{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"\nimport os\nimport csv\nimport random\nimport pandas as pd\n\nTRAIN_FILEPATH =\"../input/train_curated.csv\"\nTEST_FOLDER = \"../input/test\"\n","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"def get_classes():\n    data = pd.read_csv(TRAIN_FILEPATH)\n    labels = set()\n    for labels_per_example in data[\"labels\"].tolist():\n        for label in labels_per_example.split(\",\"):\n            labels.add(label)\n\n    labels_list = list(labels)\n    labels_list.sort()\n    return labels_list\n\n\ndef discover_test_filenames(datadir):\n    for root, dirs, files in os.walk(datadir):\n        for filename in files:\n            yield os.path.join(datadir, filename), filename\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"\nlabels = get_classes()\n\n\nwith open('submission.csv', 'w') as csvfile:\n    filewriter = csv.writer(csvfile)\n    filewriter.writerow(['fname'] + labels)\n\n    for full_filename, filename in discover_test_filenames(TEST_FOLDER):\n        row = [filename]\n        for label in labels:\n            row.append(random.uniform(0, 1))\n        filewriter.writerow(row)\n","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}