graphkit-learn/notebooks/run_spkernel_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",
      "--- shortest path kernel matrix of size 183 built in 13.54222846031189 seconds ---\n",
      "\n",
      "gram matrix with parameters {} is: \n",
      "[[1.         0.23570226 1.         ... 0.07784989 0.07784989 0.07784989]\n",
      " [0.23570226 1.         0.23570226 ... 0.         0.         0.16514456]\n",
      " [1.         0.23570226 1.         ... 0.07784989 0.07784989 0.07784989]\n",
      " ...\n",
      " [0.07784989 0.         0.07784989 ... 1.         0.38181818 0.12727273]\n",
      " [0.07784989 0.         0.07784989 ... 0.38181818 1.         0.12727273]\n",
      " [0.07784989 0.16514456 0.07784989 ... 0.12727273 0.12727273 1.        ]]\n"
     ]
    },
    {
     "data": {