dvc.lock

schema: '2.0'
stages:
  extract_dataset:
    cmd: python .\src\data\extract_dataset.py
    deps:
    - path: .\data\raw\zipped
      hash: md5
      md5: 2ac9e57fc0bc2d2a1a610a695529d479.dir
      size: 87295035
      nfiles: 2
    - path: .\src\data\extract_dataset.py
      hash: md5
      md5: e13ce767752277added5382c0f74dfe9
      size: 1711
    outs:
    - path: .\data\raw\extracted
      hash: md5
      md5: 07dcb976ec534725901d50758a399273.dir
      size: 271383386
      nfiles: 2
  make_dataset:
    cmd: python .\src\data\make_dataset.py train.csv
    deps:
    - path: .\data\raw\extracted\train.csv
      hash: md5
      md5: e59c291a4b1c640f1dab33b89daa22e1
      size: 200589097
    - path: .\src\data\make_dataset.py
      hash: md5
      md5: 63f7cb7eb76659d9face16c29dc0e15b
      size: 4052
    params:
      params.yaml:
        make_dataset.random_state: 30
        make_dataset.test_size: 0.1
    outs:
    - path: .\data\interim
      hash: md5
      md5: 5441a97a8e44bdeb11d92d9f11b71186.dir
      size: 197004804
      nfiles: 2
  modify_features:
    cmd: python .\src\features\modify_features.py data/interim/train.csv data/interim/val.csv
      data/raw/extracted/test.csv
    deps:
    - path: .\data\interim\train.csv
      hash: md5
      md5: 9282cea0cb6ddf4bdcca66b54678d900
      size: 177304798
    - path: .\data\interim\val.csv
      hash: md5
      md5: a41f9bd08b4d05d4701038b4a609104f
      size: 19700006
    - path: .\data\raw\extracted\test.csv
      hash: md5
      md5: 0686e4fc98617485dba9fdbabbf1c48d
      size: 70794289
    - path: .\src\features\modify_features.py
      hash: md5
      md5: 101954674b493f450de41d3ade407aed
      size: 9064
    outs:
    - path: .\data\processed\transformations
      hash: md5
      md5: eb8e4295d496ba625c38a500d63ba12d.dir
      size: 208192931
      nfiles: 3
  build_features:
    cmd: python .\src\features\build_features.py data/processed/transformations/train.csv
      data/processed/transformations/val.csv data/processed/transformations/test.csv
    deps:
    - path: .\data\processed\transformations\test.csv
      hash: md5
      md5: 2b77a8e04bfa86ff4e9e7f475c34f001
      size: 56394464
    - path: .\data\processed\transformations\train.csv
      hash: md5
      md5: 8b13bb1fae56714208a779f2d2c9a7c8
      size: 136614671
    - path: .\data\processed\transformations\val.csv
      hash: md5
      md5: 1e2b47d7113ff47296ad9fb36cdc8472
      size: 15183796
    - path: .\src\features\build_features.py
      hash: md5
      md5: 72d6e05893eece88723b591b9ebbf870
      size: 2250
    outs:
    - path: .\data\processed\build-features
      hash: md5
      md5: 32a5a2e6cd272e22860adbd7bac1348c.dir
      size: 331246740
      nfiles: 3
  data_preprocessing:
    cmd: python .\src\features\data_preprocessing.py train.csv val.csv test.csv
    deps:
    - path: .\data\processed\build-features\test.csv
      hash: md5
      md5: 7f579e643d6352b7b311a5ba7062d2a8
      size: 93345469
    - path: .\data\processed\build-features\train.csv
      hash: md5
      md5: fd3df5bb8d535640a6b5f07fff333311
      size: 214106185
    - path: .\data\processed\build-features\val.csv
      hash: md5
      md5: 7c5f78bd281035f2d4c220858b4888ac
      size: 23795086
    - path: .\src\features\data_preprocessing.py
      hash: md5
      md5: eed63e4299e98a2989478d6f0678278f
      size: 7539
    params:
      params.yaml:
        data_preprocessing.percentiles:
        - 0.002
        - 0.998
    outs:
    - path: .\data\processed\final
      hash: md5
      md5: b22b82a594bf7227d55905b602b20e91.dir
      size: 351588991
      nfiles: 3
    - path: .\models\transformers
      hash: md5
      md5: d8165f9efb0cac74a6bce75407ee523d.dir
      size: 7529
      nfiles: 3
  train_model:
    cmd: python .\src\models\train_model.py data/processed/final/train.csv
    deps:
    - path: .\data\processed\final\train.csv
      hash: md5
      md5: 5f9906c51a1abce4bd8530a0bb780528
      size: 229128192
    - path: .\src\models\train_model.py
      hash: md5
      md5: 612aadd8d39f25061fe735f747a24c5b
      size: 1817
    params:
      params.yaml:
        train_model.random_forest_regressor.max_depth: 5
        train_model.random_forest_regressor.n_estimators: 20
        train_model.random_forest_regressor.n_jobs: -1
        train_model.random_forest_regressor.verbose: 2
    outs:
    - path: .\models\models
      hash: md5
      md5: 0d348acd440525c27f292bbb98d4ddd4.dir
      size: 98849
      nfiles: 1
  predict_model:
    cmd: python .\src\models\predict_model.py train.csv val.csv
    deps:
    - path: .\data\processed\final\val.csv
      hash: md5
      md5: 28da71eff09a2ce8c92c0aa06d48816c
      size: 25463541
    - path: .\models\models
      hash: md5
      md5: 0d348acd440525c27f292bbb98d4ddd4.dir
      size: 98849
      nfiles: 1
    - path: .\src\models\predict_model.py
      hash: md5
      md5: 0665467fc68846f046db803dc4900d48
      size: 1641