End_to_End_ML_Project_with_DagsHub_Mlflow_DVC/dvc.lock at main · Ananddd06/End_to_End_ML_Project_with_DagsHub_Mlflow_DVC · GitHub

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schema: '2.0'
stages:
  preprocess:
    cmd: python src/preprocess.py
    deps:
    - path: data/raw/diabetes.csv
      hash: md5
      md5: f2906818eda8fcfc8f8416557ab1e6df
      size: 23873
    - path: src/preprocess.py
      hash: md5
      md5: 7cbd42bdf80d8c066ba916d6a4bd6312
      size: 788
    params:
      params.yaml:
        preprocess.input: data/raw/diabetes.csv
        preprocess.output: data/processed/diabetes.csv
    outs:
    - path: data/processed/diabetes.csv
      hash: md5
      md5: 1c644ff1dd47bea0375d260747f2e40a
      size: 23106
  train:
    cmd: python src/train.py
    deps:
    - path: data/raw/diabetes.csv
      hash: md5
      md5: f2906818eda8fcfc8f8416557ab1e6df
      size: 23873
    - path: src/train.py
      hash: md5
      md5: d4dea4a8c1b124f29739180ef544f460
      size: 4187
    params:
      params.yaml:
        train.data: data/processed/diabetes.csv
        train.max_depth:
        - 5
        - 10
        - None
        train.min_samples_leaf:
        - 1
        - 2
        train.min_samples_split:
        - 2
        - 5
        train.model: models/diabetes_model.pkl
        train.n_estimators:
        - 100
        - 200
        train.random_state: 42
    outs:
    - path: models/diabetes_model.pkl
      hash: md5
      md5: 0b623fd52b625913d5e179a901afc1f6
      size: 1441495
  evaluate:
    cmd: python src/evaluate.py
    deps:
    - path: data/processed/diabetes.csv
      hash: md5
      md5: 1c644ff1dd47bea0375d260747f2e40a
      size: 23106
    - path: models/diabetes_model.pkl
      hash: md5
      md5: 0b623fd52b625913d5e179a901afc1f6
      size: 1441495
    - path: src/evaluate.py
      hash: md5
      md5: 381b14b7a62a46dcb068343819b4cec1
      size: 1190