def load(filename, **kwargs):
"""
Reconstruct a skopt optimization result from a file
persisted with skopt.dump.
Notice that the loaded optimization result can be missing
the objective function (`.specs['args']['func']`) if `skopt.dump`
was called with `store_objective=False`.
Parameters
----------
* `filename` [string or `pathlib.Path`]:
The path of the file from which to load the optimization result.
* `**kwargs` [other keyword arguments]:
All other keyword arguments will be passed to `joblib.load`.
Returns
-------
* `res` [`OptimizeResult`, scipy object]:
Reconstructed OptimizeResult instance.
"""
return load_(filename, **kwargs)
def load(filename, **kwargs):
"""
Reconstruct a skopt optimization result from a file
persisted with deephyper.skopt.dump.
.. note::
Notice that the loaded optimization result can be missing
the objective function (`.specs['args']['func']`) if `deephyper.skopt.dump`
was called with `store_objective=False`.
Parameters
----------
filename : string or `pathlib.Path`
The path of the file from which to load the optimization result.
**kwargs : other keyword arguments
All other keyword arguments will be passed to `joblib.load`.
Returns
-------
res : `OptimizeResult`, scipy object
Reconstructed OptimizeResult instance.
"""
return load_(filename, **kwargs)