Automatic Machine Learning with 'tidymodels'

---

Documentation for package ‘tidyAML’ version 0.0.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

core_packages	Functions to Install all Core Libraries
create_model_spec	Generate Model Specification calls to 'parsnip'
create_splits	Utility Create Splits Object
create_workflow_set	Create a Workflow Set Object
extract_model_spec	Extract A Model Specification
extract_regression_residuals	Extract Residuals from Fast Regression Models
extract_wflw	Extract A Model Workflow
extract_wflw_fit	Extract A Model Fitted Workflow
extract_wflw_pred	Extract A Model Workflow Predictions
fast_classification	Generate Model Specification calls to 'parsnip'
fast_classification_parsnip_spec_tbl	Utility Classification call to 'parsnip'
fast_regression	Generate Model Specification calls to 'parsnip'
fast_regression_parsnip_spec_tbl	Utility Regression call to 'parsnip'
full_internal_make_wflw	Full Internal Workflow for Model and Recipe
get_model	Get a Model
install_deps	Functions to Install all Core Libraries
internal_make_fitted_wflw	Internals Safely Make a Fitted Workflow from Model Spec tibble
internal_make_spec_tbl	Internals Make a Model Spec tibble
internal_make_wflw	Internals Safely Make Workflow from Model Spec tibble
internal_make_wflw_gee_lin_reg	Internals Safely Make Workflow for GEE Linear Regression
internal_make_wflw_predictions	Internals Safely Make Predictions on a Fitted Workflow from Model Spec tibble
internal_set_args_to_tune	Internals Make a Tunable Model Specification
load_deps	Functions to Install all Core Libraries
make_classification_base_tbl	Internals Make Base Classification Tibble
make_regression_base_tbl	Internals Make Base Regression Tibble
match_args	Match function arguments
plot_regression_predictions	Create ggplot2 plot of regression predictions
plot_regression_residuals	Create ggplot2 plot of regression residuals