graphkit-learn/notebooks/run_pathkernel.ipynb

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      "\n",
      "Acyclic\n",
      "\n",
      "--- This is a regression problem ---\n",
      "\n",
      "\n",
      "I. Loading dataset from file...\n",
      "\n",
      "2. Calculating gram matrices. This could take a while...\n",
      "getting shortest paths: 100%|██████████| 183/183 [00:00<00:00, 3803.50it/s]\n",
      "calculating kernels: 100%|█████████▉| 16817/16836.0 [00:13<00:00, 484.77it/s] \n",
      " --- mean average path kernel matrix of size 183 built in 13.229421854019165 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:13<00:00, 1277.44it/s]\n",
      "\n",
      "the gram matrix is: \n",
      "[[1.         0.74535599 0.4        ... 0.33709993 0.35355339 0.35028472]\n",
      " [0.74535599 1.         0.2981424  ... 0.25125945 0.26352314 0.26108682]\n",
      " [0.4        0.2981424  1.         ... 0.43822991 0.45961941 0.45537014]\n",
      " ...\n",
      " [0.33709993 0.25125945 0.43822991 ... 1.         0.80150449 0.76752621]\n",
      " [0.35355339 0.26352314 0.45961941 ... 0.80150449 1.         0.81737272]\n",
      " [0.35028472 0.26108682 0.45537014 ... 0.76752621 0.81737272 1.        ]]\n"
     ]
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