jijzepttools.blackbox_optimization.fm_opt#
Classes#
Module Contents#
- class FMOWorkflow(n_features, latent_dim, optimizer_params: dict | None = None, flip_postprocess4uniq: bool = False)#
Bases:
jijzepttools.blackbox_optimization.workflow.BlackboxOptimizationWorkflow
- fm_trainer#
- train(state)#
- generate_instance(state) tuple[numpy.ndarray, float] #
- run(x: numpy.ndarray, y: numpy.ndarray, blackbox_func: Callable, solver: Callable, n_iter: int, n_epochs: int)#