R: Evolutionary Feature Engineering

# Evolutionary Feature Engineering

## Documentation for package ‘evoFE’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

apply_gene | Apply a single gene to a dataset
apply_individual | Apply an entire individual's recipe to data
create_gene | Create a single gene
create_individual | Create an individual
create_transformer | Create a transformer definition
crossover | Crossover two individuals
evaluate_fitness | Evaluate the fitness of an individual
evolve_features | Run evolutionary feature engineering
evo_transformers | Built-in feature transformers
gene_to_formula | Convert a gene to a formula string
gene_to_state_formula | Convert a gene to a formula string for state caching (ignoring component index)
individual_to_recipe_string | Convert an individual to a recipe string of formulas
initialize_population | Initialize a population
mutate | Mutate an individual
predict.evo_recipe | Apply feature engineering recipe to new data
predict_model | Predict target values using the fully evolved model
union_crossover | Union Crossover of two individuals