New versions of modeldb and tidypredict now on CRAN

modeldb 0.1.2

  • Removes pipes and other dplyr dependencies from internal mlr() function
  • Consolidates duplicated database operations in mlr()
  • Fixes an issue in simple_kmeans_db() when specifying variables

tidypredict 0.3.0

New features

  • Adds support for MARS models provided by the earth package

Improvements

  • New parsed models are now list objects as opposed to data frames.

  • tidypredict_to_column() no longer supports ranger and randomForest because 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

Bug Fixes

  • It now returns all of the trees instead of just one for tree based models (randomForest & ranger) (#29)