{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# GPyOpt: Initial designs\n", "\n", "### Written by Javier Gonzalez, Amazon Reseach Cambridge\n", "\n", "\n", "*Last updated, July 2017.*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before starting the optimization, it is important to initialize the model. This notebook quickly takes you over the available initial designs available in GPyOpt." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%pylab inline \n", "import numpy as np\n", "import GPyOpt\n", "import GPy\n", "from GPyOpt.experiment_design import initial_design\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "func = GPyOpt.objective_examples.experimentsNd.alpine1(input_dim=2) \n", "\n", "mixed_domain =[{'name': 'var1_2', 'type': 'continuous', 'domain': (-10,10),'dimensionality': 1},\n", " {'name': 'var5', 'type': 'continuous', 'domain': (-1,5)}]\n", "\n", "space = GPyOpt.Design_space(mixed_domain)\n", "data_init = 500" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "### --- Grid design\n", "X = initial_design('grid',space,data_init)\n", "plt.plot(X[:,0],X[:,1],'b.')\n", "plt.title('Grid design')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "### --- Random initial design\n", "X = initial_design('random',space,data_init)\n", "plt.plot(X[:,0],X[:,1],'b.')\n", "plt.title('Random design')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "### --- Latin design\n", "X = initial_design('latin',space,data_init)\n", "plt.plot(X[:,0],X[:,1],'b.')\n", "plt.title('Latin design')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "### --- Sobol design\n", "X = initial_design('sobol',space,data_init)\n", "plt.plot(X[:,0],X[:,1],'b.')\n", "plt.title('Sobol design')" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 1 }