def test_networks(filenames, xs, ys):
from neural_net import NeuralNet
N, D = xs.shape
Ny, M = ys.shape
assert N == Ny
nn = NeuralNet(input_dim=D, output_dim=M)
mpes = []
filenames = sorted(filenames)
for filename in filenames:
nn.load(filename)
mpes.append(mean_percent_error(nn, xs, ys))
return mpes, filenames
