A minimal framework to construct and train multiple models using the caret package. A model grid consists of two components: a set of settings that are shared by all models, and specifications that apply only to the indivual models. When the model grid is trained, model specifications are first consolidated from the shared and the model specific settings and hence can be trained using the 'train' function from 'caret'.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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