totalvis-package: totalvis: A Principal Components Approach to Visualizing...
In nickseedorff/totalvis: totalvis: A Principal Components Approach to Visualizing Total Effects in Black Box Models
Description
A principal components based extension to partial depedence plots
(PDPS) that visually summarizes the total effects of groups of predictors in
black-box models. The method uses PCA to explore the structure of the training
data, but does not intend for PCA to be a part of the model under
investigation.
Details
The DESCRIPTION file:
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Author(s)
Nick Seedorff
Maintainer: Nick Seedorff <nickseedorff@gmail.com>
nickseedorff/totalvis documentation built on May 12, 2021, 8:49 p.m.
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Description
A principal components based extension to partial depedence plots (PDPS) that visually summarizes the total effects of groups of predictors in black-box models. The method uses PCA to explore the structure of the training data, but does not intend for PCA to be a part of the model under investigation.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Stuff to add
Author(s)
Nick Seedorff
Maintainer: Nick Seedorff <nickseedorff@gmail.com>
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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