dvc.lock

schema: '2.0'
stages:
  Features:
    cmd: python src/stages/features.py --config=params.yaml
    deps:
    - path: src/stages/features.py
      hash: md5
      md5: 5b6943cd952e1d295c975f337b697bc7
      size: 3351
    params:
      params.yaml:
        features.fft_window_func: None
        features.fft_window_num: 40
        features.fft_window_size: 20
        features.names:
        - T_mean
        - T_median
        - T_kurtosis
        - T_skewness
        - F_med_abs_dev
        - F_median
        - F_kurtosis
        - F_skewness
        - T_std
        - T_med_abs_dev
        - T_mean_abs_dev
        - T_sum_abs
        - T_max_abs
        - T_sqrt_sum_abs_sqr
        - F_mean
        - F_std
        - F_mean_abs_dev
        - F_sum_abs
        - F_max_abs
        - F_sqrt_sum_abs_sqr
    outs:
    - path: Data/raw/dataset.csv
      hash: md5
      md5: ae3c2205c78d268399c1d63f9eba579f
      size: 576337
  Data:
    cmd: python src/stages/del_load.py --config=params.yaml
    deps:
    - path: src/stages/del_load.py
      hash: md5
      md5: 908978d9512ea3d5d8f780c7e242759c
      size: 4851
    params:
      params.yaml:
        data_split.load_exclude:
        - 0.125
        - 0.75
        features.fft_window_func: None
        features.fft_window_num: 40
        features.fft_window_size: 20
        features.names:
        - T_mean
        - T_median
        - T_kurtosis
        - T_skewness
        - F_med_abs_dev
        - F_median
        - F_kurtosis
        - F_skewness
        - T_std
        - T_med_abs_dev
        - T_mean_abs_dev
        - T_sum_abs
        - T_max_abs
        - T_sqrt_sum_abs_sqr
        - F_mean
        - F_std
        - F_mean_abs_dev
        - F_sum_abs
        - F_max_abs
        - F_sqrt_sum_abs_sqr
    outs:
    - path: Data/processed/X_test.csv
      hash: md5
      md5: e01141fd9381a2c44a6abf46b760e43f
      size: 221290
    - path: Data/processed/X_train.csv
      hash: md5
      md5: 422e24b9b3410861fd83aeecf98e7b5b
      size: 331849
    - path: Data/processed/load_test.csv
      hash: md5
      md5: 759b0d4cab9ff264c7283cb18e6c57ac
      size: 4088
    - path: Data/processed/load_train.csv
      hash: md5
      md5: 2e3bdeef1b9d0845b06716873816b848
      size: 5930
    - path: Data/processed/y_test.csv
      hash: md5
      md5: 5f6fbe887fb2112a50883ea5d7cf50dd
      size: 1927
    - path: Data/processed/y_train.csv
      hash: md5
      md5: 5e40538629d707ae84f62b7755db6175
      size: 2887
  Training:
    cmd: python src/stages/train.py --config=params.yaml
    deps:
    - path: Data/processed/X_test.csv
      hash: md5
      md5: e01141fd9381a2c44a6abf46b760e43f
      size: 221290
    - path: Data/processed/X_train.csv
      hash: md5
      md5: 422e24b9b3410861fd83aeecf98e7b5b
      size: 331849
    - path: Data/processed/load_test.csv
      hash: md5
      md5: 759b0d4cab9ff264c7283cb18e6c57ac
      size: 4088
    - path: Data/processed/load_train.csv
      hash: md5
      md5: 2e3bdeef1b9d0845b06716873816b848
      size: 5930
    - path: Data/processed/y_test.csv
      hash: md5
      md5: 5f6fbe887fb2112a50883ea5d7cf50dd
      size: 1927
    - path: Data/processed/y_train.csv
      hash: md5
      md5: 5e40538629d707ae84f62b7755db6175
      size: 2887
    - path: src/stages/train.py
      hash: md5
      md5: 66d0851c3b7605ba80e5d57f2f02009a
      size: 3361
    params:
      params.yaml:
        data_split.load_exclude:
        - 0.125
        - 0.75
        features.fft_window_func: None
        features.fft_window_num: 40
        features.fft_window_size: 20
        features.names:
        - T_mean
        - T_median
        - T_kurtosis
        - T_skewness
        - F_med_abs_dev
        - F_median
        - F_kurtosis
        - F_skewness
        - T_std
        - T_med_abs_dev
        - T_mean_abs_dev
        - T_sum_abs
        - T_max_abs
        - T_sqrt_sum_abs_sqr
        - F_mean
        - F_std
        - F_mean_abs_dev
        - F_sum_abs
        - F_max_abs
        - F_sqrt_sum_abs_sqr
        train.estimator_name: SVC
    outs:
    - path: reports/best_hp.json
      hash: md5
      md5: eec206833c5cdc1bc123c53d70a04757
      size: 100
  Evaluation:
    cmd: python src/stages/evaluate.py --config=params.yaml
    deps:
    - path: Data/processed/X_test.csv
      hash: md5
      md5: e01141fd9381a2c44a6abf46b760e43f
      size: 221290
    - path: Data/processed/y_test.csv
      hash: md5
      md5: 5f6fbe887fb2112a50883ea5d7cf50dd
      size: 1927
    - path: Models/
      hash: md5
      md5: 98a35d8d840640344806798dca17d44d.dir
      size: 581850
      nfiles: 2
    - path: src/stages/evaluate.py
      hash: md5
      md5: d09aa942688030a3e932a1b8d1d2a977
      size: 6148
    outs:
    - path: reports/confusion_matrix.png
      hash: md5
      md5: 97b690e3f9729d50b58ddb0610d14b5d
      size: 249491
    - path: reports/confusion_matrix_data.csv
      hash: md5
      md5: eeef57af0ba9c2eb7d4439881c19f660
      size: 7688
    - path: reports/metrics.json
      hash: md5
      md5: 1874c82feb704583868d84bf8a5c0b63
      size: 68