{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run a simple benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import olympus\n",
    "from olympus import Olympus\n",
    "from olympus import Campaign"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create olympus\n",
    "olymp = Olympus()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0;37m[INFO] Loading emulator using a BayesNeuralNet model for the dataset alkox...\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "# run olympus for specific experimentation scenario\n",
    "olymp.run(dataset='alkox', planner='hyperopt', campaign=Campaign())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0;37m[INFO] Loading emulator using a BayesNeuralNet model for the dataset alkox...\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "# run olympus with another planner\n",
    "olymp.run(dataset='alkox', planner='gpyopt', campaign=Campaign())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from olympus import Plotter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotter = Plotter()\n",
    "plotter.plot_from_db(olymp.evaluator.database)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "olympus",
   "language": "python",
   "name": "olympus"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}