graphkit-learn/notebooks/run_marginalizedkernel_acyclic.ipynb

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   "cell_type": "code",
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     "text": [
      "\n",
      "--- This is a regression problem ---\n",
      "\n",
      "1. Loading dataset from file...\n",
      "\n",
      "2. Calculating gram matrices. This could take a while...\n",
      "\n",
      "gram matrix with parameters {'p_quit': 0.10000000000000001} is: \n",
      "calculate kernels: 100%|██████████| 16836/16836.0 [1:46:28<00:00,  1.48it/s]\n",
      " --- marginalized kernel matrix of size 183 built in 6388.502187728882 seconds ---\n",
      "[[ 1.          0.64549125  0.1238602  ...,  0.18744115  0.18784508\n",
      "   0.18052003]\n",
      " [ 0.64549125  1.          0.13569668 ...,  0.20535363  0.20579615\n",
      "   0.19777109]\n",
      " [ 0.1238602   0.13569668  1.         ...,  0.27603195  0.27457716\n",
      "   0.29886586]\n",
      " ..., \n",
      " [ 0.18744115  0.20535363  0.27603195 ...,  1.          0.99990821\n",
      "   0.99626713]\n",
      " [ 0.18784508  0.20579615  0.27457716 ...,  0.99990821  1.          0.99550561]\n",
      " [ 0.18052003  0.19777109  0.29886586 ...,  0.99626713  0.99550561  1.        ]]\n"
     ]
    },
    {
     "data": {