tidyAML 0.0.8

Breaking Changes

None

New Features

None

Minor Fixes and Improvements

ocumentation and roxygen output refresh.

tidyAML 0.0.7

Breaking Changes

None

New Features

None

Minor Fixes and Improvements

1. Fix #256 - Update load_deps() and install_deps() to use a try block.
2. Fix #266 - Major overhaul in how regression and classification model specs are built.

tidyAML 0.0.6

Breaking Changes

None

New Features

1. Fix #242 - Add function quantile_normalize().
2. Fix #243 - Add function check_duplicate_rows().
3. Fix #248 - Add function extract_tunable_params().

Minor Fixes and Improvements

1. Fix #239 - Fix erroneous documentation for plot_regression_predictions().

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_parsnip_spec_tbl()
2. Fix #65 - Add function fast_classification()

Breaking Changes

None

Minor Fixes and Improvements

None

tidyAML 0.0.0.9001

New Features

1. Fix #48 - Add functions core_packages() install_deps(), and load_deps()

Breaking Changes

None

Minor Fixes and Improvements

None

tidyAML 0.0.0.9000

New Features

1. Fix #5 - Add function fast_regression_parsnip_spec_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.