graphkit-learn/notebooks/run_treeletkernel_acyclic.ipynb

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  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
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     "output_type": "stream",
     "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",
      " --- treelet kernel matrix of size 183 built in 0.4853649139404297 seconds ---\n",
      "\n",
      "gram matrix with parameters {} is: \n",
      "[[4.00000000e+00 2.60653066e+00 1.00000000e+00 ... 1.26641655e-14\n",
      "  1.26641655e-14 1.26641655e-14]\n",
      " [2.60653066e+00 6.00000000e+00 1.00000000e+00 ... 1.26641655e-14\n",
      "  1.26641655e-14 1.26641655e-14]\n",
      " [1.00000000e+00 1.00000000e+00 4.00000000e+00 ... 3.00000000e+00\n",
      "  3.00000000e+00 3.00000000e+00]\n",
      " ...\n",
      " [1.26641655e-14 1.26641655e-14 3.00000000e+00 ... 1.80000000e+01\n",
      "  1.30548713e+01 8.19020657e+00]\n",
      " [1.26641655e-14 1.26641655e-14 3.00000000e+00 ... 1.30548713e+01\n",
      "  2.20000000e+01 9.71901120e+00]\n",
      " [1.26641655e-14 1.26641655e-14 3.00000000e+00 ... 8.19020657e+00\n",
      "  9.71901120e+00 1.60000000e+01]]\n"
     ]
    },
    {
     "data": {