Releases: Ciela-Institute/PQM
Releases · Ciela-Institute/PQM
v0.5.1
What's Changed
- Number of samples from each distribution now determined with a multinomial distribution. by @ConnorStoneAstro in #15
Full Changelog: v0.5.0...v0.5.1
v0.5.0
What's Changed
- Allow a fraction of samples to come from a gaussian distribution allowing for full coverage and certain statistical guarantees by @ConnorStoneAstro in #14
- feat: reference points can now be drawn from either x/y sample by @ConnorStoneAstro in #13
Full Changelog: v0.4.0...v0.5.0
v0.4.0
What's Changed
- Update init.py by @SammyS15 in #11
- Sammy dev by @SammyS15 in #9
- docs: add badges by @ConnorStoneAstro in #12
Full Changelog: v0.3.1...v0.4.0
v0.3.1
What's Changed
- fix numerical stability for chi2 rescaling by @ConnorStoneAstro in #10
Full Changelog: v0.3.0...v0.3.1
v0.3.0
What's Changed
- fix dof to always be the same for chi2 result by @ConnorStoneAstro in #7
- Now whitens the input before performing PQM test by @ConnorStoneAstro in #3
Full Changelog: v0.2.0...v0.3.0
v0.2.0
What's Changed
- Sammy dev by @SammyS15 in #2
- Update README.md by @ConnorStoneAstro in #5
New Contributors
- @SammyS15 made their first contribution in #2
- @ConnorStoneAstro made their first contribution in #5
Full Changelog: v0.1.2...v0.2.0
v0.1.2
PQM now much faster thanks to better use of the KDTree
v0.1.1
Added usage in README, changed name of the function for simplicity.
Full Changelog: v0.1.0...v0.1.1
v0.1.0
First release of PQM. This is early development
Full Changelog: https://github.com/Ciela-Institute/PQM/commits/v0.1.0