gwkokab-v0.2.1

What's Changed

• refactor(gh-614): logging into a log file by @Qazalbash in #622
• refactor: poisson mean and its API by @Qazalbash in #623
• refactor(gh-601): move gwkokab.population module to kokab.core.population module by @Qazalbash in #624
• refactor: move essentials modules in kokab to core module by @Qazalbash in #625
• chore(deps): bump actions/setup-python from 5.6.0 to 6.0.0 by @dependabot[bot] in #629
• refactor(gh-628): replace hardcoded names with standard parameter names by @Qazalbash in #634
• feat: add option to save weighted samples in _save_data_from_sampler by @Qazalbash in #637
• chore(gh-636): GPU as default accelerator during installation and build routines by @Qazalbash in #640
• feat: integrate until MCMC threshold error and variational inference for matching mean by @Qazalbash in #631
• chore: segregate purely mass models and hybrid models by @Qazalbash in #642
• chore(gh-633): removing Bake class from Guru by @Qazalbash in #641
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in #644
• feat(gh-135): HalfNormal distribution for eccentricity in One Powerlaw and Peak model by @Qazalbash in #638
• chore: update contribution guidelines to use uv and make by @Qazalbash in #656
• docs: update installation instructions by @Qazalbash in #657
• chore(deps): bump astral-sh/setup-uv from 6 to 7 by @dependabot[bot] in #662
• chore(deps-dev): update astroid requirement from <4 to <5 by @dependabot[bot] in #661
• Comprehensive Model, Inference, and Training Updates: Lazy Priors, Broken Powerlaw+TwoPeak, Multi-Spin Extensions, and Stable Regressor Improvements by @Qazalbash in #664
• docs(gh-107): update tutorials by @Qazalbash in #659
• feat(gh-639): enabling cuda 13 by @Qazalbash in #665
• feat: save data from numpyro sampler when a chain finishes by @Qazalbash in #667
• refactor(gh-454): profile based optimization of Poisson likelihood for NUTS (NumPyro) sampler by @Qazalbash in #666
• feat: filter samples based on variance of log likelihood by @Qazalbash in #668
• feat(flowMC): implement chain saving functionality during training/production by @Qazalbash in #670

Full Changelog: 0.2.0...0.2.1