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TODO.md

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    • Charly Lamothe's avatar
      880ff78f
      - 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
      History
      - Add an option to not use the best hyperparameters file;
      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.
    TODO.md 171 B
    • Fix model results loading in compute_results.py.
    • Check that omp multiclasses classifier is working as expected.
    • Fix the dataset error of fetcher when job_number > 1.