Skip to content

parsnip 1.0.0

Choose a tag to compare

View all tags
@topepo topepo released this 16 Jun 11:45
v1.0.0
5a601f2
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode.

Model Specification Changes

  • Enable the use of case weights for models that support them.

  • show_model_info() now indicates which models can utilize case weights.

  • Model type functions will now message informatively if a needed parsnip extension package is not loaded (#731).

  • Refactored internals of model specification printing functions. These changes are non-breaking for extension packages, but the new print_model_spec() helper is exported for use in extensions if desired (#739).

Bug fixes

  • Fixed bug where previously set engine arguments would propagate through update() methods despite fresh = TRUE (#704).

  • Fixed a bug where an error would be thrown if arguments to model functions were namespaced (#745).

  • predict(type = "prob") will now provide an error if the outcome variable has a level called "class" (#720).

  • An inconsistency for probability type predictions for two-class GAM models was fixed (#708)

  • Fixed translated printing for null_model() (#752)

Other changes

  • Added a glm_grouped() function to convert long data to the grouped format required by glm() for logistic regression.

  • xgb_train() now allows for case weights

  • Added ctree_train() and cforest_train() wrappers for the functions in the partykit package. Engines for these will be added to other parsnip extension packages.

  • Exported xgb_predict() which wraps xgboost's predict() method for use with parsnip extension packages (#688).

  • Added a developer function, .model_param_name_key that translates names of tuning parameters.

Assets 2
Loading