New versions of modeldb and tidypredict now on CRAN
- Removes pipes and other
dplyrdependencies from internal
- Consolidates duplicated database operations in
- Fixes an issue in
simple_kmeans_db()when specifying variables
- Adds support for MARS models provided by the
New parsed models are now list objects as opposed to data frames.
tidypredict_to_column() no longer supports
randomForestbecause of the multiple queries generated by multiple trees.
All functions that read the parsed models and create the tidy eval formula now use the list object.
Most of the code that depends on dplyr programming has been removed.
Removes dependencies on: tidyr, tibble
- It now returns all of the trees instead of just one for tree based models (