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Luc manage normalization

Merged Luc Giffon requested to merge luc_manage_normalization into wip_clean_scripts
5 files
+ 49
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  • - Add train_on_subset option to specify on which subset the model will be trained (either train or dev);
    - find_dotenv() only working by specifying the example env on my machine?
    - Add the seeds option to specify the seed(s) to use, and remove the use_random_seed, because it's obv if random_seed_number is used;
    - Use a logger in train.py instead of prints.
@@ -71,7 +71,7 @@ class DatasetLoader(object):
test_size=dataset_parameters.dev_size,
random_state=dataset_parameters.random_state)
# TODO
# TODO?
if dataset_parameters.normalize:
pass
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