sentiment/dvc.lock at master · LeoVS09/sentiment · GitHub

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train:
  cmd: python -m src.train
  deps:
  - path: ./src/model.py
    md5: f2d2fe914061e31ab9a9b126273b0032
  - path: ./src/normalize.py
    md5: 941426ea99ad2a81dee04ab8dba4b994
  - path: ./src/train.py
    md5: 6efca663d04b7bb78bd788297d9cf09b
  - path: data
    md5: 5e1e1637ef6e7039a40a0ee22dd6f7e8.dir
  params:
    params.yaml:
      input.batch_size: 128
      train.buffer_size: 128
  outs:
  - path: ./metrics/training.csv
    md5: 3372775ba59e30263fac2376e468e8f9
  - path: ./saved_models/main.h5
    md5: f17536ce4dc41f461bf9f20e9f0d39d7
test:
  cmd: python -m src.test
  deps:
  - path: data
    md5: 5e1e1637ef6e7039a40a0ee22dd6f7e8.dir
  - path: saved_models/main.h5
    md5: f17536ce4dc41f461bf9f20e9f0d39d7
  - path: src/normalize.py
    md5: 941426ea99ad2a81dee04ab8dba4b994
  - path: src/test.py
    md5: 7c2cc9bc8a8a02af73bae7ef2fcc7a44
  params:
    params.yaml:
      input.batch_size: 128
  outs:
  - path: metrics/test.json
    md5: 517645e6f3a3f10e79f631fd14f88027
build_encoder:
  cmd: python -m src.build_encoder
  deps:
  - path: ./src/build_encoder.py
    md5: 5ec30a705992ebea99f20abe4c04f6b5
  - path: ./src/datasets.py
    md5: e55163eb8d4d81c658c52a0bc9773763
  - path: ./src/normalize
    md5: 18f16dc524dab6b244e302c79f98f3a9.dir
  - path: data
    md5: 8d33a41388d7d0c3ce98e2b0f9450114.dir
  outs:
  - path: ./encoder/encoder.tokens
    md5: fe2e4524091b8a6538ad0ece788c2069
  - path: ./metrics/encoder.json
    md5: efbcf82e15e12cb30420d671b4d8c805
prepare_datasets:
  cmd: python -m src.prepare_datasets
  deps:
  - path: ./src/normalize
    md5: 7d895c6d0f30681a500b43ef6823af06.dir
    size: 27456
    nfiles: 24
  - path: ./src/prepare_datasets.py
    md5: e90c417b845267de90ae70bd1921871f
    size: 4392
  - path: data
    md5: 8d33a41388d7d0c3ce98e2b0f9450114.dir
    size: 3973508134
    nfiles: 5
  outs:
  - path: preprocessed
    md5: 24f034acb69f9ff332e0eee40018212e.dir
    size: 94880616
    nfiles: 2