nirbarazida
/
urban-audio-classifier


  
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            schema: '2.0'
stages:
  training:
    cmd: python3 -m src.model.train
    deps:
    - path: audio_data/audio/
      md5: 5beb628dfbf9ece0ef66a1bef896ff93.dir
      size: 807148184
      nfiles: 873
    - path: audio_data/metadata/UrbanSound8K.csv
      md5: 947b97f3241e6f8f956690fe23ac610b
      size: 51769
    - path: src/const.py
      md5: 194acee9d0ba6361048568f14d52060f
      size: 266
    - path: src/data/generator.py
      md5: 42915c90f20e2afe2985872d583cd97e
      size: 1421
    - path: src/model/train.py
      md5: e224797f14a0af375e57f4eb1990f5c7
      size: 1752
    outs:
    - path: metrics.csv
      md5: 9cc982f5162fdb1fbe00962c46b726ef
      size: 140304
    - path: models
      md5: 664c32adafd823f92c728cc185ec5cc7.dir
      size: 1899629
      nfiles: 5
    - path: params.yml
      md5: 7680ae72213291b15db4ef1ebec17034
      size: 472