BoTZ-TND
/
datastorm-2021
mirror of https://github.com/BoTZ-TND/datastorm-2021.git


  
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            feature:
  cmd: python src/models/Cat-Boost/featurize.py data/data data/feature
  deps:
  - path: data/data
    md5: e7bca3c665cd3995619c17283791527b.dir
    size: 5070940
    nfiles: 5
  - path: src/models/Cat-Boost/featurize.py
    md5: a60d5c74fc1218e52c11fa405a24832b
    size: 6364
  params:
    params.yaml:
      featurize.fs_select: 1
  outs:
  - path: data/feature
    md5: dfb957b823f77f483546aedea535a9e8.dir
    size: 2462995
    nfiles: 7
train:
  cmd: python src/models/Cat-Boost/train.py data/feature/cb_train.csv
  deps:
  - path: data/feature/cb_train.csv
    md5: e9bb86e7fd3f31bf477944a55555d8a2
    size: 760886
  params:
    params.yaml:
      train.folds: 3
      train.lr: 0.01
      train.n_estimators: 1000
      train.objective: multi:softmax
      train.param_comb: 10
      train.score: f1_weighted
      train.seed: 443
  outs:
  - path: parameters.json
    md5: 0ef70e7e52495756dbbd86029c910218
    size: 188
evaluation:
  cmd: python src/models/kitchen_sink/evaluate.py data/feature data/model/xgb-cl.pkl
  deps:
  - path: data/feature
    md5: 82aac902014079161d10e6ecadc8456a.dir
    size: 1513011
    nfiles: 4
  - path: src/models/kitchen_sink/parameters.json
    md5: 3713a1c0481349a0c8b683db04b0d1e4
    size: 94
  params:
    params.yaml:
      train.lr: 0.01
      train.n_estimators: 1000
      train.objective: multi:softmax
  outs:
  - path: data/model/xgb-cl.pkl
    md5: ab2ae7ced4152bbad6c8d95563b521f7
    size: 1336090
  - path: score.json
    md5: 29cf67fa0c662429af9e903dd9393d5c
    size: 276