mlr provides this so that you can focus on your experiments! The framework provides supervised methods like classification, regression and survival analysis along with their corresponding evaluation and optimization methods, as well as unsupervised methods like clustering.
auto-sklearn is an automated machine learning toolkit. frees a machine learning user from algorithm selection and hyperparameter tuning. Bayesian optimization, meta-learning and ensemble construction.
