v0.2.5

What's Changed

• doc: add readme sections for scikit-learn compatibility and benchmarks by @msamsami in #32
• maint: Add utility functions + minor improvements by @msamsami in #33

Full Changelog: v0.2.4...v0.2.5

v0.2.4

What's Changed

• Add Student's t and Rayleigh distributions by @msamsami in #31

Full Changelog: v0.2.3...v0.2.4

v0.2.3

What's Changed

• Package restructure, update dependencies for numpy, add pyproject.toml by @msamsami in #29
• Update version (v0.2.3) by @msamsami in #30

Full Changelog: v0.2.2...v0.2.3

v0.2.2

What's Changed

Changelog v0.2.2:

• Add performance benchmarking scripts by @msamsami in #23
• Add GitHub workflow action to run tests on PR by @msamsami in #25
• Ignore pytest warnings
• Add GitHub workflow action to check code format on PR by @msamsami in #26
• Use black v24 to reformat the code
• Use an internal method to get the distribution object in GeneralNB by @msamsami in #24
• Update README badges, starting section, and wnb logo by @msamsami in #27
• Update requirements, update supported Python versions (drop 3.7, add support for 3.12) by @msamsami in #28

Full Changelog: v0.2.1...v0.2.2

v0.2.1

What's Changed

Changelog v0.2.1:

• Adhere to sklearn's docstring and type hint format
• Add an internal typing file for type hints
• Use a case-insensitive enum meta class for enums
• Add setup.cfg file

v0.2.0

What's Changed

Changelog v0.2.0:

• Add unit tests for discrete distributions
• Fix bug in the pmf method of categorical and poisson distributions
• Fix issues in dependencies' versions
• Add example scripts for using GaussianWNB and GeneralNB

v0.1.20

What's Changed

Changelog v0.1.20:

• Fix bug in estimating LognormalDist parameters from data
• Fix bug in calculating LognormalDist PDF
• Add unit tests for the dist module with the following items:
  • Test correctness of name attribute of distributions
  • Test correctness of _support attribute of distributions
  • Test NormalDist.pdf method against scipy.stats.norm.pdf method
  • Test LognormalDist.pdf method against scipy.stats.lognorm.pdf method
  • Test out-of-support warning of LognormalDist.pdf method
  • Test ExponentialDist.pdf method against scipy.stats.expon.pdf method
  • Test out-of-support warning of ExponentialDist.pdf method
  • Test UniformDist.pdf method against scipy.stats.uniform.pdf method
  • Test out-of-support warning of UniformDist.pdf method
  • Test ParetoDist.pdf method against scipy.stats.pareto.pdf method
  • Test out-of-support warning of ParetoDist.pdf method
  • Test GammaDist.pdf method against scipy.stats.gamma.pdf method
  • Test out-of-support warning of GammaDist.pdf method
  • Test BetaDist.pdf method against scipy.stats.beta.pdf method
  • Test out-of-support warning of BetaDist.pdf method
  • Test ChiSquaredDist.pdf method against scipy.stats.chi2.pdf method
  • Test out-of-support warning of ChiSquaredDist.pdf method

v0.1.19

What's Changed

Changelog v0.1.19:

• Add support for Beta distribution
• Add support for Chi-squared distribution

v0.1.18

What's Changed

Changelog v0.1.18:

• Add new attributes feature_names_in_ and class_count_ to GeneralNB and GaussianWNB
• Use Scikit-learn's BaseEstimator to check and calculate feature_names_in_ and n_features_in_
• Add class attribute definitions to GeneralNB and GaussianWNB
• Minor improvements in internal methods of GeneralNB and GaussianWNB
• Fix bug in calculating n_iter_ for GaussianWNB
• Rename the mu_ attribute of GaussianWNB to theta_ to match Scikit-learn API
• Add new attribute var_ (in addition to existing std_ attribute) to match Scikit-learn API
• Add more data validators to GeneralNB and GaussianWNB
• Scikit-learn's compatibility test is enabled and fully passed for GeneralNB

v0.1.17

What's Changed

Changelog v0.1.17:

• Fix bug in the setup.py script
• Add LICENSE file (for OSD license)
• Add MANIFEST.in file to include package data