Changes maintainer to Edgar Ruiz
Updates author’s email addresses.
Removes dependency with stringr
Fixes issue with earth parsed_models (#108)
Addresses issues with XGBoost models
Improvements to XGBoosts tests
Fixes issue handling GLM Binomial earth models (#97)
Adds capability to handle single simple Cubist models (#57)
Fixed parenthesis issue in the creation of the interval formula (#76)
Fixed bug in SQL query generation for XGBoost models with
objective binary:logistic.
Re-licensed package from GPL-3 to MIT. See consent from copyright holders here.
earth package. As a result, tidypredict will
only parse objects created by this and later versions of
earth.xgboost changes.Adds support for categorical predictors in
partykit
Fixes parsnip tests to meet standards of new CRAN
version
Simplifies tests that verify ranger
Adds fit method for parsed xgboost models
Sets conditional requirement for xgboost, for test
and vignette
Parses ranger classification models.
Adds method support for broom’s tidy()
function. Regression models only
Adds as_parsed_model() function. It adds the proper
class components to the list.
Adds initial support for partykit’s
ctree() model
Adds support for parsnip fitted models:
lm, randomForest, ranger, and
earth
Adds support for xgb.Booster models provided by the
xgboost package (@Athospd, #43)
Adds support for Cubist::cubist() models (#
36)
earth
packageNew 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
The x/y interface for earth models can
now be used.
randomForest & ranger) (#29)ranger() models.x ~. in a randomForest() formula fails (#18 @washcycle).