def save_weights_object(savedir, weights):
if not os.path.isdir(savedir):
os.makedirs(savedir)
for m_type in weights:
if weights[m_type] is not None:
save_numpy_matrix(os.path.join(savedir, m_type), weights[m_type])
with open(os.path.join(rep_save_path, 'timing'), 'w') as f:
f.write(json.dumps(time_dict))
else:
with open(os.path.join(rep_save_path, 'timing')) as f:
time_dict = json.loads(f.read().strip())
# Get metadata importances
monet0_importances = numpy.matmul(embeddings['monet0']['H1'],
numpy.transpose(embeddings['monet0']['H2']))
monet_importances = numpy.matmul(embeddings['monet']['H1'],
numpy.transpose(embeddings['monet']['H2']))
print('saving monet0_importances to %s' %
(os.path.join(rep_save_path, 'monet0_importances')))
print('monet0 importances:')
print(monet0_importances)
save_numpy_matrix(
os.path.join(rep_save_path, 'monet0_importances'), monet0_importances)
print('saving monet_importances to %s' %
(os.path.join(rep_save_path, 'monet_importances')))
print('monet importances:')
print(monet_importances)
save_numpy_matrix(
os.path.join(rep_save_path, 'monet_importances'), monet_importances)
# Get leakages
print('computing leakages')
for method in embeddings:
if embeddings[method] is not None:
if 'monet' in method:
leakage_dict[method] = float(
compute_leakage(embeddings[method]['Z'], embeddings[method]['W']))
else: