| 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 |