- Nov 27, 2019
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Charly Lamothe authored
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Charly Lamothe authored
- Add the metric name used in trainer.py logging; - Fix arg "subsets_used" in train.py.
- Nov 26, 2019
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Charly Lamothe authored
- Remove useless load function of model_factory - Replace hyperparameters files with new ones
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- Nov 22, 2019
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Charly Lamothe authored
- Update TODO list.
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Charly Lamothe authored
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Charly Lamothe authored
- Move bolsonaro imports on top of the file in compute_hyperparam file; - Move change_binary_func_load to utils file.
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Charly Lamothe authored
- Update wrong load_dotenv in compute_results and compute_hyperparams; - Replace old remaining task.CLASSIFICATION enum.
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Charly Lamothe authored
- Fix small typos and issues; - Add some best hyperparameters (TODO: fix score for regression task, and separate best parameters for regression and classif tasks).
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Léo Bouscarrat authored
When training, look if there is bayesian search results, if yes use this. Exception: forest_size use the one given by parser if applicable
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Luc Giffon authored
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Luc Giffon authored
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- Nov 21, 2019
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Luc Giffon authored
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Luc Giffon authored
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Luc Giffon authored
Big changes: Create intermediate classes OMPForest and SingleOmpForest for code factoring: share code between OmpForestRegressor and OmpForestBinaryClassifer. Remove set_wweights and set_forest which are not relevant anymore. load function from model_factory isn't trustfull now: raises an error. TODO: multiclass classifier
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Luc Giffon authored
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- Nov 20, 2019
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Léo Bouscarrat authored
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- Nov 09, 2019
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Charly LAMOTHE authored
Introduce the notion of "stage" in the experiments (see TODO comment in compute_results.py file. Add example of experiment configuration file tree in experiments/boston/stage3 for stage 3 (unoptimized parameters due to missing stage 1 and 2 results).
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
- Add experiment_configuration parameter to run an experiment from a json configuration file. If the experiment configuration are commnig from the arguments, save it to a file to keep trace of it; - Add few comments in train.py.
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Charly LAMOTHE authored
- Use as much CPU as possible when training a random forest regressor.
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- Nov 08, 2019
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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- Nov 06, 2019
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Charly LAMOTHE authored
Replace use_dev_subset by subsets_used parameter, in order to specify more clearly which combination of train dev to used to train the forest and OMP
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Charly Lamothe authored
Resolve "Add plots" See merge request !5
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Charly LAMOTHE authored
- Add a TODO for the subset in train - Remove an useless new line
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Léo Bouscarrat authored
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Léo Bouscarrat authored
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- Nov 05, 2019
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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Charly LAMOTHE authored
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