v0.5 - Improved Active Learning, Linear Regression and Refactoring

In version v0.5 the focus was on improving Active Learning, as well as refactoring proFit to embrace the hierarchical component structure. In addition, Linear Regression has been implemented as an alternative to Gaussian Process Regression.

What's Changed

• Major Refactor and Enhanced Active Learning by @mkendler in #142, #145, #153 and #161
  • Abstract Base Class, Config, Variables, Surrogates, Active Learning, Acquisition Functions, Encoders
  • added MCMC
  • more testcases
• Added run system documentation by @Rykath in #147
• Updated documentation by @mkendler in #161
• Run system improvements, fixes and polishing by @Rykath in #147, #148, #152, #157, #162 and #139
• Added Chaospy Linear Regression by @Squadula in #139

Full Changelog: v0.4...v0.5