examples/SVM_Example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# An example tuning the hyperparameters of SVM classifier is shown as usecase."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mango.tuner import Tuner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import uniform\n",
    "from mango.domain.distribution import loguniform\n",
    "\n",
    "param_dict = {\"gamma\": uniform(0.1, 4),\n",
    "              \"C\": loguniform(-7, 7)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# userObjective"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import svm, datasets\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "iris = datasets.load_iris()\n",
    "\n",
    "# Take only the first two features.\n",
    "X = iris.data[:,:2]\n",
    "Y = iris.target\n",
    "\n",
    "def objectiveSVM(args_list):\n",
    "    global X,Y\n",
    "    \n",
    "    results = []\n",
    "    for hyper_par in args_list:\n",
    "        clf = svm.SVC(**hyper_par)\n",
    "        result  = cross_val_score(clf, X, Y, scoring='accuracy').mean()\n",
    "        results.append(result)\n",
    "    return results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "conf_Dict = dict()\n",
    "conf_Dict['batch_size'] = 3\n",
    "conf_Dict['num_iteration'] = 20\n",
    "conf_Dict['domain_size'] = 1000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Defining Tuner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "tuner_user = Tuner(param_dict, objectiveSVM, conf_Dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'param_dict': {'gamma': <scipy.stats._distn_infrastructure.rv_frozen at 0x111985a10>,\n",
       "  'C': <scipy.stats._distn_infrastructure.rv_frozen at 0x1213bde10>},\n",
       " 'userObjective': <function __main__.objectiveSVM(args_list)>,\n",
       " 'domain_size': 1000,\n",
       " 'initial_random': 1,\n",
       " 'num_iteration': 20,\n",
       " 'objective': 'maximize',\n",
       " 'batch_size': 3,\n",
       " 'optimizer': 'Bayesian'}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuner_user.getConf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = tuner_user.maximize()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Inspect the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best hyper parameters: {'C': 0.14141448138204452, 'gamma': 1.108381123540644}\n",
      "best objective: 0.8337418300653594\n"
     ]
    }
   ],
   "source": [
    "print('best hyper parameters:',results['best_params'])\n",
    "print('best objective:',results['best_objective'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample hyper parameters tried: 61\n",
      "[{'C': 6.803175982928234e-06, 'gamma': 3.8760537843338168}, {'C': 1.0737868597766003e-06, 'gamma': 0.1037808098068175}]\n"
     ]
    }
   ],
   "source": [
    "print('Sample hyper parameters tried:',len(results['params_tried']))\n",
    "print(results['params_tried'][:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample objective values 61\n",
      "[0.8141339869281046, 0.7732843137254902, 0.7802287581699346, 0.8141339869281046, 0.8141339869281046]\n"
     ]
    }
   ],
   "source": [
    "print('Sample objective values',len(results['objective_values']))\n",
    "print(results['objective_values'][:5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting the variation in objective values of the tried results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Size = 201 \n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "fig = plt.figure(figsize=(30,5))\n",
    "plt.title('Variation of Objective',fontsize=20)\n",
    "plt.plot(results['objective_values'][:Size],lw=4,label='BL')\n",
    "plt.xlabel('Configuration', fontsize=25)\n",
    "plt.ylabel('objective_values',fontsize=25)\n",
    "plt.xticks(fontsize=20)\n",
    "plt.yticks(fontsize=20)\n",
    "plt.legend(prop={'size': 30})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting the variation of Max objective values of the tried results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Size = 30 \n",
    "\n",
    "import numpy as np\n",
    "\n",
    "results_obj = np.array(results['objective_values'])\n",
    "\n",
    "y_max=[]\n",
    "for i in range(results_obj.shape[0]):\n",
    "    y_max.append(np.max(results_obj[:i+1]))\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "fig = plt.figure(figsize=(30,5))\n",
    "plt.title('Max variation of Objective',fontsize=20)\n",
    "plt.plot(y_max[:Size],lw=4,label='BL')\n",
    "plt.xlabel('Configurations', fontsize=25)\n",
    "plt.ylabel('objective_values',fontsize=25)\n",
    "plt.xticks(fontsize=20)\n",
    "plt.yticks(fontsize=20)\n",
    "plt.legend(prop={'size': 30})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# See the Result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{   'best_objective': 0.8337418300653594,\n",
      "    'best_params': {'C': 0.15437624798108956, 'gamma': 1.109582126269499},\n",
      "    'objective_values': [   0.8267973856209151,\n",
      "                            0.8010620915032679,\n",
      "                            0.8206699346405228,\n",
      "                            0.8141339869281046,\n",
      "                            0.8133169934640523,\n",
      "                            0.8141339869281046,\n",
      "                            0.8075980392156863,\n",
      "                            0.7732843137254902,\n",
      "                            0.8267973856209151,\n",
      "                            0.8141339869281046,\n",
      "                            0.8075980392156863,\n",
      "                            0.8071895424836603,\n",
      "                            0.8141339869281046,\n",
      "                            0.8267973856209151,\n",
      "                            0.8206699346405228,\n",
      "                            0.8267973856209151,\n",
      "                            0.8141339869281046,\n",
      "                            0.8063725490196078,\n",
      "                            0.8063725490196078,\n",
      "                            0.8071895424836603,\n",
      "                            0.8075980392156863,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8337418300653594,\n",
      "                            0.8133169934640523,\n",
      "                            0.8075980392156863,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8133169934640523,\n",
      "                            0.8075980392156863,\n",
      "                            0.8337418300653594,\n",
      "                            0.7998366013071895,\n",
      "                            0.8198529411764706,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8075980392156863,\n",
      "                            0.8206699346405228,\n",
      "                            0.8337418300653594,\n",
      "                            0.8337418300653594,\n",
      "                            0.8071895424836603,\n",
      "                            0.7998366013071895,\n",
      "                            0.8075980392156863,\n",
      "                            0.8337418300653594,\n",
      "                            0.8337418300653594,\n",
      "                            0.8337418300653594,\n",
      "                            0.812908496732026,\n",
      "                            0.8141339869281046,\n",
      "                            0.8206699346405228,\n",
      "                            0.8141339869281046,\n",
      "                            0.8075980392156863,\n",
      "                            0.8267973856209151,\n",
      "                            0.8337418300653594,\n",
      "                            0.8267973856209151,\n",
      "                            0.8337418300653594,\n",
      "                            0.7933006535947712,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8071895424836603],\n",
      "    'params_tried': [   {   'C': 0.0036934030607970597,\n",
      "                            'gamma': 1.247799959755476},\n",
      "                        {'C': 0.5326777284483912, 'gamma': 4.075735075985743},\n",
      "                        {'C': 5.677151553391925e-07, 'gamma': 2.67116639856545},\n",
      "                        {   'C': 7.149128288622009e-05,\n",
      "                            'gamma': 3.010504960630256},\n",
      "                        {'C': 0.9548285209885206, 'gamma': 0.11250562929684929},\n",
      "                        {'C': 0.8459309768713487, 'gamma': 1.8066426862846696},\n",
      "                        {'C': 0.9140599442819524, 'gamma': 2.577308003622082},\n",
      "                        {   'C': 3.371370806443806e-06,\n",
      "                            'gamma': 0.1014439744197281},\n",
      "                        {   'C': 1.3333832805176402e-06,\n",
      "                            'gamma': 1.8269769708318289},\n",
      "                        {'C': 0.2835124558961926, 'gamma': 1.6767019205977571},\n",
      "                        {   'C': 0.0001519088220401006,\n",
      "                            'gamma': 4.083624516913978},\n",
      "                        {'C': 0.9887926312684057, 'gamma': 0.749820569867356},\n",
      "                        {'C': 0.9869025351393892, 'gamma': 3.5354796464816842},\n",
      "                        {   'C': 1.6075133628673125e-07,\n",
      "                            'gamma': 1.5135070307137584},\n",
      "                        {   'C': 4.985580085315328e-07,\n",
      "                            'gamma': 2.1980596387624716},\n",
      "                        {   'C': 2.49819119690832e-06,\n",
      "                            'gamma': 1.4096997655925283},\n",
      "                        {'C': 0.928773961933718, 'gamma': 4.041276529902251},\n",
      "                        {'C': 0.38328836072931183, 'gamma': 0.421656385638025},\n",
      "                        {   'C': 2.2920060243615987e-07,\n",
      "                            'gamma': 0.7476639550646177},\n",
      "                        {'C': 0.6094629819957352, 'gamma': 1.1778526768002076},\n",
      "                        {'C': 0.45822571626776926, 'gamma': 3.0567027190428964},\n",
      "                        {   'C': 1.3488229174515897e-07,\n",
      "                            'gamma': 3.669284255546337},\n",
      "                        {'C': 0.5174464507451795, 'gamma': 2.1998068954533596},\n",
      "                        {'C': 0.9691682356755389, 'gamma': 3.107953681642069},\n",
      "                        {'C': 0.15437624798108956, 'gamma': 1.109582126269499},\n",
      "                        {'C': 0.46638885837192157, 'gamma': 0.7225255042267457},\n",
      "                        {'C': 0.9713961067485137, 'gamma': 2.3232200442221935},\n",
      "                        {'C': 0.28113285194848453, 'gamma': 2.5765617061374346},\n",
      "                        {'C': 0.934478611733374, 'gamma': 1.5019170961631483},\n",
      "                        {'C': 0.6217747716097664, 'gamma': 0.17613050410072476},\n",
      "                        {'C': 0.51696204975999, 'gamma': 3.56082789825432},\n",
      "                        {'C': 0.2178961975279238, 'gamma': 1.246085341411344},\n",
      "                        {'C': 0.9550885505556186, 'gamma': 0.3834201757436645},\n",
      "                        {'C': 0.17412410189001898, 'gamma': 0.9267046958484174},\n",
      "                        {'C': 0.24108695495345417, 'gamma': 3.8921140612862124},\n",
      "                        {'C': 0.1580059258966926, 'gamma': 3.4234441364616046},\n",
      "                        {'C': 0.725242899868982, 'gamma': 3.798521002741848},\n",
      "                        {'C': 0.17054146199073894, 'gamma': 2.0466895090303994},\n",
      "                        {'C': 0.1306799720725912, 'gamma': 1.369791414029724},\n",
      "                        {'C': 0.09102947482644747, 'gamma': 1.1445016804537604},\n",
      "                        {'C': 0.932811667995263, 'gamma': 1.1238052616319418},\n",
      "                        {   'C': 0.32658068494716624,\n",
      "                            'gamma': 0.12117747291125883},\n",
      "                        {'C': 0.6535588576189509, 'gamma': 2.6715453849423114},\n",
      "                        {'C': 0.11197148067376736, 'gamma': 1.2531529801177173},\n",
      "                        {'C': 0.17241147259944917, 'gamma': 1.3017532123348614},\n",
      "                        {'C': 0.10367763061006563, 'gamma': 1.1883586381354063},\n",
      "                        {'C': 0.8018408947073234, 'gamma': 0.615096641148653},\n",
      "                        {'C': 0.17677307791903568, 'gamma': 2.902179955434326},\n",
      "                        {'C': 0.13854764480565993, 'gamma': 2.3641564229809426},\n",
      "                        {'C': 0.9227264294021792, 'gamma': 1.8916886366344325},\n",
      "                        {'C': 0.7019222466170011, 'gamma': 3.4010325661811693},\n",
      "                        {   'C': 4.3870428125696136e-07,\n",
      "                            'gamma': 1.024277370320061},\n",
      "                        {'C': 0.1155799528868214, 'gamma': 1.4646347161019762},\n",
      "                        {'C': 0.1625178658570493, 'gamma': 1.2482970271830247},\n",
      "                        {'C': 0.15190592733511848, 'gamma': 1.2398954345617548},\n",
      "                        {   'C': 1.2865901229913011e-06,\n",
      "                            'gamma': 0.4000209773083995},\n",
      "                        {'C': 0.5583124476196448, 'gamma': 1.446400701277291},\n",
      "                        {   'C': 5.657361105832184e-06,\n",
      "                            'gamma': 3.308987393384284},\n",
      "                        {'C': 0.9851068019153254, 'gamma': 2.8846360321279834},\n",
      "                        {'C': 0.5817905656545579, 'gamma': 1.9350934745759538},\n",
      "                        {'C': 0.7344860500229329, 'gamma': 0.9245382516437267}],\n",
      "    'random_params': [{'C': 0.0036934030607970597, 'gamma': 1.247799959755476}],\n",
      "    'random_params_objective': [0.8267973856209151]}\n"
     ]
    }
   ],
   "source": [
    "import pprint\n",
    "pp = pprint.PrettyPrinter(indent=4)\n",
    "pp.pprint(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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