New Features

Dockerfiles and docker images for the 0.1.0 version and for the github main branch. Described in #36
Covariate correction mode support for controls, whole population, or each clinical group separately. Described in #42
Toy dataset generation and use capabilities. Described in #32
More statistical measures added in clinical_groups pipeline. Described #50
Hyperopt model support, where the model & scaler selection and hyperoptimization is handled automatically by ageml. Described in #47
A full tutorial and an interactive Colab notebook on how to get started with ageml!

What's Changed

[ENH] Dockerfiles available for PIP and DEV versions by @itellaetxe in #38
ENH: Feature toy data by @itellaetxe in #46
ENH: Feature selective covar correction by @itellaetxe in #47
ENH: Add hyperopt sklearn support by @itellaetxe in #48
BUG: Data loading nonfloat bug by @JGarciaCondado in #49
ENH: Adds more statistics to clinical_groups delta t-tests by @itellaetxe in #51
CI: Optimize CI jobs by @itellaetxe in #52