pycaret 2.3.5 on Python PyPI

Release: PyCaret 2.3.5 | Release Date: November 19th, 2021 (NEW FEATURES, BUG FIXES)

Fixed an issue where Fix_multicollinearity would fail if the target was a float (#1640)
MLFlow runs are now nested - thanks to @jfagn (#1660)
Fixed a typo in REG102 tutorial - thanks to @bobo-jamson (#1684)
Fixed interpret_model not always respecting save_path (#1707)
Fixed certain plots not being logged by MLFlow (#1769)
Added dummy models to set a baseline in compare_models - thanks to @reza1615 (#1739)
Improved error message if a column specified in ignore_features doesn't exist in the dataset - thanks to @reza1615 (#1793)
Added an ability to set a custom probability threshold for binary classification through the probability_threshold argument in various methods (#1858)
Separated internal CV from validation CV for stack_models and calibrate_models (#1849, #1858)
A RuntimeError will now be raised if an incorrect version of scikit-learn is installed (#1870)
Improved readme, documentation and repository structure
Unpinned numba (#1735)