LSBoost's boosting with Elastic Net, polynomials and heterogeneity in explanatory variables.

Supervised Machine Learning in mlsauce using unsupervised Machine Learning.

Conformalized predictive simulations for LSBoostRegressor, a gradient boosting algorithm for penalized nonlinear least squares.

Machine learning with uncertainty quantification and interpretatbility

Bayesian inference and conformal prediction (prediction intervals) in nnetsauce v0.18.1

rtopy (v0.1.1): calling R functions in Python, based on the command line and text mining and caching tools.

ahead version 0.10.0 in R, Python and Julia; univariate and multivariate time series forecasting.

Download data from the R-Universe API with nnetsauce. Automated Machine Learning, Interpretability and prediction intervals using conformal prediction.

nnetsauce's version 0.17.0 is available

Hyperparameter tuning with GPopt, based on Gaussian processes