Closed pandeva closed 6 years ago
The model multiplexer optimizes over several learners and their parameters.
please dont use the modelmultiplexer in these simpler usecases. it can maybe later be used in a complex tuning use case. but that should be separate.
superseeded by https://github.com/mlr-org/mlr/pull/2339
My first version of the regression use case. I would be glad about any feedback for improving it. (For example, I couldn't find a more elegant way to extract the tuned parameters.)