v0.1.4

Full Changelog: v.0.1.3...v0.1.4

v0.1.2-beta

What's Changed

• Refactor code taking in account single tree inference and set of tree… by @KohlerHECTOR in #8
• Kohler hector/issue2 by @KohlerHECTOR in #9
• Fix github workflows , Now the DPDTree estimator passes the checks of… by @KohlerHECTOR in #10
• Can we numpy the tests extractions from the CART tree ? by @KohlerHECTOR in #12

New Contributors

• @KohlerHECTOR made their first contribution in #8

Full Changelog: v0.1.1-alpha...v0.1.2-beta

DPDT > CART after many parametrized tests

What's Changed

• Better testing by @KohlerHECTOR in #15

Full Changelog: v0.1.2-beta...v.0.1.3

Attempt at PyPi release.

Release to start github workflow that releases to PyPi.

Alpha release

In this basic first release we implement DPDT as a scikit-learn BaseEstimator and ClassifierMixin. Essentially, one can instantiate, fit and predict with a DPDT classifier.

Key improvements to do:

• docstrings
• more tests on real dataset