Nothing
None
quantile_normalize().check_duplicate_rows().extract_tunable_params().plot_regression_predictions().None
plot_regression_residuals() to plot the residuals.plot_regression_predictions() to plot the predictions
from the function extract_wflw_predictions()load_deps()fast_regression() and fast_classification() to drop NULL
predictions.None
extract_regression_residuals().drop_na to fast_classification() and
fast_regression().discrimmdasdasparsediscrimliquidSVMkernlabklaRinternal_make_wflw_predictions() to include all datamagrittr from Imports of DESCRIPTION file from #150.internal_make_spec_tbl() now adds a class to each model_spec
created by parsnip, for example, a gee engine setting using linear_reg()
will return an extra class of gee_linear_reggee, glmnet, and rules to the core_packages() function.create_model_spec()tidyaml_base_tbl to the output of create_model_spec()internal_set_args_to_tune() to use dplyr::pick() instead
of dplyr::cur_data() since it was deprecated.internal_set_args_to_tune() to use !names(new_mod_args)
instead of !names(.)tidymodels::tidymodels_prefer()internal_make_wflw_gee_lin_reg()full_internal_make_wflwfast_classification() and fast_regression() to use
full_internal_make_wflw()None
create_model_spec()
function.create_model_spec()internal_make_wflw_predictions() to use recipes::testing()
instead of recipes::training()None
make_regression_base_tbl()make_classification_base_tbl()internal_make_spec_tbl()internal_set_args_to_tune()create_workflow_set()get_model()extract_model_spec()extract_wflw()extract_wflw_fit()extract_wflw_pred()match_args()fast_classification_parsnip_spec_tbl() and
fast_regression_parsnip_spec_tbl() to use the make_regression and
make_classification functions.fast_classification_parsnip_spec_tbl() and
fast_regression_parsnip_spec_tbl() to use the internal_make_spec_tbl()
function.internal_make_spec_tbl()fast_classification_parsnip_spec_tbl()fast_classification()None
None
core_packages() install_deps(), and load_deps()None
None
fast_regression_parsnip_spec_tbl()create_splits()fast_regression()create_model_spec()internal_make_wflw(), internal_make_fitted_wflw(), internal_make_wflw_predictions()None
None
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