- Jan 08, 2020
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Charly Lamothe authored
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Charly Lamothe authored
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Charly Lamothe authored
- Add stage4 (results and experiments); - Do not save model object.
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- Jan 07, 2020
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Charly Lamothe authored
- Add diamonds in experiment scripts and add factorize run_compute_results.sh script; - Add best params for diamonds dataset.
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- Jan 06, 2020
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Charly Lamothe authored
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Charly Lamothe authored
Add quick working version of diamonds dataset to test that the improvement of OMP are consistent in other regression tasks.
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Charly Lamothe authored
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- Dec 29, 2019
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Charly Lamothe authored
- Remove extracted_forest_sizes_number parameter from compute_results.py and retreive the value instead; - Add almost all remaining experiment config files of stages 1, 2 and 3; - Add almost all remaining result plots of stages 1, 2 and 3; - Add some temporary scripts to run all stages experiments.
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- Dec 26, 2019
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Charly Lamothe authored
- Add command lines example for stage 3; - Add experiment_id option that is useful sometimes; - Fix subsets_used param; - Remove experiment_id in config experiment file names; - Add config experiment files for stages 2 and 3; - Add results for stages 2 and 3 (california_housing).
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Charly Lamothe authored
- Fix possible issues for extracted forest sizes computation: around to reduce possible zeroes and remove duplicates; - Create output experiment stage dir if not exists; - Add base_score_metric to model raw results class; - Add best params for lfw_pairs (maybe try with a larger number of random seeds since the score is not that high).
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- Dec 25, 2019
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Charly Lamothe authored
- Remove useless getter in Dataset class.
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- Dec 20, 2019
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Charly Lamothe authored
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Charly Lamothe authored
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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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Charly Lamothe authored
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Charly Lamothe authored
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Charly Lamothe authored
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- Dec 19, 2019
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Léo Bouscarrat authored
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Léo Bouscarrat authored
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Charly Lamothe authored
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Charly Lamothe authored
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Charly Lamothe authored
- Fix some variable names; - Add exp files of stage1 for california housing
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Charly Lamothe authored
- Reduce the extracted forest sizes upper bound and number because OMP seems to converge only with small forest sizes; - Add extraction_strategy parameter in order to save base forest and the forests trained with the same size as the extracted forest sizes used in the experiment that used OMP.
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- Dec 18, 2019
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Charly Lamothe authored
POC of possible wrong way to compute best hyperparams. Are there the best only before the application of OMP extraction?
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Charly Lamothe authored
- Definitely use the correct forest size (either the one from best hyperparameters or the one specified in parameter); - Use a number of extracted forest sizes proportional as the forest size instead of fixed forest size; - Add an option to save the current command line name instead of using the unamed directory; - Add new california housing dataset best hyperparameters, and convert all value types that are number from string to int/float in other best hyperparameter files; - Remove useless code from compute_results.py in prevision of the changes; - Before best hyperparameters saving, save number as int or float instead of string; - Add job_number option for parallelisation in both train.py and compute_hyperparameters.py scripts; - Clean-up TODO list.
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Charly Lamothe authored
- Add new best params for 7 datasets.
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- Dec 01, 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
- Ignore unamed experiment configuration file backups; - Factorize default dataset loading parameters; - Add missing return_X_y in basic dataset loaders.
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Charly Lamothe authored
Finish to fix sklearn dataset fetchers. Keep 20newsgroups_vectorized instead of non vectorized version that is the preprocessed version of this text dataset. Remove kddcup99 dataset.
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- Nov 29, 2019
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Charly Lamothe authored
Fix most of the missing dataset fetchers. Remainings: 20newsgroups, 20newsgroups_vectorized, kddcup99
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Charly Lamothe authored
Farah notation and related work See merge request !7
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Charly Lamothe authored
# Conflicts: # .gitignore
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Charly Lamothe authored
clean scripts See merge request !3
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- Nov 26, 2019
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Léo Bouscarrat authored
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Léo Bouscarrat authored
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Léo Bouscarrat authored
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