Scikit-fibers

A wholly refactored, redesigned, and extended implementation of scikit-FIBERS. Expansions include (1) a merge operator, (2) variable mutation rate, (3) improved adaptive burden thresholding, (4) a bin diversity pressure mechanism, (5) a fitness option based on deviance residuals to estimate covariate adjustments throughout algorithm training, and (6) a bin population cleanup option.

This release adds some minor documentation updates to the previous release which is a scikit-learn implementation of the original FIBERS algorithm. This release represents a minor documentation update to the code used in the following paper:

'Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses' - https://dl.acm.org/doi/abs/10.1145/3583133.3596393?casa_token=kvqzjz-zIJEAAAAA:LkgED-nvzy8GXDkBMtof-m6OkUZ7qr86h0tSLLxJWYkcU0tPuRATr9H89xaenbeHApYPWbCxhcMbBg.

New Release as per https://pypi.org/project/scikit-fibers/0.9.3/

New Release as per https://pypi.org/project/scikit-fibers/0.9.2/