Tidying classification notebook.
{
"cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "from matplotlib import pyplot as plt\n",
- "plt.style.use('ggplot')\n",
- "%matplotlib inline\n",
- "import sys\n",
- "import csv\n",
- "import numpy as np\n",
- "import GPflow"
- ]
- },
{
"cell_type": "markdown",
"metadata": {
"\n",
"This script replicates \n",
"\n",
- "Hensman, Matthews, Ghahramani, AISTATS 2015, Scalable Variational Gaussian Process Classification.\n",
- "\n",
- "Figure 1 Row1.\n",
+ "Hensman, Matthews, Ghahramani, AISTATS 2015, Scalable Variational Gaussian Process Classification, Figure 1 Row 1.\n",
"\n",
"It serves to demonstrate sparse variational GP classification on a simple, easily visualized dataset."
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "from matplotlib import pyplot as plt\n",
+ "plt.style.use('ggplot')\n",
+ "%matplotlib inline\n",
+ "import sys\n",
+ "import csv\n",
+ "import numpy as np\n",
+ "import GPflow"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 2,
