- In compute_results, add loadenv, load raw results, and update experiment_ids...
- In compute_results, add loadenv, load raw results, and update experiment_ids so that it's possible to specify a list of experiments ids. The default behavior is to load all exp ids; - Fix normalization option in train.py. By default it normalizes D, and it doesn't when specify wo_normalization option; - Fix logger.warn to logger.warning in train.py - Replace the dumping of result in trainer.py by a dedicated class to save and load the trained model and training metadatas: model_raw_results.py; - Rename too long func DatasetLoader.load_from_name to DatasetLoader.load; - Add loading functions in dataset_parameters and model_parameters; - Set console logging level to INFO to summarize the most important console logs; - Add a load function in model_factory; - In omp_forest_regressor, move private funcs to the bottom of the file. TODO: compute the plot from the loaded raw results in compute_results file.
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- code/bolsonaro/data/dataset_loader.py 1 addition, 1 deletioncode/bolsonaro/data/dataset_loader.py
- code/bolsonaro/data/dataset_parameters.py 13 additions, 0 deletionscode/bolsonaro/data/dataset_parameters.py
- code/bolsonaro/error_handling/logger_factory.py 1 addition, 1 deletioncode/bolsonaro/error_handling/logger_factory.py
- code/bolsonaro/models/model_factory.py 12 additions, 0 deletionscode/bolsonaro/models/model_factory.py
- code/bolsonaro/models/model_parameters.py 11 additions, 0 deletionscode/bolsonaro/models/model_parameters.py
- code/bolsonaro/models/model_raw_results.py 105 additions, 0 deletionscode/bolsonaro/models/model_raw_results.py
- code/bolsonaro/models/omp_forest_regressor.py 56 additions, 50 deletionscode/bolsonaro/models/omp_forest_regressor.py
- code/bolsonaro/trainer.py 8 additions, 19 deletionscode/bolsonaro/trainer.py
- code/compute_results.py 35 additions, 8 deletionscode/compute_results.py
- code/train.py 13 additions, 6 deletionscode/train.py
- models/.gitkeep 0 additions, 0 deletionsmodels/.gitkeep
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