Changes in version 0.0.6.9000                      

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.

                 Changes in version 0.0.6 (2025-05-12)                  

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().

                 Changes in version 0.0.5 (2024-03-12)                  

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.

                 Changes in version 0.0.4 (2024-01-09)                  

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

                 Changes in version 0.0.3 (2023-11-29)                  

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()

                 Changes in version 0.0.2 (2023-04-20)                  

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()

                 Changes in version 0.0.1 (2023-02-16)                  

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

                     Changes in version 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

                     Changes in version 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

                     Changes in version 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.