- Jan 08, 2020
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Charly Lamothe authored
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- Dec 20, 2019
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Charly Lamothe authored
- Even if hyperparameters file is ignore with skip_best_hyperparams option, still use the same forest_size to be comparable; - Update experiment files for stage1 wo_param experiments (using the same forest size as the with_params experiments); - In compute_results: remove useless folder creation; temporary add extracted_forest_sizes_number option to specify the extracted forest sizes number; temporary not plotting train and dev losses in stage1 loss values figure; - In plotter, clean-up stage1 figure generation; - Add first unbiased losses plot (stage1: best params vs default params in california housing dataset).
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- Dec 01, 2019
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Charly Lamothe authored
- Ignore unamed experiment configuration file backups; - Factorize default dataset loading parameters; - Add missing return_X_y in basic dataset loaders.
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- Nov 26, 2019
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Léo Bouscarrat authored
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- Nov 22, 2019
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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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- Nov 21, 2019
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Luc Giffon authored
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- Nov 06, 2019
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Léo Bouscarrat authored
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- Nov 04, 2019
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Luc Giffon authored
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Luc Giffon authored
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Luc Giffon authored
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- Sep 25, 2019
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Luc Giffon authored
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