varImp_ggplot: Functions for plotting variable importance
In PeerChristensen/autoMLviz: Plotting model performances from H2OAutoML objects
View source: R/varImp_ggplot.R
Description
Functions for plotting variable importance
Usage
1
varImp_ggplot(H2OAutoML_object, save_pngs = F, return_data = F, n_vars = 25)
Arguments
H2OAutoML_object
An object containing multiple models
save_pngs
(Optional) Whether to save a png files with ggsave(). Default is FALSE.
return_data
(Optional) Whether to save a data frame. Default is set to FALSE.
n_vars
(Optional) The number of variables to include. Default is 25.
PeerChristensen/autoMLviz documentation built on Sept. 16, 2019, 1:19 p.m.
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View source: R/varImp_ggplot.R
Description
Functions for plotting variable importance
Usage
1 | varImp_ggplot(H2OAutoML_object, save_pngs = F, return_data = F, n_vars = 25)
|
Arguments
H2OAutoML_object |
An object containing multiple models |
save_pngs |
(Optional) Whether to save a png files with ggsave(). Default is FALSE. |
return_data |
(Optional) Whether to save a data frame. Default is set to FALSE. |
n_vars |
(Optional) The number of variables to include. Default is 25. |
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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