{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Ensembling different models into one prediction\n\nYou can ensemble different results into one prediction (not as multimodal submission). Also, you can further ensemble with other predictions as multimodal submission.","execution_count":null},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"## Environment ready\nimport os, sys\nimport pandas as pd\nimport numpy as np","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"sub0 = pd.read_csv('../input/lyftsubmission/Res50Base_model_0_submission.csv')\nsub1 = pd.read_csv('../input/lyftsubmission/Res50Base_model_1_submission.csv')\nsub2 = pd.read_csv('../input/lyftsubmission/Res50Base_model_2_submission.csv')\nsub3 = pd.read_csv('../input/lyftsubmission/Res18Base_model0_submission.csv')\ncols = list(sub0.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":"## Averaging prediction as ensemble\npred0 = sub0[conf0].values\npred1 = sub1[conf0].values\npred2 = sub2[conf0].values\npred3 = sub3[conf0].values\n\npred_ensemble = (pred0 + pred1 + pred2 + pred3) / 4","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub0[conf0] = pred_ensemble","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub0.to_csv('submission.csv', index=False, float_format='%.6g') ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","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}