def from_dict(cls, d):
nm = super().from_dict(d)
prev_param = d["strategy_params"]["prev_param"]
if prev_param is not None:
nm.prev_param = [
unjsonify_dict(prev_param[0]),
DataSet.from_dict(prev_param[1]),
]
return nm
def from_dict(cls, d):
domain = Domain.from_dict(d["domain"])
experiment_params = d.get("experiment_params", {})
exp = cls(domain=domain, **experiment_params)
exp._data = DataSet.from_dict(d["data"])
for e in d["extras"]:
if type(e) == dict:
exp.extras.append(unjsonify_dict(e))
elif type(e) == list:
exp.extras.append(np.array(e))
else:
exp.extras.append(e)
return exp