IUM_10

dvc.lock

@@ -0,0 +1,94 @@
+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

dvc.yaml

@@ -0,0 +1,35 @@
+stages:
+  prepare_data:
+    cmd: python ./create-dataset.py
+    deps:
+      - create-dataset.py
+      - creditcard.csv
+    outs:
+      - data/creditcard.csv
+      - data/X_train.csv
+      - data/X_val.csv
+      - data/X_test.csv
+      - data/y_train.csv
+      - data/y_val.csv
+      - data/y_test.csv
+
+  train_model:
+    cmd: python ./train_model.py
+    deps:
+      - train_model.py
+      - data/X_train.csv
+      - data/X_val.csv
+      - data/y_train.csv
+      - data/y_val.csv
+    outs:
+      - model/model.keras
+
+  evaluate_model:
+    cmd: python ./predict.py
+    deps:
+      - predict.py
+      - model/model.keras
+      - data/X_test.csv
+      - data/y_test.csv
+    outs:
+      - data/y_pred.csv