examples/SVM_Example_Screen_shot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# An example tuning the hyperparameters of SVM classifier is shown as usecase."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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": "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": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "tuner_user = Tuner(param_dict, objectiveSVM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = tuner_user.maximize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best hyper parameters: {'C': 2.2848888562859843e-07, 'gamma': 1.3459199490366411}\n",
      "best objective: 0.8267973856209151\n"
     ]
    }
   ],
   "source": [
    "print('best hyper parameters:',results['best_params'])\n",
    "print('best objective:',results['best_objective'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample hyper parameters tried: 61\n",
      "[{'C': 2.2797217116926006e-05, 'gamma': 2.3762350501891523}, {'C': 0.9822824495679169, 'gamma': 0.1413949302078569}]\n"
     ]
    }
   ],
   "source": [
    "print('Sample hyper parameters tried:',len(results['params_tried']))\n",
    "print(results['params_tried'][:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample objective values 61\n",
      "[0.8206699346405228, 0.8133169934640523, 0.8206699346405228, 0.7933006535947712, 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": 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 = 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": 13,
   "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": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{   'best_objective': 0.8337418300653594,\n",
      "    'best_params': {'C': 0.3069046012485075, 'gamma': 1.1319023650357454},\n",
      "    'objective_values': [   0.8206699346405228,\n",
      "                            0.8133169934640523,\n",
      "                            0.8206699346405228,\n",
      "                            0.7933006535947712,\n",
      "                            0.8141339869281046,\n",
      "                            0.8141339869281046,\n",
      "                            0.8071895424836603,\n",
      "                            0.8145424836601306,\n",
      "                            0.8141339869281046,\n",
      "                            0.8010620915032679,\n",
      "                            0.8267973856209151,\n",
      "                            0.8141339869281046,\n",
      "                            0.8267973856209151,\n",
      "                            0.8002450980392157,\n",
      "                            0.8075980392156863,\n",
      "                            0.8141339869281046,\n",
      "                            0.7736928104575163,\n",
      "                            0.8141339869281046,\n",
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      "                            0.8141339869281046,\n",
      "                            0.8141339869281046],\n",
      "    'params_tried': [   {   'C': 2.2797217116926006e-05,\n",
      "                            'gamma': 2.3762350501891523},\n",
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      "                        {'C': 0.9474791792963894, 'gamma': 4.015921153770736},\n",
      "                        {'C': 0.26868616554988906, 'gamma': 3.6664118911184826},\n",
      "                        {   'C': 9.755385057573212e-07,\n",
      "                            'gamma': 1.5646834427692142},\n",
      "                        {   'C': 9.032531032124529e-05,\n",
      "                            'gamma': 2.690952871286565},\n",
      "                        {'C': 0.7451160342833911, 'gamma': 1.0613661121381268},\n",
      "                        {'C': 0.8054797678710173, 'gamma': 0.12736097388020476},\n",
      "                        {'C': 0.7288406751685277, 'gamma': 3.885917575875969},\n",
      "                        {   'C': 1.5342556734876175e-06,\n",
      "                            'gamma': 1.9871128353075815},\n",
      "                        {'C': 0.9814946038175191, 'gamma': 1.4090641515510973},\n",
      "                        {'C': 0.9497257605270424, 'gamma': 3.5168338809382065},\n",
      "                        {'C': 0.23600738843406643, 'gamma': 1.4313304679345356},\n",
      "                        {'C': 0.7496196861913527, 'gamma': 1.789180331026063},\n",
      "                        {   'C': 0.00343518250265016,\n",
      "                            'gamma': 0.10458446570261062},\n",
      "                        {'C': 0.9520916906518535, 'gamma': 1.9105393320783652},\n",
      "                        {'C': 0.6635374747864393, 'gamma': 3.0728665156237907},\n",
      "                        {'C': 0.2107348061714296, 'gamma': 3.015312806919289},\n",
      "                        {'C': 0.9934711365203119, 'gamma': 3.2069648918223654},\n",
      "                        {'C': 0.6895247954528585, 'gamma': 1.3827911661841585},\n",
      "                        {'C': 0.5337502571018965, 'gamma': 2.2480740852418366},\n",
      "                        {'C': 0.1439945627225412, 'gamma': 3.9918486630676058}],\n",
      "    'random_params': [   {   'C': 2.2797217116926006e-05,\n",
      "                             'gamma': 2.3762350501891523}],\n",
      "    'random_params_objective': [0.8206699346405228]}\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": []
  }
 ],
 "metadata": {
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   "name": "python",
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   "pygments_lexer": "ipython3",
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 },
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