MLOPS_PROJECT/dvc.lock at main · Code-AldreySandre/MLOPS_PROJECT · GitHub

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schema: '2.0'
stages:
  load_data:
    cmd: poetry run python src/DataLoading/load_data.py
    deps:
    - path: src/DataLoading/load_data.py
      hash: md5
      md5: eadd9a6c42a61aadbb1904765cc36349
      size: 1798
    outs:
    - path: data/raw/raw.csv
      hash: md5
      md5: e1b6054b415ad8448f25838a532bfb3e
      size: 116187
  preprocess_data:
    cmd: poetry run python src/DataPreprocessing/preprocess_data.py
    deps:
    - path: data/raw/raw.csv
      hash: md5
      md5: e1b6054b415ad8448f25838a532bfb3e
      size: 116187
    - path: params.yaml
      hash: md5
      md5: 48943c973cdd223e09e8c6bf85855a62
      size: 209
    - path: src/DataPreprocessing/preprocess_data.py
      hash: md5
      md5: cc2fc677d079c0e6c08f6eb0e3af4f1e
      size: 4219
    outs:
    - path: artifacts/features_mean_imputer.joblib
      hash: md5
      md5: be1f5fd6efd184f3f71f4c9ac91ee395
      size: 1511
    - path: data/preprocessed/test_preprocessed.csv
      hash: md5
      md5: 59ca479e3d5a2d7523846f3d7286587d
      size: 26772
    - path: data/preprocessed/train_preprocessed.csv
      hash: md5
      md5: 5b2ff68c742d023a1558de4ee086edbe
      size: 105868
  engineer_features:
    cmd: poetry run python src/FeatureEnginnering/engineer_features.py
    deps:
    - path: data/preprocessed/test_preprocessed.csv
      hash: md5
      md5: 59ca479e3d5a2d7523846f3d7286587d
      size: 26772
    - path: data/preprocessed/train_preprocessed.csv
      hash: md5
      md5: 5b2ff68c742d023a1558de4ee086edbe
      size: 105868
    - path: src/FeatureEnginnering/engineer_features.py
      hash: md5
      md5: 5696dd528df53c0a7934c169a9929f08
      size: 3070
    outs:
    - path: artifacts/features_scaler.joblib
      hash: md5
      md5: 08649a16101e874d53daafa8550a1ffc
      size: 2135
    - path: data/processed/test_processed.csv
      hash: md5
      md5: 12561c5b032dcf9f9590049d2c46acc2
      size: 67471
    - path: data/processed/train_processed.csv
      hash: md5
      md5: baf1147e6413557de24174efa11f0ff8
      size: 267794
  train_model:
    cmd: poetry run python src/ModelTraining/train_model.py
    deps:
    - path: data/processed/train_processed.csv
      hash: md5
      md5: baf1147e6413557de24174efa11f0ff8
      size: 267794
    - path: params.yaml
      hash: md5
      md5: 48943c973cdd223e09e8c6bf85855a62
      size: 209
    - path: src/ModelTraining/train_model.py
      hash: md5
      md5: 163fe9fed5b5c2978145380b7eb560f3
      size: 7962
    outs:
    - path: artifacts/[target]_one_hot_encoder.joblib
      hash: md5
      md5: 9c68e41a114fdb0985121e8d89f055bc
      size: 617
    - path: metrics/training.json
      hash: md5
      md5: 626406b9074714d072842449ad73ffef
      size: 141
    - path: models/model.keras
      hash: md5
      md5: 69990c3c6a3875cdf6098d29c042c711
      size: 79417
  evaluate_model:
    cmd: poetry run python src/ModelEvaluation/evaluate_model.py
    deps:
    - path: artifacts/[target]_one_hot_encoder.joblib
      hash: md5
      md5: 9c68e41a114fdb0985121e8d89f055bc
      size: 617
    - path: data/processed/test_processed.csv
      hash: md5
      md5: 12561c5b032dcf9f9590049d2c46acc2
      size: 67471
    - path: models/model.keras
      hash: md5
      md5: 69990c3c6a3875cdf6098d29c042c711
      size: 79417
    - path: src/ModelEvaluation/evaluate_model.py
      hash: md5
      md5: f11083d0de7885fa4ed680c71d0925c9
      size: 5000
    outs:
    - path: metrics/evaluation.json
      hash: md5
      md5: 944b7c6d6edf62be1490234ae6f60e44
      size: 983