thesis-doctorate/dvc.lock

schema: '2.0'
stages:
  clean_synthetic:
    cmd: ./data/synthetic/script/generate_data.py
    deps:
    - path: data/synthetic/script/generate_data.py
      md5: 835f0da2bad4b74f03cf38a47902c522
      size: 5177
    outs:
    - path: data/synthetic/clean/multivariate.parquet
      md5: 73b665e7cbf1b84ebc2566005812778b
      size: 151335
    - path: data/synthetic/clean/univariate.parquet
      md5: 6a9368fbcf16dc2c1ec25db48c27107d
      size: 147861
  clean_water:
    cmd: ./data/water/script/extract_meter_readings.py
    deps:
    - path: data/water/raw/meter_readings_by_block.xlsx
      md5: c9ce422a0de88308f9656c4264e5998a
      size: 4709509
    - path: data/water/script/extract_meter_readings.py
      md5: 4c7ca8c5eb4ce2cabc175238762bd057
      size: 3538
    outs:
    - path: data/water/clean/multivariate.parquet
      md5: 8b034f63b3e589fca94fcf203406070d
      size: 530421
    - path: data/water/clean/univariate.parquet
      md5: f73dd676b78f995fe6ee8ca70df78640
      size: 387052
  clean_air:
    cmd: ./data/air/script/extract_sensor_readings.py
    deps:
    - path: data/air/raw/2011.csv
      md5: faac69d347d9902afb5f70f7f159c6af
      size: 2233217
    - path: data/air/raw/2012.csv
      md5: d60c8d6b34373d92822fffd9017241d8
      size: 2246774
    - path: data/air/raw/2013.csv
      md5: 6e0f20023a653340754444bde001df11
      size: 2631812
    - path: data/air/raw/2014.csv
      md5: 58d368e34d933189c673b54e3b591dfb
      size: 2694424
    - path: data/air/raw/2015.csv
      md5: c2e0e98529b5ffc6a3f4d6565a3e5979
      size: 2619195
    - path: data/air/raw/2016.csv
      md5: 271179f1e6a7de96030561cb1c3e36c8
      size: 2634620
    - path: data/air/raw/2017.csv
      md5: 9f9e62d4bf55b19879b8306ae986ca9a
      size: 2621599
    - path: data/air/raw/2018.csv
      md5: 1617d5c99f731c7be4ee34a601d25b17
      size: 2617542
    - path: data/air/raw/2019.csv
      md5: d8130dc7e57dcc7ac069c180777f7ebb
      size: 2616625
    - path: data/air/raw/2020.csv
      md5: 9cee8481ac676345168767f0795b6ea7
      size: 2310331
    - path: data/air/script/extract_sensor_readings.py
      md5: c28735611a1f8935c4e69a2c4b319e29
      size: 4140
    outs:
    - path: data/air/clean/multivariate.parquet
      md5: fcb5f1d234398aae8c2535ef07dba183
      size: 1852101
    - path: data/air/clean/univariate.parquet
      md5: f2409fc5f9cff44da6a0561b39ad9da8
      size: 364015
  parameterize_synthetic:
    cmd: ./source/thesis/data/parameterize.py --source_path data/synthetic/clean/univariate.parquet
      --destination_path data/synthetic/clean/univariate_parameterized.parquet
    deps:
    - path: data/synthetic/clean/univariate.parquet
      md5: 6a9368fbcf16dc2c1ec25db48c27107d
      size: 147861
    - path: source/thesis/data/parameterize.py
      md5: a5abf6fe6822bd12a397ef4bb781f237
      size: 2273
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: 3da3ee047de637f9a96d279566817a33
      size: 1888609
  establish_synthetic:
    cmd: ./source/thesis/data/establish.py --source_path data/synthetic/clean/univariate_parameterized.parquet
      --destination_path data/synthetic/clean/univariate_ground_truth.parquet
    deps:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: 3da3ee047de637f9a96d279566817a33
      size: 1888609
    - path: source/thesis/data/establish.py
      md5: a988c2489661fb7956f1497616831d05
      size: 2870
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/synthetic/clean/univariate_ground_truth.parquet
      md5: e7293b9d25190a9c5f6519339e4edf63
      size: 5508671
  predict_naive_synthetic:
    cmd: ./source/thesis/model/predict_naive.py --source_path data/synthetic/clean/univariate_parameterized.parquet
      --destination_path data/synthetic/clean/univariate_predictions_naive.parquet
    deps:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: 3da3ee047de637f9a96d279566817a33
      size: 1888609
    - path: source/thesis/model/predict_naive.py
      md5: faa9c301c31e42a5b620aaff8bf5b4ae
      size: 2870
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/synthetic/clean/univariate_predictions_naive.parquet
      md5: fa6e83d2c14f400a2ca4aeab0f2ce717
      size: 3065061
  evaluate_naive_synthetic:
    cmd: ./source/thesis/data/evaluate.py --ground_truth_path data/synthetic/clean/univariate_ground_truth.parquet
      --predictions_path data/synthetic/clean/univariate_predictions_naive.parquet
      --destination_path data/synthetic/clean/univariate_errors_naive.parquet
    deps:
    - path: data/synthetic/clean/univariate_ground_truth.parquet
      md5: e7293b9d25190a9c5f6519339e4edf63
      size: 5508671
    - path: data/synthetic/clean/univariate_predictions_naive.parquet
      md5: fa6e83d2c14f400a2ca4aeab0f2ce717
      size: 3065061
    - path: source/thesis/data/evaluate.py
      md5: 40b344d1db77804bfa827e32720da931
      size: 3945
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/synthetic/clean/univariate_errors_naive.parquet
      md5: 1f509ea4384cb5eb5e8f1eb95a173082
      size: 119643909
  tabulate_naive_synthetic:
    cmd: ./source/thesis/data/tabulate.py --source_path data/synthetic/clean/univariate_errors_naive.parquet
      --destination_path data/synthetic/clean/univariate_errors_tabulated_naive.parquet
    deps:
    - path: data/synthetic/clean/univariate_errors_naive.parquet
      md5: 1f509ea4384cb5eb5e8f1eb95a173082
      size: 119643909
    - path: source/thesis/data/tabulate.py
      md5: 660b383d0f869481ef85403e83a61ecd
      size: 2684
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/synthetic/clean/univariate_errors_tabulated_naive.parquet
      md5: cbf285ac7d21f3b0b564401f81994294
      size: 56611
  parameterize_water:
    cmd: ./source/thesis/data/parameterize.py --source_path data/water/clean/univariate.parquet
      --destination_path data/water/clean/univariate_parameterized.parquet
    deps:
    - path: data/water/clean/univariate.parquet
      md5: f73dd676b78f995fe6ee8ca70df78640
      size: 387052
    - path: source/thesis/data/parameterize.py
      md5: a5abf6fe6822bd12a397ef4bb781f237
      size: 2273
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: 8991afd25509ec61983d74e4ff11dfec
      size: 3473986
  establish_water:
    cmd: ./source/thesis/data/establish.py --source_path data/water/clean/univariate_parameterized.parquet
      --destination_path data/water/clean/univariate_ground_truth.parquet
    deps:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: 8991afd25509ec61983d74e4ff11dfec
      size: 3473986
    - path: source/thesis/data/establish.py
      md5: a988c2489661fb7956f1497616831d05
      size: 2870
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/water/clean/univariate_ground_truth.parquet
      md5: 167c91ededdbf66ba5a2d0a800f962f6
      size: 12072754
  predict_naive_water:
    cmd: ./source/thesis/model/predict_naive.py --source_path data/water/clean/univariate_parameterized.parquet
      --destination_path data/water/clean/univariate_predictions_naive.parquet
    deps:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: 8991afd25509ec61983d74e4ff11dfec
      size: 3473986
    - path: source/thesis/model/predict_naive.py
      md5: faa9c301c31e42a5b620aaff8bf5b4ae
      size: 2870
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/water/clean/univariate_predictions_naive.parquet
      md5: 89f55a1256bb30f131591571478f308a
      size: 8319820
  evaluate_naive_water:
    cmd: ./source/thesis/data/evaluate.py --ground_truth_path data/water/clean/univariate_ground_truth.parquet
      --predictions_path data/water/clean/univariate_predictions_naive.parquet --destination_path
      data/water/clean/univariate_errors_naive.parquet
    deps:
    - path: data/water/clean/univariate_ground_truth.parquet
      md5: 167c91ededdbf66ba5a2d0a800f962f6
      size: 12072754
    - path: data/water/clean/univariate_predictions_naive.parquet
      md5: 89f55a1256bb30f131591571478f308a
      size: 8319820
    - path: source/thesis/data/evaluate.py
      md5: 40b344d1db77804bfa827e32720da931
      size: 3945
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/water/clean/univariate_errors_naive.parquet
      md5: 53cd35cf61e9b66e42489eda540590af
      size: 176043121
  tabulate_naive_water:
    cmd: ./source/thesis/data/tabulate.py --source_path data/water/clean/univariate_errors_naive.parquet
      --destination_path data/water/clean/univariate_errors_tabulated_naive.parquet
    deps:
    - path: data/water/clean/univariate_errors_naive.parquet
      md5: 53cd35cf61e9b66e42489eda540590af
      size: 176043121
    - path: source/thesis/data/tabulate.py
      md5: 660b383d0f869481ef85403e83a61ecd
      size: 2684
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/water/clean/univariate_errors_tabulated_naive.parquet
      md5: ee2b90ead82fe2fe8227fb4c7778eb1c
      size: 57125
  parameterize_air:
    cmd: ./source/thesis/data/parameterize.py --source_path data/air/clean/univariate.parquet
      --destination_path data/air/clean/univariate_parameterized.parquet
    deps:
    - path: data/air/clean/univariate.parquet
      md5: f2409fc5f9cff44da6a0561b39ad9da8
      size: 364015
    - path: source/thesis/data/parameterize.py
      md5: a5abf6fe6822bd12a397ef4bb781f237
      size: 2273
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: c198276f1c9547c153f86cc60988d1c6
      size: 5999422
  establish_air:
    cmd: ./source/thesis/data/establish.py --source_path data/air/clean/univariate_parameterized.parquet
      --destination_path data/air/clean/univariate_ground_truth.parquet
    deps:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: c198276f1c9547c153f86cc60988d1c6
      size: 5999422
    - path: source/thesis/data/establish.py
      md5: a988c2489661fb7956f1497616831d05
      size: 2870
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/air/clean/univariate_ground_truth.parquet
      md5: 45464d04f9901b4871df0eb8010de4f7
      size: 23543920
  predict_naive_air:
    cmd: ./source/thesis/model/predict_naive.py --source_path data/air/clean/univariate_parameterized.parquet
      --destination_path data/air/clean/univariate_predictions_naive.parquet
    deps:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: c198276f1c9547c153f86cc60988d1c6
      size: 5999422
    - path: source/thesis/model/predict_naive.py
      md5: faa9c301c31e42a5b620aaff8bf5b4ae
      size: 2870
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/air/clean/univariate_predictions_naive.parquet
      md5: 65ae2cc1f655a3044d097b3800fbb91f
      size: 13202680
  evaluate_naive_air:
    cmd: ./source/thesis/data/evaluate.py --ground_truth_path data/air/clean/univariate_ground_truth.parquet
      --predictions_path data/air/clean/univariate_predictions_naive.parquet --destination_path
      data/air/clean/univariate_errors_naive.parquet
    deps:
    - path: data/air/clean/univariate_ground_truth.parquet
      md5: 45464d04f9901b4871df0eb8010de4f7
      size: 23543920
    - path: data/air/clean/univariate_predictions_naive.parquet
      md5: 65ae2cc1f655a3044d097b3800fbb91f
      size: 13202680
    - path: source/thesis/data/evaluate.py
      md5: 40b344d1db77804bfa827e32720da931
      size: 3945
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/air/clean/univariate_errors_naive.parquet
      md5: 8876f5d3eb04e8a333b62ea6ca225f99
      size: 321350365
  tabulate_naive_air:
    cmd: ./source/thesis/data/tabulate.py --source_path data/air/clean/univariate_errors_naive.parquet
      --destination_path data/air/clean/univariate_errors_tabulated_naive.parquet
    deps:
    - path: data/air/clean/univariate_errors_naive.parquet
      md5: 8876f5d3eb04e8a333b62ea6ca225f99
      size: 321350365
    - path: source/thesis/data/tabulate.py
      md5: 660b383d0f869481ef85403e83a61ecd
      size: 2684
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/air/clean/univariate_errors_tabulated_naive.parquet
      md5: e9b080fc5e8e4450010d6b583daae689
      size: 56611
  predict_prophet_synthetic:
    cmd: ./source/thesis/model/predict_prophet.py --source_path data/synthetic/clean/univariate_parameterized.parquet
      --destination_path data/synthetic/clean/univariate_predictions_prophet.parquet
    deps:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: 3da3ee047de637f9a96d279566817a33
      size: 1888609
    - path: source/thesis/model/predict_prophet.py
      md5: 7ad7ecc0763cae9ab077b0766a67891f
      size: 8970
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/synthetic/clean/univariate_predictions_prophet.parquet
      md5: 7d119ddb3aa2a5b5bdff0e3f6770fdea
      size: 22071244
  evaluate_prophet_synthetic:
    cmd: ./source/thesis/data/evaluate.py --ground_truth_path data/synthetic/clean/univariate_ground_truth.parquet
      --predictions_path data/synthetic/clean/univariate_predictions_prophet.parquet
      --destination_path data/synthetic/clean/univariate_errors_prophet.parquet
    deps:
    - path: data/synthetic/clean/univariate_ground_truth.parquet
      md5: e7293b9d25190a9c5f6519339e4edf63
      size: 5508671
    - path: data/synthetic/clean/univariate_predictions_prophet.parquet
      md5: 7d119ddb3aa2a5b5bdff0e3f6770fdea
      size: 22071244
    - path: source/thesis/data/evaluate.py
      md5: 40b344d1db77804bfa827e32720da931
      size: 3945
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/synthetic/clean/univariate_errors_prophet.parquet
      md5: b304ce366c500e33198ca9680b733cbb
      size: 46073269
  tabulate_prophet_synthetic:
    cmd: ./source/thesis/data/tabulate.py --source_path data/synthetic/clean/univariate_errors_prophet.parquet
      --destination_path data/synthetic/clean/univariate_errors_tabulated_prophet.parquet
    deps:
    - path: data/synthetic/clean/univariate_errors_prophet.parquet
      md5: b304ce366c500e33198ca9680b733cbb
      size: 46073269
    - path: source/thesis/data/tabulate.py
      md5: 660b383d0f869481ef85403e83a61ecd
      size: 2684
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/synthetic/clean/univariate_errors_tabulated_prophet.parquet
      md5: 95d45dd48cb6b0db82ff15d1e608be4d
      size: 54895
  predict_prophet_air:
    cmd: ./source/thesis/model/predict_prophet.py --source_path data/air/clean/univariate_parameterized.parquet
      --destination_path data/air/clean/univariate_predictions_prophet.parquet
    deps:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: c198276f1c9547c153f86cc60988d1c6
      size: 5999422
    - path: source/thesis/model/predict_prophet.py
      md5: 7ad7ecc0763cae9ab077b0766a67891f
      size: 8970
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/air/clean/univariate_predictions_prophet.parquet
      md5: 7f54d81481bf2180eb6daa54fa7b49c9
      size: 97462256
  predict_prophet_water:
    cmd: ./source/thesis/model/predict_prophet.py --source_path data/water/clean/univariate_parameterized.parquet
      --destination_path data/water/clean/univariate_predictions_prophet.parquet
    deps:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: 8991afd25509ec61983d74e4ff11dfec
      size: 3473986
    - path: source/thesis/model/predict_prophet.py
      md5: 7ad7ecc0763cae9ab077b0766a67891f
      size: 8970
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/water/clean/univariate_predictions_prophet.parquet
      md5: 067053d285233e9324a7da222654af5e
      size: 46610336
  evaluate_prophet_air:
    cmd: ./source/thesis/data/evaluate.py --ground_truth_path data/air/clean/univariate_ground_truth.parquet
      --predictions_path data/air/clean/univariate_predictions_prophet.parquet --destination_path
      data/air/clean/univariate_errors_prophet.parquet
    deps:
    - path: data/air/clean/univariate_ground_truth.parquet
      md5: 45464d04f9901b4871df0eb8010de4f7
      size: 23543920
    - path: data/air/clean/univariate_predictions_prophet.parquet
      md5: 7f54d81481bf2180eb6daa54fa7b49c9
      size: 97462256
    - path: source/thesis/data/evaluate.py
      md5: 40b344d1db77804bfa827e32720da931
      size: 3945
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/air/clean/univariate_errors_prophet.parquet
      md5: 63435462144c03e19707f7bfd3795588
      size: 200193148
  tabulate_prophet_air:
    cmd: ./source/thesis/data/tabulate.py --source_path data/air/clean/univariate_errors_prophet.parquet
      --destination_path data/air/clean/univariate_errors_tabulated_prophet.parquet
    deps:
    - path: data/air/clean/univariate_errors_prophet.parquet
      md5: 63435462144c03e19707f7bfd3795588
      size: 200193148
    - path: source/thesis/data/tabulate.py
      md5: 660b383d0f869481ef85403e83a61ecd
      size: 2684
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/air/clean/univariate_errors_tabulated_prophet.parquet
      md5: b7a34a16047134d62f6a03c9ba418577
      size: 56611
  evaluate_prophet_water:
    cmd: ./source/thesis/data/evaluate.py --ground_truth_path data/water/clean/univariate_ground_truth.parquet
      --predictions_path data/water/clean/univariate_predictions_prophet.parquet --destination_path
      data/water/clean/univariate_errors_prophet.parquet
    deps:
    - path: data/water/clean/univariate_ground_truth.parquet
      md5: 167c91ededdbf66ba5a2d0a800f962f6
      size: 12072754
    - path: data/water/clean/univariate_predictions_prophet.parquet
      md5: 067053d285233e9324a7da222654af5e
      size: 46610336
    - path: source/thesis/data/evaluate.py
      md5: 40b344d1db77804bfa827e32720da931
      size: 3945
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/water/clean/univariate_errors_prophet.parquet
      md5: b2ec68e58f6d705471c3fc83cffe3bcd
      size: 90513856
  tabulate_prophet_water:
    cmd: ./source/thesis/data/tabulate.py --source_path data/water/clean/univariate_errors_prophet.parquet
      --destination_path data/water/clean/univariate_errors_tabulated_prophet.parquet
    deps:
    - path: data/water/clean/univariate_errors_prophet.parquet
      md5: b2ec68e58f6d705471c3fc83cffe3bcd
      size: 90513856
    - path: source/thesis/data/tabulate.py
      md5: 660b383d0f869481ef85403e83a61ecd
      size: 2684
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - rmse
        - smape
    outs:
    - path: data/water/clean/univariate_errors_tabulated_prophet.parquet
      md5: b8867704b0b16af00f8f65355abb157a
      size: 57050
  predict_rnn_air:
    cmd: ./source/thesis/model/predict_rnn.py --source_path data/air/clean/univariate_parameterized.parquet
      --destination_path data/air/clean/univariate_predictions_rnn.parquet
    deps:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: 70fb74e68af83331f1bc43c9d427d5c0
      size: 34604923
    - path: source/thesis/model/predict_rnn.py
      md5: 5fbb49bb6d4b2b25c56379f6728d1127
      size: 4908
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/air/clean/univariate_predictions_rnn.parquet
      md5: ee6bceef6f7b0ed307afe2108b705d31
      size: 3233
  predict_rnn_water:
    cmd: ./source/thesis/model/predict_rnn.py --source_path data/water/clean/univariate_parameterized.parquet
      --destination_path data/water/clean/univariate_predictions_rnn.parquet
    deps:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: b899d2f507b8a27ed0d15bfca9894f42
      size: 7084686
    - path: source/thesis/model/predict_rnn.py
      md5: 5fbb49bb6d4b2b25c56379f6728d1127
      size: 4908
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/water/clean/univariate_predictions_rnn.parquet
      md5: ee6bceef6f7b0ed307afe2108b705d31
      size: 3233
  predict_rnn_synthetic:
    cmd: ./source/thesis/model/predict_rnn.py --source_path data/synthetic/clean/univariate_parameterized.parquet
      --destination_path data/synthetic/clean/univariate_predictions_rnn.parquet
    deps:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: fa0790634e2793ef0ec2de28c85ec4b3
      size: 1886872
    - path: source/thesis/model/predict_rnn.py
      md5: 5fbb49bb6d4b2b25c56379f6728d1127
      size: 4908
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
    outs:
    - path: data/synthetic/clean/univariate_predictions_rnn.parquet
      md5: 163eec9cd8cd975af9998662350e34dc
      size: 3215
  evaluate_rnn_synthetic:
    cmd: ./source/thesis/data/evaluate.py --ground_truth_path data/synthetic/clean/univariate_ground_truth.parquet
      --predictions_path data/synthetic/clean/univariate_predictions_rnn.parquet --destination_path
      data/synthetic/clean/univariate_errors_rnn.parquet
    deps:
    - path: data/synthetic/clean/univariate_ground_truth.parquet
      md5: 3de045740e9a04e4553bb1f711bb04be
      size: 5483230
    - path: data/synthetic/clean/univariate_predictions_rnn.parquet
      md5: 163eec9cd8cd975af9998662350e34dc
      size: 3215
    - path: source/thesis/data/evaluate.py
      md5: df055ce8b25da0413de04a4a036abfa0
      size: 3759
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - mae
        - rmse
        - smape
    outs:
    - path: data/synthetic/clean/univariate_errors_rnn.parquet
      md5: 988771adb99d0d454823f14b353844f9
      size: 3362535
  tabulate_rnn_synthetic:
    cmd: ./source/thesis/data/tabulate.py --source_path data/synthetic/clean/univariate_errors_rnn.parquet
      --destination_path data/synthetic/clean/univariate_errors_tabulated_rnn.parquet
    deps:
    - path: data/synthetic/clean/univariate_errors_rnn.parquet
      md5: 988771adb99d0d454823f14b353844f9
      size: 3362535
    - path: source/thesis/data/tabulate.py
      md5: ba271c58231071bf4a3c276873d1f5bb
      size: 2610
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
          functions:
          - max
          - mean
        metrics:
        - mae
        - rmse
        - smape
    outs:
    - path: data/synthetic/clean/univariate_errors_tabulated_rnn.parquet
      md5: afac1f94d66b7e9628b337250936f777
      size: 3225
  clean@synthetic:
    cmd: ./data/synthetic/script/clean.py
    deps:
    - path: data/synthetic/raw
      md5: 1993d8677954f59c617541f0df0c2323.dir
      size: 0
      nfiles: 1
    - path: data/synthetic/script/clean.py
      md5: 835f0da2bad4b74f03cf38a47902c522
      size: 5177
    outs:
    - path: data/synthetic/clean/multivariate.parquet
      md5: 1ffe111e22f9d1eb7a9478eedb5eb98b
      size: 151335
    - path: data/synthetic/clean/univariate.parquet
      md5: 0f878dd8143b1d7da049fcec96194647
      size: 147861
  parameterize@synthetic:
    cmd: ./source/thesis/data/parameterize.py --path_source data/synthetic/clean/univariate.parquet
      --path_destination data/synthetic/clean/univariate_parameterized.parquet
    deps:
    - path: data/synthetic/clean/univariate.parquet
      md5: 0f878dd8143b1d7da049fcec96194647
      size: 147861
    - path: source/thesis/data/parameterize.py
      md5: 2a12303c8abcddef1443e3732a1c6d77
      size: 2902
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: a3ed15c486dca24af026b4139eaf109a
      size: 1896166
  clean@air:
    cmd: ./data/air/script/clean.py
    deps:
    - path: data/air/raw
      md5: ac47665ca5fde4112cbd35c79397624c.dir
      size: 25226139
      nfiles: 10
    - path: data/air/script/clean.py
      md5: c28735611a1f8935c4e69a2c4b319e29
      size: 4140
    outs:
    - path: data/air/clean/multivariate.parquet
      md5: ddd6d8e12164629d4a560cac9156eb88
      size: 1851597
    - path: data/air/clean/univariate.parquet
      md5: 37ec29a6334c01dc49525a9b159dff15
      size: 364015
  parameterize@air:
    cmd: ./source/thesis/data/parameterize.py --path_source data/air/clean/univariate.parquet
      --path_destination data/air/clean/univariate_parameterized.parquet
    deps:
    - path: data/air/clean/univariate.parquet
      md5: 37ec29a6334c01dc49525a9b159dff15
      size: 364015
    - path: source/thesis/data/parameterize.py
      md5: 2a12303c8abcddef1443e3732a1c6d77
      size: 2902
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: a34b2dd4265fe9e8810f167fa0f49d44
      size: 5999517
  establish@air:
    cmd: ./source/thesis/data/establish.py --path_source data/air/clean/univariate_parameterized.parquet
      --path_destination data/air/clean/univariate_ground_truth.parquet
    deps:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: a34b2dd4265fe9e8810f167fa0f49d44
      size: 5999517
    - path: source/thesis/data/establish.py
      md5: cd5cf49d0d79dc996fdbc5f7502126fe
      size: 1764
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/air/clean/univariate_ground_truth.parquet
      md5: deb1d452899268210306a8cb4411a5eb
      size: 23102334
  predict_prophet@air:
    cmd: ./source/thesis/model/predict_prophet.py --path_source data/air/clean/univariate_parameterized.parquet
      --path_destination data/air/clean/univariate_predictions_prophet.parquet
    deps:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: a34b2dd4265fe9e8810f167fa0f49d44
      size: 5999517
    - path: source/thesis/model/predict_prophet.py
      md5: 1a43960cf1ae0aa212bdb4ec10fe3c8d
      size: 8809
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/air/clean/univariate_predictions_prophet.parquet
      md5: 5bdf896ec9b9963a83b515465a7b64f8
      size: 96272952
  evaluate_prophet@air:
    cmd: ./source/thesis/data/evaluate.py --path_ground_truth data/air/clean/univariate_ground_truth.parquet
      --path_predictions data/air/clean/univariate_predictions_prophet.parquet --path_destination
      data/air/clean/univariate_errors_prophet.parquet
    deps:
    - path: data/air/clean/univariate_ground_truth.parquet
      md5: deb1d452899268210306a8cb4411a5eb
      size: 23102334
    - path: data/air/clean/univariate_predictions_prophet.parquet
      md5: 5bdf896ec9b9963a83b515465a7b64f8
      size: 96272952
    - path: source/thesis/data/evaluate.py
      md5: e9e721049cfa384b17b5db610a83ad36
      size: 4228
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
    outs:
    - path: data/air/clean/univariate_errors_prophet.parquet
      md5: 4571785f486b02f867471a479df85775
      size: 192277186
  predict_naive@air:
    cmd: ./source/thesis/model/predict_naive.py --path_source data/air/clean/univariate_parameterized.parquet
      --path_destination data/air/clean/univariate_predictions_naive.parquet
    deps:
    - path: data/air/clean/univariate_parameterized.parquet
      md5: a34b2dd4265fe9e8810f167fa0f49d44
      size: 5999517
    - path: source/thesis/model/predict_naive.py
      md5: ebc6c1268e0bdddd36baab2aadc087f2
      size: 2269
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/air/clean/univariate_predictions_naive.parquet
      md5: 407330646418dee1013f1ee635e12211
      size: 12765454
  evaluate_naive@air:
    cmd: ./source/thesis/data/evaluate.py --path_ground_truth data/air/clean/univariate_ground_truth.parquet
      --path_predictions data/air/clean/univariate_predictions_naive.parquet --path_destination
      data/air/clean/univariate_errors_naive.parquet
    deps:
    - path: data/air/clean/univariate_ground_truth.parquet
      md5: deb1d452899268210306a8cb4411a5eb
      size: 23102334
    - path: data/air/clean/univariate_predictions_naive.parquet
      md5: 407330646418dee1013f1ee635e12211
      size: 12765454
    - path: source/thesis/data/evaluate.py
      md5: e9e721049cfa384b17b5db610a83ad36
      size: 4228
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
    outs:
    - path: data/air/clean/univariate_errors_naive.parquet
      md5: 62355938d464567312046089c696fef7
      size: 325254945
  predict_prophet@synthetic:
    cmd: ./source/thesis/model/predict_prophet.py --path_source data/synthetic/clean/univariate_parameterized.parquet
      --path_destination data/synthetic/clean/univariate_predictions_prophet.parquet
    deps:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: a3ed15c486dca24af026b4139eaf109a
      size: 1896166
    - path: source/thesis/model/predict_prophet.py
      md5: 1a43960cf1ae0aa212bdb4ec10fe3c8d
      size: 8809
      isexec: true
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/synthetic/clean/univariate_predictions_prophet.parquet
      md5: 71441b4e4284c3afa8046fe7b5469c76
      size: 22565247
  clean@water:
    cmd: ./data/water/script/clean.py
    deps:
    - path: data/water/raw
      md5: 8cd40c7110a53b12551efe40bf964e5a.dir
      size: 4709509
      nfiles: 1
    - path: data/water/script/clean.py
      md5: 4c7ca8c5eb4ce2cabc175238762bd057
      size: 3538
    outs:
    - path: data/water/clean/multivariate.parquet
      md5: c1e141ab5f7aab74a713a196a84ad89b
      size: 530421
    - path: data/water/clean/univariate.parquet
      md5: aa607bb7c3bde9958b5cf92a43da9400
      size: 387052
  parameterize@water:
    cmd: ./source/thesis/data/parameterize.py --path_source data/water/clean/univariate.parquet
      --path_destination data/water/clean/univariate_parameterized.parquet
    deps:
    - path: data/water/clean/univariate.parquet
      md5: aa607bb7c3bde9958b5cf92a43da9400
      size: 387052
    - path: source/thesis/data/parameterize.py
      md5: 2a12303c8abcddef1443e3732a1c6d77
      size: 2902
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: cf24f08eeb767edc3c684696f3b25e4c
      size: 3449926
  establish@water:
    cmd: ./source/thesis/data/establish.py --path_source data/water/clean/univariate_parameterized.parquet
      --path_destination data/water/clean/univariate_ground_truth.parquet
    deps:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: cf24f08eeb767edc3c684696f3b25e4c
      size: 3449926
    - path: source/thesis/data/establish.py
      md5: cd5cf49d0d79dc996fdbc5f7502126fe
      size: 1764
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/water/clean/univariate_ground_truth.parquet
      md5: 3710bf069bf99d7e7ec5a4dc00a9fc25
      size: 11850710
  predict_naive@water:
    cmd: ./source/thesis/model/predict_naive.py --path_source data/water/clean/univariate_parameterized.parquet
      --path_destination data/water/clean/univariate_predictions_naive.parquet
    deps:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: cf24f08eeb767edc3c684696f3b25e4c
      size: 3449926
    - path: source/thesis/model/predict_naive.py
      md5: ebc6c1268e0bdddd36baab2aadc087f2
      size: 2269
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/water/clean/univariate_predictions_naive.parquet
      md5: 9a28f5b62fe30454d234f10772557c41
      size: 7124836
  evaluate_naive@water:
    cmd: ./source/thesis/data/evaluate.py --path_ground_truth data/water/clean/univariate_ground_truth.parquet
      --path_predictions data/water/clean/univariate_predictions_naive.parquet --path_destination
      data/water/clean/univariate_errors_naive.parquet
    deps:
    - path: data/water/clean/univariate_ground_truth.parquet
      md5: 3710bf069bf99d7e7ec5a4dc00a9fc25
      size: 11850710
    - path: data/water/clean/univariate_predictions_naive.parquet
      md5: 9a28f5b62fe30454d234f10772557c41
      size: 7124836
    - path: source/thesis/data/evaluate.py
      md5: e9e721049cfa384b17b5db610a83ad36
      size: 4228
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
    outs:
    - path: data/water/clean/univariate_errors_naive.parquet
      md5: 9b189f1f7e5e9fce228f46cbb348794c
      size: 176185355
  tabulate_naive@water:
    cmd: ./source/thesis/data/tabulate.py --path_source data/water/clean/univariate_errors_naive.parquet
      --path_destination data/water/clean/univariate_errors_tabulated_naive.parquet
    deps:
    - path: data/water/clean/univariate_errors_naive.parquet
      md5: 9b189f1f7e5e9fce228f46cbb348794c
      size: 176185355
    - path: source/thesis/data/tabulate.py
      md5: 9a689eed294de3021a524f80a2a666e1
      size: 2770
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
        moments:
        - mean
        - std
        - skew
    outs:
    - path: data/water/clean/univariate_errors_tabulated_naive.parquet
      md5: 9ea201910c55996761b40e4168e71d77
      size: 126943
  tabulate_prophet@air:
    cmd: ./source/thesis/data/tabulate.py --path_source data/air/clean/univariate_errors_prophet.parquet
      --path_destination data/air/clean/univariate_errors_tabulated_prophet.parquet
    deps:
    - path: data/air/clean/univariate_errors_prophet.parquet
      md5: 4571785f486b02f867471a479df85775
      size: 192277186
    - path: source/thesis/data/tabulate.py
      md5: 9a689eed294de3021a524f80a2a666e1
      size: 2770
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
        moments:
        - mean
        - std
        - skew
    outs:
    - path: data/air/clean/univariate_errors_tabulated_prophet.parquet
      md5: 3f938ad50eecd57e9d7a8c7476c81820
      size: 126943
  tabulate_naive@air:
    cmd: ./source/thesis/data/tabulate.py --path_source data/air/clean/univariate_errors_naive.parquet
      --path_destination data/air/clean/univariate_errors_tabulated_naive.parquet
    deps:
    - path: data/air/clean/univariate_errors_naive.parquet
      md5: 62355938d464567312046089c696fef7
      size: 325254945
    - path: source/thesis/data/tabulate.py
      md5: 9a689eed294de3021a524f80a2a666e1
      size: 2770
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
        moments:
        - mean
        - std
        - skew
    outs:
    - path: data/air/clean/univariate_errors_tabulated_naive.parquet
      md5: 4e0d45569e512c72227ec9994ba90f27
      size: 125407
  predict_prophet@water:
    cmd: ./source/thesis/model/predict_prophet.py --path_source data/water/clean/univariate_parameterized.parquet
      --path_destination data/water/clean/univariate_predictions_prophet.parquet
    deps:
    - path: data/water/clean/univariate_parameterized.parquet
      md5: cf24f08eeb767edc3c684696f3b25e4c
      size: 3449926
    - path: source/thesis/model/predict_prophet.py
      md5: 1a43960cf1ae0aa212bdb4ec10fe3c8d
      size: 8809
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/water/clean/univariate_predictions_prophet.parquet
      md5: 850a6554e1caa146eb098ce26b793f1c
      size: 46780696
  evaluate_prophet@water:
    cmd: ./source/thesis/data/evaluate.py --path_ground_truth data/water/clean/univariate_ground_truth.parquet
      --path_predictions data/water/clean/univariate_predictions_prophet.parquet --path_destination
      data/water/clean/univariate_errors_prophet.parquet
    deps:
    - path: data/water/clean/univariate_ground_truth.parquet
      md5: 3710bf069bf99d7e7ec5a4dc00a9fc25
      size: 11850710
    - path: data/water/clean/univariate_predictions_prophet.parquet
      md5: 850a6554e1caa146eb098ce26b793f1c
      size: 46780696
    - path: source/thesis/data/evaluate.py
      md5: e9e721049cfa384b17b5db610a83ad36
      size: 4228
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
    outs:
    - path: data/water/clean/univariate_errors_prophet.parquet
      md5: 9be5953c297cd71ebf2a7135ab6fd816
      size: 92641489
  establish@synthetic:
    cmd: ./source/thesis/data/establish.py --path_source data/synthetic/clean/univariate_parameterized.parquet
      --path_destination data/synthetic/clean/univariate_ground_truth.parquet
    deps:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: a3ed15c486dca24af026b4139eaf109a
      size: 1896166
    - path: source/thesis/data/establish.py
      md5: cd5cf49d0d79dc996fdbc5f7502126fe
      size: 1764
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/synthetic/clean/univariate_ground_truth.parquet
      md5: 7c6e7132db7ccdd753476cb6224f2065
      size: 5489989
  predict_naive@synthetic:
    cmd: ./source/thesis/model/predict_naive.py --path_source data/synthetic/clean/univariate_parameterized.parquet
      --path_destination data/synthetic/clean/univariate_predictions_naive.parquet
    deps:
    - path: data/synthetic/clean/univariate_parameterized.parquet
      md5: a3ed15c486dca24af026b4139eaf109a
      size: 1896166
    - path: source/thesis/model/predict_naive.py
      md5: ebc6c1268e0bdddd36baab2aadc087f2
      size: 2269
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
    outs:
    - path: data/synthetic/clean/univariate_predictions_naive.parquet
      md5: 19ad2e76ae957356219550f772e9bfa7
      size: 3048486
  evaluate_naive@synthetic:
    cmd: ./source/thesis/data/evaluate.py --path_ground_truth data/synthetic/clean/univariate_ground_truth.parquet
      --path_predictions data/synthetic/clean/univariate_predictions_naive.parquet
      --path_destination data/synthetic/clean/univariate_errors_naive.parquet
    deps:
    - path: data/synthetic/clean/univariate_ground_truth.parquet
      md5: 7c6e7132db7ccdd753476cb6224f2065
      size: 5489989
    - path: data/synthetic/clean/univariate_predictions_naive.parquet
      md5: 19ad2e76ae957356219550f772e9bfa7
      size: 3048486
    - path: source/thesis/data/evaluate.py
      md5: e9e721049cfa384b17b5db610a83ad36
      size: 4228
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
    outs:
    - path: data/synthetic/clean/univariate_errors_naive.parquet
      md5: 7bc9cc63fa3edea3fd3333cdf82583ef
      size: 119646585
  tabulate_prophet@water:
    cmd: ./source/thesis/data/tabulate.py --path_source data/water/clean/univariate_errors_prophet.parquet
      --path_destination data/water/clean/univariate_errors_tabulated_prophet.parquet
    deps:
    - path: data/water/clean/univariate_errors_prophet.parquet
      md5: 9be5953c297cd71ebf2a7135ab6fd816
      size: 92641489
    - path: source/thesis/data/tabulate.py
      md5: 9a689eed294de3021a524f80a2a666e1
      size: 2770
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
        moments:
        - mean
        - std
        - skew
    outs:
    - path: data/water/clean/univariate_errors_tabulated_prophet.parquet
      md5: e5db85ca0e5b323c3bf16d2724b9a3cc
      size: 130015
  tabulate_naive@synthetic:
    cmd: ./source/thesis/data/tabulate.py --path_source data/synthetic/clean/univariate_errors_naive.parquet
      --path_destination data/synthetic/clean/univariate_errors_tabulated_naive.parquet
    deps:
    - path: data/synthetic/clean/univariate_errors_naive.parquet
      md5: 7bc9cc63fa3edea3fd3333cdf82583ef
      size: 119646585
    - path: source/thesis/data/tabulate.py
      md5: 9a689eed294de3021a524f80a2a666e1
      size: 2770
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
        moments:
        - mean
        - std
        - skew
    outs:
    - path: data/synthetic/clean/univariate_errors_tabulated_naive.parquet
      md5: 34447a6b03962b06958a92c824ecaaab
      size: 125407
  evaluate_prophet@synthetic:
    cmd: ./source/thesis/data/evaluate.py --path_ground_truth data/synthetic/clean/univariate_ground_truth.parquet
      --path_predictions data/synthetic/clean/univariate_predictions_prophet.parquet
      --path_destination data/synthetic/clean/univariate_errors_prophet.parquet
    deps:
    - path: data/synthetic/clean/univariate_ground_truth.parquet
      md5: 7c6e7132db7ccdd753476cb6224f2065
      size: 5489989
    - path: data/synthetic/clean/univariate_predictions_prophet.parquet
      md5: 71441b4e4284c3afa8046fe7b5469c76
      size: 22565247
    - path: source/thesis/data/evaluate.py
      md5: e9e721049cfa384b17b5db610a83ad36
      size: 4228
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
    outs:
    - path: data/synthetic/clean/univariate_errors_prophet.parquet
      md5: 27aab3ade30af110e3384dffe954983c
      size: 45035558
  tabulate_prophet@synthetic:
    cmd: ./source/thesis/data/tabulate.py --path_source data/synthetic/clean/univariate_errors_prophet.parquet
      --path_destination data/synthetic/clean/univariate_errors_tabulated_prophet.parquet
    deps:
    - path: data/synthetic/clean/univariate_errors_prophet.parquet
      md5: 27aab3ade30af110e3384dffe954983c
      size: 45035558
    - path: source/thesis/data/tabulate.py
      md5: 9a689eed294de3021a524f80a2a666e1
      size: 2770
    params:
      params.yaml:
        aggregations:
          methods:
          - overlap
          - isolate
          functions:
          - max
          - mean
          sizes:
          - 1
          - 2
          - 3
          - 4
          - 5
          - 6
          - 9
          - 12
          - 24
          - 48
          - 72
          - 96
          - 120
          - 144
          - 168
        metrics:
        - rmse
        - rrse
        moments:
        - mean
        - std
        - skew
    outs:
    - path: data/synthetic/clean/univariate_errors_tabulated_prophet.parquet
      md5: 1ed094281e130af461b8a402242aed0f
      size: 126943