Man pages for DavisVaughan/hardhat
Construct Modeling Packages

add_intercept_column	Add an intercept column to 'data'
contr_one_hot	Contrast function for one-hot encodings
default_formula_blueprint	Default formula blueprint
default_recipe_blueprint	Default recipe blueprint
default_xy_blueprint	Default XY blueprint
delete_response	Delete the response from a terms object
extract_ptype	Extract a prototype
forge	Forge prediction-ready data
get_data_classes	Extract data classes from a data frame or matrix
get_levels	Extract factor levels from a data frame
hardhat-example-data	Example data for hardhat
hardhat-extract	Generics for object extraction
hardhat-package	hardhat: Construct Modeling Packages
is_blueprint	Is 'x' a preprocessing blueprint?
model_frame	Construct a model frame
modeling-package	Create a modeling package
model_matrix	Construct a design matrix
model_offset	Extract a model offset
mold	Mold data for modeling
new-blueprint	Create a new preprocessing blueprint
new-default-blueprint	Create a new default blueprint
new_model	Constructor for a base model
refresh_blueprint	Refresh a preprocessing blueprint
run_mold	Call 'mold$clean()' and 'mold$process()'
scream	Scream.
shrink	Subset only required columns
spruce	Spruce up predictions
standardize	Standardize the outcome
update_blueprint	Update a preprocessing blueprint
validate_column_names	Ensure that 'data' contains required column names
validate_no_formula_duplication	Ensure no duplicate terms appear in 'formula'
validate_outcomes_are_binary	Ensure that the outcome has binary factors
validate_outcomes_are_factors	Ensure that the outcome has only factor columns
validate_outcomes_are_numeric	Ensure outcomes are all numeric
validate_outcomes_are_univariate	Ensure that the outcome is univariate
validate_prediction_size	Ensure that predictions have the correct number of rows
validate_predictors_are_numeric	Ensure predictors are all numeric