update readme

Full Changelog: v0.1.1...v0.1.2

update compatibility for python 3.7

Full Changelog: v0.1.1rc1...v0.1.1rc2

What's Changed

• correctly handle rc defaults by @mathematicalmichael in #76
• use 3.7-compatible path unlink syntax by @mathematicalmichael in #77

Full Changelog: v0.1.1rc1...v0.1.1rc3

latex robustness check

mud-examples still seems to need TeX. I'd like to somehow figure out how to avoid this (as was possible in earlier versions) but... may not be worth trying (the labels look nicer, it's just a heavy dependency).

needs further testing. hence release candidate.

compatibility updates: python 3.7-3.12

Most of this is styling, type-hinting, CI/CD upgrades. The check for the presence of TeX has been fixed to be much more robust, and many CI tests verified compatibility with mud-examples both with and without TeX present.

What's Changed

• housekeeping by @mathematicalmichael in #71
• dependabot by @mathematicalmichael in #75
• make check for latex more robust by @mathematicalmichael in #74
• correctly handle rc defaults by @mathematicalmichael in #76
• use 3.7-compatible path unlink syntax by @mathematicalmichael in #77

Full Changelog: v0.1post0...v0.1.1

styling, linting, typing, support for more python versions

What's Changed

• housekeeping by @mathematicalmichael in #71

Full Changelog: v0.1.1dev0...v0.1.1rc0

paper release: scikit-learn bugfix

all this changes is sklearn -> scikit-learn due to an upstream change in the library.

release for paper

major refactor for paper. merges in github.com/mathematicalmichael/mud-examples into this repo.

rc3 and rc2 are associated with git history that's no longer here.
rc4 is a force-pushed re-working of PR #55 via PR #65

maintains full compatibility with mud-examples but only if latex is installed.

figure filename "tikonov" -> "tikhonov" fixed.

merge mud examples in

now conforms to type checks

improve testing

changes behavior in passing a distribution that is not frozen.

weights option for updated densities (hotfix)

option for weighting the initial density by samples if the weights keyword is passed to the DensityProblem class.
Fixes bug introduced by 0.0.27