Gama

First PyPI release. Includes:
- GamaClassifier and Regressor
- Configurable AutoML pipeline with multiple search methods and post processing steps
- WIP Log visualization

Would love feedback

This version specifies an upper limit on the installed scikit-learn version.
GAMA is incompatible with versions >=1.3, as it builds on scikit-learn internals that changed.

**Full Changelog**: https://github.com/openml-labs/gama/compare/v23.0.0...v23.0.0.post1

What's Changed
* Updating devtools, removing dashboard by PGijsbers in https://github.com/openml-labs/gama/pull/192
* Bump to minimum Py3.9 by PGijsbers in https://github.com/openml-labs/gama/pull/195
* Refactor by PGijsbers in https://github.com/openml-labs/gama/pull/196
* Add back preset hyperparameter (was `goal` in 21.0.1) by PGijsbers in https://github.com/openml-labs/gama/pull/203

New Contributors
* darigovresearch Added license to readme by darigovresearch in https://github.com/openml-labs/gama/pull/187

**Full Changelog**: https://github.com/openml-labs/gama/compare/v22.0.0...v23.0.0

What's Changed

Bugfixes:
- 137: raise an output if ``output_directory`` is non-empty.
- 174: Fix an issue where GAMA might freeze in when ending search.

Features:
- ASHA resources can now also be specified as fraction of the dataset size by using a float in (0, 1].

Changes:
- 138: Instead of subsampling the whole dataset before doing CV, the same test set is used across rungs and only
the training folds are subsampled. This makes performance comparable across rungs.
- AsyncEA will try to delay creating new individuals as long as possible.
- AsyncEA will no longer create offspring from pipelines with failed evaluations (e.g., timeout, invalid configuration).

Maintenance:
- Adopt [NEP 29](https://numpy.org/neps/nep-0029-deprecation_policy.html):
- Drop support for Python 3.6 and 3.7
- Add support for Python 3.10
- Use pyproject.toml instead of setup.py
- Transition to Github CI, including:
- pytest on pull request
- pytest CRON job with prerelease versions
- doc build and deploy
- pre-commit check
- check for changelog
- easy release to pypi from github workflow
- Small changes to avoid FutureWarnings and/or DeprecationWarnings.


New Contributors
* himanshu007-creator made their first contribution in https://github.com/openml-labs/gama/pull/118
* chclam made their first contribution in https://github.com/openml-labs/gama/pull/148

**Full Changelog**: https://github.com/openml-labs/gama/compare/21.0.0...v22.0.0

--------------

Features:
- The ``warm_start`` parameter of ``fit()`` had a slight behavior change (see docs).
- Fit can now be called more than once. It will use the same time constraint as the first fit call.

Bugfixes:
- TargetEncoder is no longer used for Classification tasks, since there is a [bug](https://github.com/scikit-learn-contrib/category_encoders/issues/182) that prevents it from working as intended.

Changes:

- \ 24: Changes to logging
The structure of the log file(s) have changed.
The goal is to make the log files easier to use, by making them easier to read and
easier to extend write behavior.
There will now be three log files, one which contains just evaluation data, one which contains progress data, and one which contains resource usage data.
For more information see :ref:`logging-section` in the technical guide.


Features:
- \ 66: csv files are now supported.
Call `fit_arff` is now `fit_from_file` which accepts both arff and csv files.
The CLI interface and Gama Dashboard also allow for csv files.
- \ 92: You can specify a memory limit through `max_memory_mb` hyperparameter.
GAMA does not guarantee it will not violate the constraint, but violations
should be infrequent and minor. Feel free to open an issue if you experience a
violation which does not minor.