ml_variance/dvc.lock at master · mateusz/ml_variance · GitHub

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schema: '2.0'
stages:
  generate:
    cmd: python src/create.py
    deps:
    - path: src/create.py
      md5: 5b9e5a1ebcd91de3e6634bc2dfe2b7c9
      size: 812
    - path: src/generators.py
      md5: dee58fb6ad705852b62ef95b069f82b4
      size: 1717
    params:
      params.yaml:
        generate:
          r: 20
          r_loc:
          - -3.0
          - 3.0
          r_scale:
          - 0.1
          - 1.0
          n_train: 1000
          n_val: 200
          n_test: 1000
        seed: 0
    outs:
    - path: data/dists.csv
      md5: 9e4eef0de39fc9789956fe5b40f5b967
      size: 900
    - path: data/test.csv
      md5: 4152624b7b601f3c0c05b1819b8c7c4b
      size: 26717
    - path: data/train.csv
      md5: 060fdff8fe3871d1c4727a671171d4d1
      size: 26707
    - path: data/val.csv
      md5: a0fcd5907380065579539722acd5681a
      size: 5295
    - path: evaluation/train_stripplot.png
      md5: 6b7e7c3d9839f0d838dac1562846d777
      size: 48478
  train:
    cmd: python src/train.py
    deps:
    - path: data/train.csv
      md5: 060fdff8fe3871d1c4727a671171d4d1
      size: 26707
    - path: data/val.csv
      md5: a0fcd5907380065579539722acd5681a
      size: 5295
    - path: src/models.py
      md5: 17c3298604db82e5d5c3fdd1264240f6
      size: 6229
    - path: src/train.py
      md5: 0d2bc397502efde177d22e88cf77280c
      size: 714
    params:
      params.yaml:
        train:
          embed_size: 1
          dense_size: 1024
          dense_dropout: 0.5
          learning_rate: 0.01
    outs:
    - path: metrics/train.json
      md5: 8231452851c19cb98031c7d335642463
      size: 156
    - path: models/monte_carlo_dropout
      md5: 5d6a535dc3614a0651015de2072fa0e7.dir
      size: 309793
      nfiles: 4
    - path: models/monte_carlo_dropout.json
      md5: 83325f17bf318109f17eaf9ee6df8253
      size: 146
  eval:
    cmd: python src/eval.py
    deps:
    - path: data/dists.csv
      md5: 9e4eef0de39fc9789956fe5b40f5b967
      size: 900
    - path: data/test.csv
      md5: 4152624b7b601f3c0c05b1819b8c7c4b
      size: 26717
    - path: models/monte_carlo_dropout
      md5: 5d6a535dc3614a0651015de2072fa0e7.dir
      size: 309793
      nfiles: 4
    - path: models/monte_carlo_dropout.json
      md5: 83325f17bf318109f17eaf9ee6df8253
      size: 146
    - path: src/eval.py
      md5: 50681af7570a57d63b77f067c838f474
      size: 3191
    - path: src/models.py
      md5: 17c3298604db82e5d5c3fdd1264240f6
      size: 6229
    params:
      params.yaml:
        eval:
          repeats: 1000
    outs:
    - path: evaluation/cdf_dist.png
      md5: 2c8b9ffe3b3801b135a125306bb466d2
      size: 24475
    - path: evaluation/vs_underlying.png
      md5: b22c7910365c549ded68fbcef04c7207
      size: 24513
    - path: metrics/eval.json
      md5: f3702d56a2a48fc089a699d6b170d975
      size: 127