tidyAML (development version)
New Features
- Fix #187 - Add function
extract_regression_residuals()
Minor Fixes and Improvements
- Fix #186 - Add the following to the core_packages():
discrimmdasdasparsediscrimliquidSVMkernlabklaR
- Fix #190 - Update the
internal_make_wflw_predictions()to include all data- The actual data
- The training predictions
- The testing predictions
tidyAML 0.0.3
CRAN release: 2023-11-29
New Features
- Fix #157 -
internal_make_spec_tbl()now adds a class to eachmodel_speccreated byparsnip, for example, ageeengine setting usinglinear_reg()will return an extra class ofgee_linear_reg - Fix #175 - Add Getting Started Vignette.
Minor Fixes and Improvements
- Fix #142 - Add
gee,glmnet, andrulesto thecore_packages()function. - Fix #148 - Update
create_model_spec() - Fix #155 - Add class
tidyaml_base_tblto the output ofcreate_model_spec() - Fix #156 - Update
internal_set_args_to_tune()to usedplyr::pick()instead ofdplyr::cur_data()since it was deprecated. - Fix #161 - Update
internal_set_args_to_tune()to use!names(new_mod_args)instead of!names(.) - Fix #163 - Add attribute to model spec and drop class from #155
- Fix #147 - Add packages to suggests, as they are not necessary for the pkg to work.
- Fix #139 - Add suggestion to startup message to run
tidymodels::tidymodels_prefer() - Fix #167 - Add function
internal_make_wflw_gee_lin_reg() - Fix #168 - Add function
full_internal_make_wflw - Fix #169 - Update
fast_classification()andfast_regression()to usefull_internal_make_wflw()
tidyAML 0.0.2
CRAN release: 2023-04-20
New Features
- Fix #129 - Add the ability to extract model spec from the
create_model_spec()function.
Minor Fixes and Improvements
- Fix #130 - Add checks to
create_model_spec() - Fix #127 - Fix
internal_make_wflw_predictions()to userecipes::testing()instead ofrecipes::training()
tidyAML 0.0.1
CRAN release: 2023-02-16
New Features
- Fix #73 - Add function
make_regression_base_tbl() - Fix #74 - Add function
make_classification_base_tbl() - Fix #77 - Add function
internal_make_spec_tbl() - Fix #78 - Add function
internal_set_args_to_tune() - Fix #16 - Add function
create_workflow_set() - Fix #101 - Add function
get_model() - Fix #102 - Add function
extract_model_spec() - Fix #103 - Add function
extract_wflw() - Fix #104 - Add function
extract_wflw_fit() - Fix #105 - Add function
extract_wflw_pred() - Fix #71 - Add function
match_args()
Minor Fixes and Improvements
- Fix #72 - Update
fast_classification_parsnip_spec_tbl()andfast_regression_parsnip_spec_tbl()to use the make_regression and make_classification functions. - Fix #79 #80 - Update
fast_classification_parsnip_spec_tbl()andfast_regression_parsnip_spec_tbl()to use theinternal_make_spec_tbl()function. - Fix #85 - This also addresses sub tasks #86 #87 and #88 to make the base table functions to have a class and to then use that class in
internal_make_spec_tbl() - Fix #99 - Update DESCRIPTION for R >= 3.4.0
tidyAML 0.0.0.9002
New Features
- Fix #62 - Add function
fast_classification_parsnip_spec_tbl() - Fix #65 - Add function
fast_classification()
tidyAML 0.0.0.9001
New Features
- Fix #48 - Add functions
core_packages()install_deps(), andload_deps()
tidyAML 0.0.0.9000
New Features
- Fix #5 - Add function
fast_regression_parsnip_spec_tbl() - Fix #6 - Add function
create_splits() - Fix #7 - Add function
fast_regression() - Fix #11 - Add function
create_model_spec() - Fix #30, #31, 32 - Add internal functions
internal_make_wflw(),internal_make_fitted_wflw(),internal_make_wflw_predictions()
