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)