def test_assemble_gpgru():
for gp_type in ['GP', 'MSGP']:
model = assemble('GP-GRU', [gru_configs['1H'], gp_configs[gp_type]])
loss = [gen_gp_loss(gp) for gp in model.output_layers]
model.compile(optimizer=optimizer, loss=loss)
assert model.built
def test_assemble_gru():
for i in xrange(1, 3):
model = assemble('GRU', gru_configs[str(i) + 'H'])
model.compile(optimizer=optimizer, loss='mse')
assert model.built
def test_assemble_rnn():
for i in xrange(1, 3):
model = assemble('RNN', rnn_configs[str(i) + 'H'])
model.compile(optimizer=optimizer, loss='mse')
assert model.built
def test_assemble_lstm():
for i in xrange(1, 3):
model = assemble('LSTM', lstm_configs[str(i) + 'H'])
model.compile(optimizer=optimizer, loss='mse')
assert model.built
def test_assemble_narx():
for i in xrange(3):
model = assemble('NARX', narx_configs[str(i) + 'H'])
model.compile(optimizer=optimizer, loss='mse')
assert model.built