R Parallel Processing for Developing Ensemble Learning with SuperLearner

Ensemble learning which included multiple learners, i.e. Machine Learning algorithms, may take much longer time than expected to develop. When using a search grid for parameter optimization to train an ensemble, depending on the included algorithms, the number of variables, and the corresponding iterations based on combinations of parameter settings and with cross validation, it may take a… Continue reading R Parallel Processing for Developing Ensemble Learning with SuperLearner