{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"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\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"human_labels = pd.read_csv('../input/train_human_labels.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"fe07786301acaaaab50156c8b91fee5bd4d31005"},"cell_type":"code","source":"# human_labels.head()\ntopN = human_labels.LabelName.value_counts()[:5].index.tolist()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"03be5a3f9bebde08964e5c3845de0ceed0b3a51d"},"cell_type":"code","source":"topN","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"5b558be4562b48e42d94792d4cb07083071cb1cc"},"cell_type":"code","source":"submission = pd.read_csv('../input/stage_1_sample_submission.csv')\nsubmission.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"c1391d0e173ed99feb803c4a3ee91164997fbc4e"},"cell_type":"code","source":"images = submission.image_id.tolist()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"3fd46db55cc39a3e158a4faa552dd6fce4ff0d93"},"cell_type":"code","source":"results = [(i, \" \".join(topN)) for i in images]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"23431cef90ab6693d586ec5f9d1551039d09dfbd"},"cell_type":"code","source":"results_df = pd.DataFrame(results, columns=['image_id', 'labels'])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"410af57562559a04b0d16e07fb88f098bd3be3cc"},"cell_type":"code","source":"results_df.to_csv('naive_baseline.csv', index=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"366336f28ba9e819de0d226efb0fff874a4231ac"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"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}