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  1. Mar 06, 2020
  2. Mar 05, 2020
  3. Jan 08, 2020
  4. Dec 29, 2019
  5. Dec 26, 2019
    • Charly Lamothe's avatar
      - Add code for stages 2 and 3 results; · 8de5e96a
      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).
      8de5e96a
  6. Dec 20, 2019
    • Charly Lamothe's avatar
      - Unignore results; · 51ba8a0e
      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).
      51ba8a0e
  7. Dec 19, 2019
  8. Dec 18, 2019
    • Charly Lamothe's avatar
      - Add an option to not use the best hyperparameters file; · 880ff78f
      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.
      880ff78f
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