high level intro wip
{
"cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This example shows how to use a `GridInterpolationKernel` module on an `ExactGP` model. This module is designed for\n",
+ "- When you want to use exact inference (e.g. for regression)\n",
+ "### To be continued"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 1,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"import math\n",
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"# Training points are in [0,1] every 1/999\n",
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
"outputs": [],
"source": [
"# We use exact GP inference for regression\n",
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 2",
"language": "python",
- "name": "python3"
+ "name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
- "version": 3
+ "version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.6.4"
+ "pygments_lexer": "ipython2",
+ "version": "2.7.14"
}
},
"nbformat": 4,
