Changelog
Source:NEWS.md
tidyAML 0.0.5
New Features
- Fix #217 - Add function
plot_regression_residuals()
to plot the residuals. - Fix #215 - Add function
plot_regression_predictions()
to plot the predictions from the functionextract_wflw_predictions()
Minor Fixes and Improvements
- Fix #214 - Drop selection message from
load_deps()
- Fix #222 - Update
fast_regression()
andfast_classification()
to drop NULL predictions.
tidyAML 0.0.4
CRAN release: 2024-01-09
New Features
- Fix #187 and #198 - Add function
extract_regression_residuals()
- Fix #199 - Add parameters
.drop_na
tofast_classification()
andfast_regression()
.
Minor Fixes and Improvements
- Fix #186 - Add the following to the core_packages():
discrim
mda
sda
sparsediscrim
liquidSVM
kernlab
klaR
- 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_spec
created byparsnip
, for example, agee
engine 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
, andrules
to thecore_packages()
function. - Fix #148 - Update
create_model_spec()
- Fix #155 - Add class
tidyaml_base_tbl
to 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()