'default': 2.0, 'help': 'Regularization for the matrix sqrt algorithm' }], [('--reg2', ), { 'type': float, 'default': 1E-8, 'help': 'Regularization for the gradient of the bures metric' }], [('--log_period', '-lp'), { 'type': int, 'default': 50, 'help': 'Logging period' }]] argparser = Parser("Deep Elliptical Embeddings") argparser.add_arguments(args) opt = argparser.get_dictionary() viz = Visdom(port=8098) vm = VisualManager(viz, 'marco') root = r'/mnt/DATA/Prob_IR/' context_dataset_name = r'context_data' encoded_docs_filename = r'encoded_docs_model' word_index_filename = r'word_index' emb_filename = r'embeddings_dim_' + str(opt['dim']) + '_margin_' + str( opt['margin']) emb_path = os.path.join(root, emb_filename) context_dataset_path = os.path.join(root, context_dataset_name) print("Loading data...")