Jdbermeo
/
ML4HC_Project_2


  
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            schema: '2.0'
stages:
  create_cv_folds:
    cmd: python training/create_folds.py --config_file_path config.yml
    deps:
    - path: config.yml
      md5: a307fbde515379fe985019a367bfe333
      size: 787
    - path: data/human_dna_train_split.csv
      md5: 52f96e17781b2c5b1fee518fe50f01c0
      size: 200998546
    - path: training/create_folds.py
      md5: 73b718cfb12f83ab8db9933a7f39c400
      size: 5943
    outs:
    - path: training/metrics/create_folds_metrics.json
      md5: 111e66df778be089432bc47c743706fa
      size: 44
    - path: training_data/humans/train/input_data_split
      md5: 0a4b22ea7c2716f51edcc09db3c4fefe.dir
      size: 10979893131
      nfiles: 80
  generate_kmers_vectors:
    cmd: python training/generate_kmers.py --config_file_path config.yml
    deps:
    - path: config.yml
      md5: a307fbde515379fe985019a367bfe333
      size: 787
    - path: training/generate_kmers.py
      md5: 8c4080b34669d2ca9225c689b2bf8b00
      size: 5328
    - path: training_data/humans/train/input_data_split
      md5: 0a4b22ea7c2716f51edcc09db3c4fefe.dir
      size: 10979893131
      nfiles: 80
    outs:
    - path: training/metrics/generate_kmers_metrics.json
      md5: 11baacc86ff6fc3318dda6fc7e037e72
      size: 4726
    - path: training_data/humans/train/kmer_vectors
      md5: c349a63e5849ff984a19b02d8909bce3.dir
      size: 26275278774
      nfiles: 60