{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nfrom sklearn.model_selection import GroupKFold, StratifiedKFold\nimport pickle","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"train = pd.read_csv('../input/cassava-leaf-disease-classification/train.csv')\ntrain.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"folds = StratifiedKFold(n_splits=5).split(np.arange(train.shape[0]), train.label.values)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"for fold, (trn_idx, val_idx) in enumerate(folds):\n    with open(f'fold{fold}_train_idx.pickle', 'wb') as handle:\n        pickle.dump(trn_idx, handle, protocol=pickle.HIGHEST_PROTOCOL)\n    with open(f'fold{fold}_val_idx.pickle', 'wb') as handle:\n        pickle.dump(val_idx, handle, protocol=pickle.HIGHEST_PROTOCOL)","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}