fmeffects 0.1.4
plot
works much faster for large data sets
fmeffects 0.1.3
fme
and ame
automatically extract the name
of the model’s target variable from the model.
- Added support for
"lm"
-type models, such as
stats::glm
and mgcv::gam
.
fme
now computes NLMs via parallel processing with
future
and displays a progress bar while doing so.
- Multivariate effects for more than two features can be computed and
visualized.
- Improved visualizations (especially for larger data sets) via
hexagon plots.
- Better error communication with
cli
.
- Feature interactions for categorical features are supported.
fmeffects 0.1.0
- Created package.
- Added a
NEWS.md
file to track changes to the
package.