f36b62a91f612342492c4c7c1cfff52b24966537,examples/trials/sklearn/regression/main.py,,get_model,#Any#,54

Before Change

    try:
        if PARAMS["model_name"] == "SVR":
            model.kernel = PARAMS["svr_kernel"]
        elif PARAMS["model_name"] == "KNeighborsRegressor":
            model.weights = PARAMS["knr_weights"]
    except Exception as exception:
        LOG.exception(exception)

After Change

        exit(1)

    model = model_dict[PARAMS["model_name"]]
    model.normalize = bool(PARAMS["normalize"])

    return model

def run(X_train, X_test, y_train, y_test, model):

Instances