling_constant': preds})\nsubmission = pd.read_csv(f'../input/champs-scalar-coupling/sample_submission.csv')\nsubmission['scalar_coupling_constant'] = preds\nsubmission.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission.to_csv('submission.csv', index=False)\nprint(os.listdir(\".\"))","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":1}