Survivors

1. Increased performance of models (accelerated by 15-40 percent). Load profiling was performed via profile and snakeviz.
2. Restructured external models from stratified_model.py to a separate module.
3. Realized wrappers of classical AFT and CoxPH models.
4. Build a parallelized Bootstrap model
5. Refactor scipy code of sf and isf counting (statistics values and p-values).
6. Added documentation

The version is synchronized with PyPI

Wrappers for lifelines library models are implemented in the "external" module.
Built new structure of leaf models. Now, we can use external models as leaf_model in tree-based approaches. Parameters for leaf_model set as "leaf_" at tree initialization step.
Increased performance of CRAID and BootstrapCRAID models.
Added new Parallel Bootstrap CRAID model (works with n_jobs parameter).

The first open-access working library for conducting experiments in Ph.D. theses at the faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University.