v0.13.0

• Fix error in hidden nodes' simulation (in base.py); basically, all the simulations options were run all the time

• Use residuals and Kernel Density Estimation (KDE) for predictive simulations

• plot method for MTS (univariate and multivariate time series forecasting with uncertainty quantification, read this) objects

• this notebook contains some examples based on nnetsauce v0.13.0 news: https://github.com/Techtonique/nnetsauce/blob/master/nnetsauce/demo/thierrymoudiki_250923_nnetsauce_mts_plots.ipynb

• Multiple examples (not MTS) of supervised learning: https://github.com/Techtonique/nnetsauce/blob/master/nnetsauce/demo/thierrymoudiki_180823_all_examples.ipynb