dvc.lock

schema: '2.0'
stages:
  data_preprocessing:
    cmd: python .\src\data_preprocessing.py data/raw/data.csv
    deps:
    - path: .\data\raw\data.csv
      hash: md5
      md5: dac3fd7ac8a87f7ec2c100bcbbf8aa3c
      size: 512945
    - path: .\src\data_preprocessing.py
      hash: md5
      md5: 561034977df5e6d35c5b3afe1e7f0efe
      size: 4387
    params:
      params.yaml:
        data_preprocessing.MinMaxScaler.feature: tempo
        data_preprocessing.SimpleImputer.feature:
        - Romantic Ballad
        - Dance Pop
        - Sad Ballad
        - Folk Fusion
        - Classical Fusion
        - Qawwali
        - Sufi
        - Party Anthem
        - Patriotic
        - Rock Fusion
        - Item Number
        - Lyrical Rap
        - Devotional
        - Ghazal
        - Retro
        - Comedy
        - Motivational
        - Wedding
        - Festival
        data_preprocessing.SimpleImputer.fill_value: 0
        data_preprocessing.SimpleImputer.strategy: constant
        data_preprocessing.feature:
        - acousticness
        - danceability
        - energy
        - speechiness
        - tempo
        - valence
        - liveness
        - loudness
        - mode
        - Romantic Ballad
        - Dance Pop
        - Sad Ballad
        - Folk Fusion
        - Classical Fusion
        - Qawwali
        - Sufi
        - Party Anthem
        - Patriotic
        - Rock Fusion
        - Item Number
        - Lyrical Rap
        - Devotional
        - Ghazal
        - Retro
        - Comedy
        - Motivational
        - Wedding
        - Festival
        - artist_name
        data_preprocessing.pipe.feature: artist_name
    outs:
    - path: .\data\processed
      hash: md5
      md5: cabed492cb71ae86376015314a8c44a1.dir
      size: 432261
      nfiles: 1
    - path: .\preprocessor
      hash: md5
      md5: 62549ec8cea5e10f79a144d49aa1a37f.dir
      size: 3785
      nfiles: 1
  model_training:
    cmd: python .\src\model_training.py data/processed/data.csv
    deps:
    - path: .\data\processed\data.csv
      hash: md5
      md5: ab6336afcbfec65845ce2ce2712b582e
      size: 432261
    - path: .\src\model_training.py
      hash: md5
      md5: 49a3cc2ada190ee2bb65fbf52b9421ac
      size: 829
    outs:
    - path: .\models
      hash: md5
      md5: 2f8aea1613cfc9a4aa8d6a735b1faec9.dir
      size: 16704364
      nfiles: 1