lazyML: Automatic machine learning algorithms selection and...
In linxihui/lazyML: Automatic machine learning algorithms and hyper-parameters selection
Description
This package is built upon the caret package my Max Kuhn, with auto algorithm selection and hyper-parameter optimization.
Details
The package is designed to use a single call to mpTune to get model selection and hyper-parameter optimization done at once,
with optional parallel choice. Other possible usage is to first use createCVFolds to create cross validation folds, and use
multiple calls to mpTune with different models using 'qsub', and use combine.mpTune to combine all the results.
linxihui/lazyML documentation built on May 21, 2019, 6:39 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This package is built upon the caret package my Max Kuhn, with auto algorithm selection and hyper-parameter optimization.
Details
The package is designed to use a single call to mpTune to get model selection and hyper-parameter optimization done at once,
with optional parallel choice. Other possible usage is to first use createCVFolds to create cross validation folds, and use
multiple calls to mpTune with different models using 'qsub', and use combine.mpTune to combine all the results.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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