slim.Optimiser module
DEPRECATED: use Fitter.py or slim fit. They also implement MC walks
but use ray-tuned which is much faster.
- class slim.Optimiser.Optimiser(starting_cfg: Config, iterations: int, repeat_experiment: int, optimiser_seed: int)
Bases:
object- annealing(output_path: pathlib.Path)
- get_neighbour(probas, rng, steps)
- get_simulator_from_probas(probas, out_path: pathlib.Path, sim_name: str, rng)
- iterations: int
- optimiser_seed: int
- repeat_experiment: int
- save(method, output_path)