def test_correct_default_kwargs_length(self):
l2n = LifelongClassificationNetwork(keras.Sequential())
# transformer
assert len(l2n.pl_.default_transformer_kwargs) == 5
# voter
assert len(l2n.pl_.default_voter_kwargs) == 0
# decider
assert len(l2n.pl_.default_decider_kwargs) == 0
def test_correct_default_network_construction_proportion(self):
l2n = LifelongClassificationNetwork(keras.Sequential())
assert l2n.default_network_construction_proportion == 0.67
def test_correct_default_decider(self):
l2n = LifelongClassificationNetwork(keras.Sequential())
assert l2n.pl_.default_decider_class == SimpleArgmaxAverage
def test_correct_default_voter(self):
l2n = LifelongClassificationNetwork(keras.Sequential())
assert l2n.pl_.default_voter_class == KNNClassificationVoter
def test_correct_default_transformer(self):
l2n = LifelongClassificationNetwork(keras.Sequential())
assert l2n.pl_.default_transformer_class == NeuralClassificationTransformer
def test_initialize(self):
l2n = LifelongClassificationNetwork(keras.Sequential())
assert True
def test_correct_default_transformer_voter_decider_split(self):
l2n = LifelongClassificationNetwork(keras.Sequential())
assert l2n.default_transformer_voter_decider_split == [0.67, 0.33, 0]