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modelgrid (version 1.1.1.0)

A Framework for Creating, Managing and Training Multiple Caret Models

Description

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.

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Install

install.packages('modelgrid')

Monthly Downloads

601

Version

1.1.1.0

License

MIT + file LICENSE

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Maintainer

Lars Kjeldgaard

Last Published

November 4th, 2018

Functions in modelgrid (1.1.1.0)

model_grid

Pre-allocate an empty model grid
edit_model

Edit model within a model grid
remove_model

Remove model from model grid
share_settings

Set shared settings of a model grid
consolidate_model

Consolidate model settings to a complete caret model specification
%>%

Pipe operator
add_model

Add a model specification to a model grid