probmetrics v1.3.0

[eugeneberta]

v1.3.0 by @eugeneberta:

• Splitted calibrators.py into several subfiles and implemented many new calibrators, most of which are benchmarked and ranked in the CalArena leaderboard. Among others, added Binary histogram binning, Scaling-binning (from uncertainty-calibration), BBQ (from netcal), Beta calibration (from betacal), ENIR (from netcal), binary and multiclass Kernel calibration (using beta and dirichlet kernels from ece_kde), Spline calibration (from splinecalib), CDF-Spline calibration, Ensemble Temperature Scaling, tree based calibration with CatBoost, LightGBM and XGBoost.
• Re-structured the base Calibrator class to differentiate _predict_proba_torch_impl from _predict_proba_impl.
• Added Kuiper and Kolmogorov-Smirnov binary calibration metrics.