{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Multi Model Ensemble of the three top public scores\n\n[https://www.kaggle.com/pestipeti/pytorch-baseline-inference](https://www.kaggle.com/pestipeti/pytorch-baseline-inference)\n\n[https://www.kaggle.com/ryches/lyft-constant-velocity-extrapolation-baseline](https://www.kaggle.com/ryches/lyft-constant-velocity-extrapolation-baseline)\n\n[https://www.kaggle.com/kneroma/lgbm-on-lyft-tabular-data-inference](https://www.kaggle.com/kneroma/lgbm-on-lyft-tabular-data-inference)\n\n### Acknowledgments to the creators!","execution_count":null},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import 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":{"trusted":true},"cell_type":"code","source":"multisub = pd.read_csv('../input/lyft-motion-prediction-autonomous-vehicles/multi_mode_sample_submission.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"cols = list(multisub.columns)\nconfs = cols[2:5]\nconf0 = cols[5:105]\nconf1 = cols[105:205]\nconf2 = cols[205:305]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!ls ../input","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub0 = pd.read_csv('../input/pytorch-baseline-inference/submission.csv')\nsub1 = pd.read_csv('../input/lyft-constant-velocity-extrapolation-baseline/submission.csv')\nsub2 = pd.read_csv('../input/lgbm-on-lyft-tabular-data-inference/submission.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"multisub[confs] = [.5,.2,.3]\nmultisub[conf0] = sub0[conf0]\nmultisub[conf1] = sub1[conf0]\nmultisub[conf2] = sub2[conf0]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"multisub","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"multisub.to_csv('submission.csv', index=False, float_format='%.6g') \n# This float_format reduces the size of submission.csv","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":4}