{"cells":[{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","collapsed":true,"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":false},"cell_type":"markdown","source":"# Ensembling of previous Submission files"},{"metadata":{"trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport os","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def read_testset(filename=\"../input/rsna-intracranial-hemorrhage-detection/rsna-intracranial-hemorrhage-detection/stage_2_sample_submission.csv\"):\n    df = pd.read_csv(filename)\n    df[\"Image\"] = df[\"ID\"].str.slice(stop=12)\n    df[\"Diagnosis\"] = df[\"ID\"].str.slice(start=13)\n    \n    df = df.loc[:, [\"Label\", \"Diagnosis\", \"Image\"]]\n    df = df.set_index(['Image', 'Diagnosis']).unstack(level=-1)\n    \n    return df\n    \ntest_df = read_testset()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_df.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# EfficientNetB0\ny_pred1 = np.load('../input/ensembling-of-models/y_pred1.npy')\n\n# InceptionV3\ny_pred2 = np.load('../input/ensembling-of-models/y_pred2.npy')\n\n# EfficientNetB3\ny_pred3 = np.load('../input/ensembling-of-models/y_pred3.npy')\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y_pred1.shape, y_pred2.shape, y_pred3.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"y_test = np.mean([y_pred1,y_pred2,y_pred3], axis = 0)\n\nprint(y_test.shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_df.iloc[:, :] = y_test\n\ntest_df = test_df.stack().reset_index()\n\ntest_df.insert(loc=0, column='ID', value=test_df['Image'].astype(str) + \"_\" + test_df['Diagnosis'])\n\ntest_df = test_df.drop([\"Image\", \"Diagnosis\"], axis=1)\n\ntest_df.to_csv('submission.csv', index=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_df.head()","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":1}