schema: '2.0' stages: prepare_data: cmd: python ./create-dataset.py deps: - path: create-dataset.py hash: md5 md5: 0903460139f5b57b9759f4de37b2d5e4 size: 1531 - path: creditcard.csv hash: md5 md5: e90efcb83d69faf99fcab8b0255024de size: 150828752 outs: - path: data/X_test.csv hash: md5 md5: 46ff52696af9a4c06f6b25639525dda6 size: 30947960 - path: data/X_train.csv hash: md5 md5: 7505524c54858300bbd92094092a6c39 size: 92838653 - path: data/X_val.csv hash: md5 md5: 4d078882cc1898640ddaf4ad9117f543 size: 30946540 - path: data/creditcard.csv hash: md5 md5: 4b81435690147d1e624a8b06c5520629 size: 155302541 - path: data/y_test.csv hash: md5 md5: a6bc4827feae19934c4021d1f10f5963 size: 170893 - path: data/y_train.csv hash: md5 md5: 8112a5cf4faac882c421bcb7e3d42044 size: 512656 - path: data/y_val.csv hash: md5 md5: 1155f648650986d8866eba603b86560c size: 170893 train_model: cmd: python ./train_model.py deps: - path: data/X_train.csv hash: md5 md5: 7505524c54858300bbd92094092a6c39 size: 92838653 - path: data/X_val.csv hash: md5 md5: 4d078882cc1898640ddaf4ad9117f543 size: 30946540 - path: data/y_train.csv hash: md5 md5: 8112a5cf4faac882c421bcb7e3d42044 size: 512656 - path: data/y_val.csv hash: md5 md5: 1155f648650986d8866eba603b86560c size: 170893 - path: train_model.py hash: md5 md5: 00b8bac043f4d7a56dec95f2f1bb1b49 size: 1540 outs: - path: model/model.keras hash: md5 md5: 1d1df55ad26a8c0689efa4a86a86c217 size: 1476738 evaluate_model: cmd: python ./predict.py deps: - path: data/X_test.csv hash: md5 md5: 46ff52696af9a4c06f6b25639525dda6 size: 30947960 - path: data/y_test.csv hash: md5 md5: a6bc4827feae19934c4021d1f10f5963 size: 170893 - path: model/model.keras hash: md5 md5: 1d1df55ad26a8c0689efa4a86a86c217 size: 1476738 - path: predict.py hash: md5 md5: a61388aabf381779b38e2f32a4d0df7b size: 660 outs: - path: data/y_pred.csv hash: md5 md5: be150c2fbf1914102b479edbe0a4cf43 size: 1481012