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Commits on Jan 2, 2025

• Update README.md

  vgarciasc

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Commits on Mar 16, 2024

• Merge pull request #33 from vgarciasc/progress_bar_fix

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  vgarciasc

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Commits on Feb 8, 2024

• fixed dependencies

  eugenioLR

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  94031a8

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• fixed bug for disabled progress bar

  eugenioLR

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• formatted code

  eugenioLR

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• migrated back to rich progress bars

  eugenioLR

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• added tests for progress bars

  eugenioLR

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Commits on Nov 29, 2023

• Merge pull request #27 from vgarciasc/hyperparam-optim

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  vgarciasc

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• fixing some minor mistakes in docstrings

  vgarciasc

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Commits on Nov 28, 2023

• fixed typo in exception

  eugenioLR

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• added types to documentation

  eugenioLR

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Commits on Nov 27, 2023

• added tests and fixed bugs

  eugenioLR

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  8f696a9

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• added hyperparameter optimization module

  eugenioLR

  committed
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• Merge pull request #26 from vgarciasc/seeding

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  eugenioLR

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• fixed classification tests, removed redundant zip and fixed argument order in classifier and regressor classes

  eugenioLR

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Commits on Nov 26, 2023

• adding 'How is the data used?' to README

  vgarciasc

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• setting n_val_evals default to 1

  vgarciasc

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• renaming n_cv_evals to n_val_evals

  vgarciasc

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Commits on Nov 24, 2023

• adapting plots to use new dataframe report style

  vgarciasc

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• fixing docstrings

  vgarciasc

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• refactoring base to allow for different seeds when training, also adding full_report

  vgarciasc

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Commits on Nov 23, 2023

• Merge pull request #25 from vgarciasc/black-format

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• adding Black spec to README.md

  vgarciasc

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Commits on Nov 21, 2023

• moved package to src/ directory, there was issues installing the package

  eugenioLR

  committed
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Commits on Nov 20, 2023

• fixed unnecesarily split strings

  eugenioLR

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• fixed bug where the package refused to intall, moved all package info to pyproject.toml

  eugenioLR

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Commits on Nov 17, 2023

• reformatted code

  eugenioLR

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• Merge pull request #23 from vgarciasc/normalization

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  eugenioLR

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• fixed bug where LinearSVRs didn't recognize dual='auto'. The make_scorer is now called before instantiating the GridSearchCV class.

  eugenioLR

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• removed n_folds as a parameter since it is obsolete

  vgarciasc

  committed
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• added 'seed_train_test' as a parameter and renamed 'seed_strategy' to 'seed_cv_strategy'

  vgarciasc

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Commits on Nov 16, 2023

• fixed issue where optim_hyper didn't consider eval_metric

  vgarciasc

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Commits on Nov 4, 2023

• added tests for normalization and changed smaller amount of models for other tests

  eugenioLR

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• merged with latest update in the main branch

  eugenioLR

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• Merge pull request #21 from vgarciasc/stratify

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  eugenioLR

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