tidyAML 0.0.5

Breaking Changes

None

New Features

1. Fix #217 - Add function plot_regression_residuals() to plot the residuals.
2. Fix #215 - Add function plot_regression_predictions() to plot the predictions
   from the function extract_wflw_predictions()

Minor Fixes and Improvements

1. Fix #214 - Drop selection message from load_deps()
2. Fix #222 - Update fast_regression() and fast_classification() to drop NULL
   predictions.

tidyAML 0.0.4

Breaking Changes

None

New Features

1. Fix #187 and #198 - Add function extract_regression_residuals()
2. Fix #199 - Add parameters .drop_na to fast_classification() and
   fast_regression().

Minor Fixes and Improvements

1. Fix #186 - Add the following to the core_packages():
   • discrim
   • mda
   • sda
   • sparsediscrim
   • liquidSVM
   • kernlab
   • klaR
2. 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

Breaking Changes

1. Fix #150 - Require R version >= 4.1.0 in order to use the native pipe.
2. Fix #170 - Drop magrittr from Imports of DESCRIPTION file from #150.

New Features

1. Fix #157 - 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_reg
2. Fix #175 - Add Getting Started Vignette.

Minor Fixes and Improvements

1. Fix #142 - Add gee, glmnet, and rules to the core_packages() function.
2. Fix #148 - Update create_model_spec()
3. Fix #155 - Add class tidyaml_base_tbl to the output of create_model_spec()
4. Fix #156 - Update internal_set_args_to_tune() to use dplyr::pick() instead
   of dplyr::cur_data() since it was deprecated.
5. Fix #161 - Update internal_set_args_to_tune() to use !names(new_mod_args)
   instead of !names(.)
6. Fix #163 - Add attribute to model spec and drop class from #155
7. Fix #147 - Add packages to suggests, as they are not necessary for the pkg to work.
8. Fix #139 - Add suggestion to startup message to run tidymodels::tidymodels_prefer()
9. Fix #167 - Add function internal_make_wflw_gee_lin_reg()
10. Fix #168 - Add function full_internal_make_wflw
11. Fix #169 - Update fast_classification() and fast_regression() to use
    full_internal_make_wflw()

tidyAML 0.0.2

Breaking Changes

None

New Features

1. Fix #129 - Add the ability to extract model spec from the create_model_spec()
   function.

Minor Fixes and Improvements

1. Fix #130 - Add checks to create_model_spec()
2. Fix #127 - Fix internal_make_wflw_predictions() to use recipes::testing()
   instead of recipes::training()

tidyAML 0.0.1

Breaking Changes

None

New Features

1. Fix #73 - Add function make_regression_base_tbl()
2. Fix #74 - Add function make_classification_base_tbl()
3. Fix #77 - Add function internal_make_spec_tbl()
4. Fix #78 - Add function internal_set_args_to_tune()
5. Fix #16 - Add function create_workflow_set()
6. Fix #101 - Add function get_model()
7. Fix #102 - Add function extract_model_spec()
8. Fix #103 - Add function extract_wflw()
9. Fix #104 - Add function extract_wflw_fit()
10. Fix #105 - Add function extract_wflw_pred()
11. Fix #71 - Add function match_args()

Minor Fixes and Improvements

1. Fix #72 - Update fast_classification_parsnip_spec_tbl() and
   fast_regression_parsnip_spec_tbl() to use the make_regression and
   make_classification functions.
2. Fix #79 #80 - Update fast_classification_parsnip_spec_tbl() and
   fast_regression_parsnip_spec_tbl() to use the internal_make_spec_tbl()
   function.
3. 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()
4. Fix #99 - Update DESCRIPTION for R >= 3.4.0

tidyAML 0.0.0.9002

New Features

1. Fix #62 - Add function fast_classification_to_parsnip_call_tbl()
2. Fix #65 - Add function fast_classification()

Breaking Changes

None

Minor Fixes and Improvements

None

tidyAML 0.0.0.9001

Full Changelog: v0.0.0.9000...v0.0.0.9001

tidyaml 0.0.0.9000

New Features

1. Fix #5 - Add function fast_regression_to_parsnip_call_tbl()
2. Fix #6 - Add function create_splits()
3. Fix #7 - Add function fast_regression()
4. Fix #11 - Add function create_model_spec()
5. Fix #30, #31, 32 - Add internal functions internal_make_wflw(), internal_make_fitted_wflw(), internal_make_wflw_predictions()

Breaking Changes

None

Minor Fixes and Improvements

None

• Added a NEWS.md file to track changes to the package.