Nevergrad¶
-
class
Nevergrad(_opt_id=None, _signal_pipe=None, _results_queue=None, _pause_flag=None, _is_log_detailed=False, _workers=1, _backend='threads', optimizer='TBPSA', zero=0, warn=False, **kwargs)[source]¶ Bases:
scm.glompo.optimizers.baseoptimizer.BaseOptimizerProvides access to the optimizers available through the nevergrad package. Tested with v.0.3.2.
- Parameters
- _opt_id _signal_pipe _results_queue _pause_flag _is_log_detailed _workers _backend
See
BaseOptimizer.- optimizer
String key to the desired optimizer. See nevergrad documentation for a list of available algorithms.
- zero
Will stop the optimization when this cost function value is reached.
- warn
If
True, suppresses all nevergrad warnings.- **kwargs
Extra initialisation arguments passed to the optimizer.
- Notes
Important
It is crucial that you check for possible search space settings of the requested optimizer and adjust them through the
kwargsargument accordingly. By default, ParAMS will return an infinite loss function value if any of the parameters is out of bounds. Certain algorithms (especially if the dimensionality is high) might not be able to adjust to the bounded search space, resulting in all evaluations producingfloat(inf), and a failed optimization.