def METHOD_NAME():
    head = head_module.ClassificationHead(
        name="a", multi_label=True, num_classes=8, shape=(8,)
    )
    input_node = keras.Input(shape=(5,))
    output_node = head.build(keras_tuner.HyperParameters(), input_node)
    model = keras.Model(input_node, output_node)
    assert model.layers[-1].activation.__name__ == "sigmoid"
    assert head.loss.name == "binary_crossentropy"