All functions

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

evo_transformers

Built-in feature transformers

evolve_features()

Run evolutionary feature engineering

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