dvc.lock

schema: '2.0'
stages:
  preparation:
    cmd: mkdir -p data/processed && PYTHONPATH=src python src/utility/dataset.py data/raw/ground-truth/
      data/processed/ --split=0.2 --seed=3
    deps:
    - path: data/raw/ground-truth/
      md5: 1a714301a27d7bce2a0ca8969a31bf48.dir
      size: 769761
      nfiles: 124
    - path: src/core
      md5: c5f9a4e4142c40435fbac2bec5b1c876.dir
      size: 29767
      nfiles: 4
    - path: src/utility/dataset.py
      md5: ce75265d2bcdb878c2f1c6bcdc28f3c3
      size: 2508
    outs:
    - path: data/processed
      md5: 5fb3272d5eb51960ae27d77e33c80272.dir
      size: 82451
      nfiles: 2
  prediction:
    cmd: mkdir -p data/pred && PYTHONPATH=src python src/core/main.py data/raw/cv/
      data/pred
    deps:
    - path: data/raw/cv
      md5: 9d4d19058b457f8a45a4d5ccf6f0f9c6.dir
      size: 16522042
      nfiles: 124
    - path: src/core
      md5: c5f9a4e4142c40435fbac2bec5b1c876.dir
      size: 29767
      nfiles: 4
    outs:
    - path: data/pred
      md5: 91a488aafdda9893603c29c1afed518d.dir
      size: 746721
      nfiles: 62
  evaluation:
    cmd: papermill "Notebooks/EvaluationMetrics/Evaluation metrics.ipynb" ./build/reports/classification.ipynb
      -p path Notebooks/EvaluationMetrics -p reports_path ./reports -k python3
    deps:
    - path: Notebooks/EvaluationMetrics/Evaluation metrics.ipynb
      md5: cf32ceda4b988427455aa31f46ce2ac4
      size: 232308
    - path: data/pred/
      md5: 91a488aafdda9893603c29c1afed518d.dir
      size: 746721
      nfiles: 62
    - path: data/raw/ground-truth/
      md5: 1a714301a27d7bce2a0ca8969a31bf48.dir
      size: 769761
      nfiles: 124
    outs:
    - path: reports/classification.txt
      md5: a9ee230b22e380da12d35ccb54a050fa
      size: 938