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modelgrid: A Framework for Creating, Managing and Training Multiple 'caret'
Models
A minimalistic but flexible framework that facilitates the
creation, management and training of multiple 'caret' models. A model grid
consists of two components, (1) a set of settings that is shared by all
models by default, and (2) specifications that apply only to the individual
models. When the model grid is trained, model and training specifications are
first consolidated from the shared and the model specific settings into
complete 'caret' model configurations. These models are then trained with
the 'train()' function from the 'caret' package.
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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