v1.0.1 - Updates

Updates to packages, README, and minor bug fixes

v1.0.0-beta.11

This release includes

• Fix to issue #25
• Other minor bug fixes
• Updates to the requirements file

v1.0.0-beta.10

This release includes the "training wheels" to prevent nominating overfitting and also includes new probability plots across all supervised ML scripts

v1.0.0-beta.9

Changes in discrete training to nominating the best algorithm and the probability plots

v1.0.0-beta.8

Minor, but necessary, changes

v1.0.0-beta.7

This beta release addresses the following issues:

• Issue #18 : PLINK pre-maturely killed when certain flags are chosen
• Issue #19 : --adjust_data crashing if features are removed at earlier munging stages

v1.0.0-beta.6

This release has addressed a few issues:

• Issue #12: [Experimental] fix to using tuned models to test unseen, harmonized data
• Issue #16: Users now have more control to adjusting without reducing if desired, and choosing to normalize after adjusting if desired
• Issue #17: Users can now control stringency of r^2 value when pruning with PLINK using the --r2_cutoff

The README has been updated to reflect these changes better, please report any issues to the GitHub issues page!

v1.0.0-beta.5

Implementing a "global adjuster" - flags in the munging process to account for additional covariates and confounders you would like to adjust for. This comes from feature request/issue #11 - Adjust genotypes for tSNE/UMAP/PC loadings.

v1.0.0-beta.4

Addressing issue #13 - next release might not be for a while!

v1.0.0-beta.3

Minor update - This release resolves issue #14