graphkit-learn/notebooks/unfinished/run_treeletkernel_acyclic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "autoscroll": false,
    "ein.tags": "worksheet-0",
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "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",
      " --- treelet kernel matrix of size 183 built in 0.4760627746582031 seconds ---\n",
      "\n",
      "gram matrix with parameters {} is: \n",
      "[[1.00000000e+00 5.32055843e-01 2.50000000e-01 ... 1.49248622e-15\n",
      "  1.35000458e-15 1.58302069e-15]\n",
      " [5.32055843e-01 1.00000000e+00 2.04124145e-01 ... 1.21860990e-15\n",
      "  1.10227413e-15 1.29253098e-15]\n",
      " [2.50000000e-01 2.04124145e-01 1.00000000e+00 ... 3.53553391e-01\n",
      "  3.19801075e-01 3.75000000e-01]\n",
      " ...\n",
      " [1.49248622e-15 1.21860990e-15 3.53553391e-01 ... 1.00000000e+00\n",
      "  6.56031966e-01 4.82612551e-01]\n",
      " [1.35000458e-15 1.10227413e-15 3.19801075e-01 ... 6.56031966e-01\n",
      "  1.00000000e+00 5.18025037e-01]\n",
      " [1.58302069e-15 1.29253098e-15 3.75000000e-01 ... 4.82612551e-01\n",
      "  5.18025037e-01 1.00000000e+00]]\n"
     ]
    },
    {
     "data": {