e9e42aee59e3fc515d8826c5b785c5585cf3d633,snntoolbox/core/pipeline.py,,test_full,#Any#Any#Any#Any#,25

Before Change

        np.save(samples, np.array([X_train, Y_train, X_test, Y_test]))

    // Load model structure and weights.
    model = load_model(settings["filename"])

    // Extract architecture and weights from model.
    snn = SNN(model)
    if settings["verbose"] > 0:

After Change

    if len(params) > 1 and settings["verbose"] > 0:
        print("Testing SNN for hyperparameter values {} = ".format(param_name))
        print(["{:.2f}".format(i) for i in params])
        print("\n")

    // Loop over parameter to sweep
    for p in params:
        assert param_name in settings, "Unkown parameter"

Instances