Commits · 880ff78f34b20eb515492cc0542777f31e5f666f · Luc Giffon / bolsonaro · GitLab

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Dec 18, 2019
- - Add an option to not use the best hyperparameters file; · 880ff78f
  Charly Lamothe authored 5 years ago
  880ff78f
- - Replace the futures concurrence by joblib Parallel (and add optional tqdm progress bar); · 11017545
  Charly Lamothe authored 5 years ago
  11017545
Dec 01, 2019
- - Add standard dataset scaling for dataset normalization; · f61314f3
  Charly Lamothe authored 5 years ago
  f61314f3
Nov 22, 2019
- - Split train function in three distinct functions; · a0f7c96f
  Charly Lamothe authored 5 years ago
  a0f7c96f
- When training, look if there is bayesian search results, if yes use this.... · c66d117d
  Léo Bouscarrat authored 5 years ago
  c66d117d
- add multiclass classifier mais attention ya un bug dans le calcul du score · 5e50bbaa
  Luc Giffon authored 5 years ago
  
  5e50bbaa
Nov 21, 2019
- Big changes: Create intermediate classes OMPForest and SingleOmpForest for... · 3f5cdf68
  Luc Giffon authored 5 years ago
  3f5cdf68
Nov 20, 2019
- Add functions to do bayesian hyperparameters search · bf5803b6
  Léo Bouscarrat authored 5 years ago
  
  bf5803b6
Nov 09, 2019
- Fix a spelling mistake in train.py. · 211dc83a
  Charly LAMOTHE authored 5 years ago
  
  211dc83a
- - Add experiment_configuration parameter to run an experiment from a json... · 789a11a6
  Charly LAMOTHE authored 5 years ago
  789a11a6
- - Compute each computations of a given seed in a dedicated job; · cb0030d8
  Charly LAMOTHE authored 5 years ago
  cb0030d8
Nov 08, 2019
- Add the weights normalization parameter (but not implemented yet) · 0fce0319
  Charly LAMOTHE authored 5 years ago
  
  0fce0319
Nov 06, 2019
- Replace use_dev_subset by subsets_used parameter, in order to specify more... · 7455fd98
  Charly LAMOTHE authored 5 years ago
  7455fd98
Nov 05, 2019
- Train the forest on train and OMP on dev OR train both the forest and OMP on train+dev · 28b804c6
  Charly LAMOTHE authored 5 years ago
  
  28b804c6
- Add an option to disable the progress bars · 9199d9bb
  Charly LAMOTHE authored 5 years ago
  
  9199d9bb
- Uppercased default consts · 306656fc
  Charly LAMOTHE authored 5 years ago
  
  306656fc
- - Finish plot_losses implementation; · 5e990b2b
  Charly LAMOTHE authored 5 years ago
  5e990b2b
- Add dataset normalization, and distinguish D normalization and dataset normalization in the options · 00ed2453
  Charly LAMOTHE authored 5 years ago
  
  00ed2453
- - Add progress bar during training; · 2cc31d8c
  Charly LAMOTHE authored 5 years ago
  2cc31d8c
Nov 04, 2019
- - In compute_results, add loadenv, load raw results, and update experiment_ids... · 8b8eb9a5
  Charly LAMOTHE authored 5 years ago
  8b8eb9a5
- - Add train_on_subset option to specify on which subset the model will be... · 3c6dc3e5
  Charly LAMOTHE authored 5 years ago
  3c6dc3e5
- now the model can make predictions: todo: manage result recording · d7865314
  Luc Giffon authored 5 years ago
  
  d7865314
- support for normalize parameter + optimisation on train (wtf was that for loop) · b62b7df7
  Luc Giffon authored 5 years ago
  
  b62b7df7
- Add few comments/docstring + update gitignore with models files + update readme for .env variables · 690cf820
  Luc Giffon authored 5 years ago
  
  690cf820
- rassemble le code dans un répertoire 'code' + update setup.py en conséquence +... · 87115964
  Luc Giffon authored 5 years ago
  87115964
Nov 03, 2019
- - Finish training part (TODO: normalization implementation) · cb400cc6
  Charly LAMOTHE authored 5 years ago
  cb400cc6
Oct 24, 2019
- Initial commit of clean scripts branch · aae78b61
  charly.lamothe authored 5 years ago
  
  aae78b61