0.6.5 release

SMOTE_PSOBAT json serialization fix

0.6.4 release

ss_params bug fix

0.6.3

Another bug fix.

0.6.1 release

A bug fix in the evaluation functionalities.

0.6.0 release

• vectorized implementations for most of the techniques to boost performance
• a refactored and improved evaluation and model selection toolkit
• 100% test coverage
• 10.0 PEP8 conformancy (by pylint)
• polynom_fit_SMOTE split into 4 different techniques

0.5.1 release

In the 0.5.1 release the package description was corrected in addition to the changes in the 0.5.0 release:

A decent refactoring was carried out by splitting the individual oversamplers to separate files.
SYMPROD added as the 86th oversampler implemented, thanks to @intouchkun
An experimental feature: metric learning to determine the metric to be used for neighborhood estimation added to 69 oversamplers.
A sample notebook to illustrate metric learning backed oversampling was added.
Support and CI pipelines for Python 3.9 and 3.10 added.

0.5.0 release: refactoring, metric learning, new oversampler

In the 0.5.0 release:

1. A decent refactoring was carried out by splitting the individual oversamplers to separate files.
2. SYMPROD added as the 86th oversampler implemented, thanks to @intouchkun
3. An experimental feature: metric learning to determine the metric to be used for neighborhood estimation added to 69 oversamplers.
4. A sample notebook to illustrate metric learning backed oversampling was added.
5. Support and CI pipelines for Python 3.9 and 3.10 added.

0.4.0 PEP8 facelifting and minor bug fixes

• code refactored to fulfill PEP8 standards
• minor bug fixes

0.3.13 version bump

This patch fixes some pickle dumping performance issues.

0.3.12

Update _version.py