{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"_kg_hide-output":false},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input\"))\n\nprint(os.listdir('../input/ourpathtowherewearenewparams'))\nprint(os.listdir(\"../input/ourpathtowhereweare\"))\nprint(os.listdir(\"../input/sixdeepourpathtowherewearenewparams\"))\nprint(os.listdir(\"../input/depthfourourpathtowherewearenewparams\"))\n\nprint(os.listdir(\"../input/xgb-from-ideas-from-kernels-and-discussion\"))\nprint(os.listdir(\"../input/smote-on-lgbm-w-ideas-from-kernels-and-discussion\"))\nprint(os.listdir(\"../input/trypredictingallatoncenn71\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"2f204a8e0330f691feeb49843833f3770bbad23a"},"cell_type":"markdown","source":"# Load best score submission files from public kernels"},{"metadata":{"trusted":true,"_uuid":"6f322862b0e993099a71ff02e33dbbc54b70ee76"},"cell_type":"code","source":"dfparam = pd.read_csv(\"../input/ourpathtowherewearenewparams/subm_0.610175_2018-12-07-23-29.csv\")\ndforig = pd.read_csv(\"../input/ourpathtowhereweare/subm_0.619987_2018-12-06-19-58.csv\")\ndfsix = pd.read_csv(\"../input/sixdeepourpathtowherewearenewparams/subm_0.613687_2018-12-07-04-17.csv\")\ndffour = pd.read_csv(\"../input/depthfourourpathtowherewearenewparams/subm_0.615926_2018-12-07-16-59.csv\")\n\ndfxgb= pd.read_csv(\"../input/xgb-from-ideas-from-kernels-and-discussion/single_subm_0.671072_XGB_2018-11-21-14-24.csv\")\ndfsm = pd.read_csv(\"../input/smote-on-lgbm-w-ideas-from-kernels-and-discussion/single_subm_0.751366_2018-12-10-14-48.csv\")\ndfnn = pd.read_csv(\"../input/trypredictingallatoncenn71/subm_0.639462_2018-12-10-23-23.csv\")\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"55d72cf932012c2429784701562b63226a0a2f60"},"cell_type":"code","source":"df_blend = .3*dfparam + .075*(dforig+dfsix+dffour) + .2 * (dfxgb + dfnn)\ndf_blend['object_id']=dfsm['object_id']\ndf_blend.to_csv('blend_submission.csv',index=False)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"14175e17f21533f808a164dfe892a8e9f0c861d9"},"cell_type":"markdown","source":"d# save submission"}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}