The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The supported models currently all come from tidypredict right now.
The following models are supported by tidypredict:
lm()glm()randomForest::randomForest()ranger -
ranger::ranger()earth::earth()xgboost::xgb.Booster.complete()Cubist::cubist()partykit -
partykit::ctree()parsniptidypredict supports models fitted via the
parsnip interface. The ones confirmed currently work in
tidypredict are:
lm() - parsnip: linear_reg()
with “lm” as the engine.randomForest::randomForest() - parsnip:
rand_forest() with “randomForest” as the
engine.ranger::ranger() - parsnip:
rand_forest() with “ranger” as the engine.earth::earth() - parsnip:
mars() with “earth” as the engine.The following 46 recipes steps are supported
step_BoxCox()step_adasyn()step_bin2factor()step_bsmote()step_center()step_corr()step_discretize()step_downsample()step_dummy()step_filter_missing()step_impute_mean()step_impute_median()step_impute_mode()step_indicate_na()step_intercept()step_inverse()step_lag()step_lencode_bayes()step_lencode_glm()step_lencode_mixed()step_lincomb()step_log()step_mutate()step_nearmiss()step_normalize()step_novel()step_nzv()step_other()step_pca()step_pca_sparse()step_pca_sparse_bayes()step_pca_truncated()step_range()step_ratio()step_rename()step_rm()step_rose()step_scale()step_select()step_smote()step_smotenc()step_sqrt()step_tomek()step_unknown()step_upsample()step_zv()These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.