def deserialize_ridge_regressor(model_dict):
model = Ridge(model_dict["params"])
model.coef_ = np.array(model_dict["coef_"])
if "n_iter_" in model_dict:
model.n_iter_ = np.array(model_dict["n_iter_"])
if isinstance(model_dict["intercept_"], list):
model.intercept_ = np.array(model_dict["intercept_"])
else:
model.intercept_ = float(model_dict["intercept_"])
return model
def deserialize_ridge_regressor(model_dict):
model = Ridge(model_dict['params'])
model.coef_ = np.array(model_dict['coef_'])
if 'n_iter_' in model_dict:
model.n_iter_ = np.array(model_dict['n_iter_'])
if isinstance(model_dict['intercept_'], list):
model.intercept_ = np.array(model_dict['intercept_'])
else:
model.intercept_ = float(model_dict['intercept_'])
return model
