deploying-ML/dvc.lock at main · MantisAI/deploying-ML · GitHub

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schema: '2.0'
stages:
  clean_data:
    cmd: python src/process_data.py
    deps:
    - path: ./data/raw/SPAM text message 20170820 - Data.csv
      md5: 4566fe81ccd7961063e393a99e8ec2f1
      size: 485702
    - path: src/process_data.py
      md5: c458f135285a5cf6d23596aa5f8d3eba
      size: 605
    outs:
    - path: ./data/processed/spam_data.csv
      md5: eee15aac82d82a827923651764e84c9d
      size: 437656
  train_test_split:
    cmd: python src/train_test_split.py
    deps:
    - path: ./data/processed/spam_data.csv
      md5: eee15aac82d82a827923651764e84c9d
      size: 437656
    - path: src/train_test_split.py
      md5: 8f3fa3afa5a3fa5b5707dfac1b626e68
      size: 972
    params:
      params.yaml:
        train_test_split:
          test_prop: 0.1
          random_state: 1337
    outs:
    - path: ./data/processed/test.csv
      md5: f2a7037edd3eab9f42fc335aa90acb38
      size: 42150
    - path: ./data/processed/train.csv
      md5: 5906c2b11bde9c99eef459a1a3100df7
      size: 395523
  train:
    cmd: python src/train.py
    deps:
    - path: ./data/processed/test.csv
      md5: f2a7037edd3eab9f42fc335aa90acb38
      size: 42150
    - path: ./data/processed/train.csv
      md5: 5906c2b11bde9c99eef459a1a3100df7
      size: 395523
    - path: src/train.py
      md5: 0fa6b0fff34d542c5c5a698ee49f0378
      size: 2302
    params:
      params.yaml:
        train:
          kernel: rbf
          reg_param: 1.0
          poly_degree: 3
    outs:
    - path: ./models/label_encoder.pk
      md5: e11014f0c2775b9f9a6ba29fe6ff7159
      size: 255
    - path: ./models/model.pk
      md5: e86502d65d7db70bceecdb5567c0c2ab
      size: 427458
    - path: ./models/vectorizer.pk
      md5: 658e60520bfa3c23366e8b729c613cef
      size: 232488
    - path: ./results/test_preds.csv
      md5: 72d69731afb29cde28c3265506ac7263
      size: 1034
    - path: ./results/train_preds.csv
      md5: e7a66666c00d83dfba8242ba33f3dded
      size: 9284
  evaluate@test:
    cmd: python src/evaluate.py --preds-path ./results/test_preds.csv --true-path
      ./data/processed/test.csv --label-encoder-path ./models/label_encoder.pk --metrics-path
      ./results/test_metrics.json
    deps:
    - path: ./data/processed/test.csv
      md5: f2a7037edd3eab9f42fc335aa90acb38
      size: 42150
    - path: ./data/processed/train.csv
      md5: 5906c2b11bde9c99eef459a1a3100df7
      size: 395523
    - path: ./models/label_encoder.pk
      md5: e11014f0c2775b9f9a6ba29fe6ff7159
      size: 255
    - path: ./results/test_preds.csv
      md5: 72d69731afb29cde28c3265506ac7263
      size: 1034
    - path: src/evaluate.py
      md5: b3d17e559169b7046fa78555d85925e6
      size: 1184
    outs:
    - path: ./results/test_metrics.json
      md5: 6100ee884787ae73abfd40f1822d2a65
      size: 699
  evaluate@train:
    cmd: python src/evaluate.py --preds-path ./results/train_preds.csv --true-path
      ./data/processed/train.csv --label-encoder-path ./models/label_encoder.pk --metrics-path
      ./results/train_metrics.json
    deps:
    - path: ./data/processed/test.csv
      md5: f2a7037edd3eab9f42fc335aa90acb38
      size: 42150
    - path: ./data/processed/train.csv
      md5: 5906c2b11bde9c99eef459a1a3100df7
      size: 395523
    - path: ./models/label_encoder.pk
      md5: e11014f0c2775b9f9a6ba29fe6ff7159
      size: 255
    - path: ./results/train_preds.csv
      md5: e7a66666c00d83dfba8242ba33f3dded
      size: 9284
    - path: src/evaluate.py
      md5: b3d17e559169b7046fa78555d85925e6
      size: 1184
    outs:
    - path: ./results/train_metrics.json
      md5: e1307a5606b7da48cc8a98ca234aad81
      size: 673