Public API¶
EvoLib provides a flat import surface through evolib/api.py.
Instead of navigating deep into subpackages, you can import the most relevant classes, functions, and utilities directly:
from evolib import Pop, Indiv, Vector, EvoNet, NetVector
from evolib import plot_fitness, rastrigin, mse_loss
from evolib import save_checkpoint, resume_from_checkpoint
Core Classes¶
Pop(evolib.core.population.Population)Indiv(evolib.core.individual.Indiv)Vector(evolib.representation.vector.Vector)EvoNet(evolib.representation.evonet.EvoNet)NetVector(evolib.representation.netvector.NetVector)HistoryLogger(evolib.utils.history_logger.HistoryLogger)
Fitness Functions¶
Type alias:
evolib.interfaces.types.FitnessFunction
Benchmark Functions:
- sphere (sphere_2d, sphere_3d)
- rastrigin (rastrigin_2d, rastrigin_3d)
- ackley (ackley_2d, ackley_3d)
- rosenbrock (rosenbrock_2d, rosenbrock_3d)
- griewank (griewank_2d, griewank_3d)
- schwefel (schwefel_2d, schwefel_3d)
- simple_quadratic
Loss Functions¶
mse_loss•mae_loss•huber_loss•bce_loss•cce_loss
Plotting Utilities¶
plot_fitness•plot_approximation•plot_history•plot_diversityplot_mutation_trends•plot_fitness_comparison•save_combined_net_plot
Checkpointing¶
save_checkpoint•resume_from_checkpoint•resume_or_createsave_best_indiv•load_best_indiv
Notes¶
This page mirrors what is re-exported in
evolib/api.py(__all__).For detailed docs, see the dedicated pages (e.g.,
api_core_individual).Importing via the public API is the recommended way for end users.