classification_preds: Control flow for classification predictions
In nickseedorff/totalvis: totalvis: A Principal Components Approach to Visualizing Total Effects in Black Box Models
View source: R/helper_functions.R
Description
Control flow for classification predictions
Usage
1
classification_preds(model, X, ice = FALSE)
Arguments
model
model object to be used for prediction
X
matrix to be used in predictions
ice
logical, idicates if predictions are needed for ice curves
nickseedorff/totalvis documentation built on May 12, 2021, 8:49 p.m.
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View source: R/helper_functions.R
Description
Control flow for classification predictions
Usage
1 | classification_preds(model, X, ice = FALSE)
|
Arguments
model |
model object to be used for prediction |
X |
matrix to be used in predictions |
ice |
logical, idicates if predictions are needed for ice curves |
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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