graphkit-learn/notebooks/run_marginalizedkernel_acyclic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "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",
      " --- marginalized kernel matrix of size 183 built in 440.4844558238983 seconds ---\n",
      "\n",
      "gram matrix with parameters {'p_quit': 0.1} is: \n",
      "[[0.0287062  0.0124634  0.00444444 ... 0.00606061 0.00606061 0.00606061]\n",
      " [0.0124634  0.01108958 0.00333333 ... 0.00454545 0.00454545 0.00454545]\n",
      " [0.00444444 0.00333333 0.0287062  ... 0.00819912 0.00819912 0.00975875]\n",
      " ...\n",
      " [0.00606061 0.00454545 0.00819912 ... 0.02846735 0.02836907 0.02896354]\n",
      " [0.00606061 0.00454545 0.00819912 ... 0.02836907 0.02831424 0.0288712 ]\n",
      " [0.00606061 0.00454545 0.00975875 ... 0.02896354 0.0288712  0.02987915]]\n"
     ]
    },
    {
     "data": {