{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LEARNING APPLICATIONS\n",
    "\n",
    "In this notebook we will take a look at some indicative applications of machine learning techniques. We will cover content from [`learning.py`](https://github.com/aimacode/aima-python/blob/master/learning.py), for chapter 18 from Stuart Russel's and Peter Norvig's book [*Artificial Intelligence: A Modern Approach*](http://aima.cs.berkeley.edu/). Execute the cell below to get started:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from learning import *\n",
    "from notebook import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CONTENTS\n",
    "\n",
    "* MNIST Handwritten Digits\n",
    "    * Loading and Visualising\n",
    "    * Testing\n",
    "* MNIST Fashion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MNIST HANDWRITTEN DIGITS CLASSIFICATION\n",
    "\n",
    "The MNIST Digits database, available from [this page](http://yann.lecun.com/exdb/mnist/), is a large database of handwritten digits that is commonly used for training and testing/validating in Machine learning.\n",
    "\n",
    "The dataset has **60,000 training images** each of size 28x28 pixels with labels and **10,000 testing images** of size 28x28 pixels with labels.\n",
    "\n",
    "In this section, we will use this database to compare performances of different learning algorithms.\n",
    "\n",
    "It is estimated that humans have an error rate of about **0.2%** on this problem. Let's see how our algorithms perform!\n",
    "\n",
    "NOTE: We will be using external libraries to load and visualize the dataset smoothly ([numpy](http://www.numpy.org/) for loading and [matplotlib](http://matplotlib.org/) for visualization). You do not need previous experience of the libraries to follow along."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading MNIST Digits Data\n",
    "\n",
    "Let's start by loading MNIST data into numpy arrays.\n",
    "\n",
    "The function `load_MNIST()` loads MNIST data from files saved in `aima-data/MNIST`. It returns four numpy arrays that we are going to use to train and classify hand-written digits in various learning approaches."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_img, train_lbl, test_img, test_lbl = load_MNIST()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check the shape of these NumPy arrays to make sure we have loaded the database correctly.\n",
    "\n",
    "Each 28x28 pixel image is flattened to a 784x1 array and we should have 60,000 of them in training data. Similarly, we should have 10,000 of those 784x1 arrays in testing data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training images size: (60000, 784)\n",
      "Training labels size: (60000,)\n",
      "Testing images size: (10000, 784)\n",
      "Testing labels size: (10000,)\n"
     ]
    }
   ],
   "source": [
    "print(\"Training images size:\", train_img.shape)\n",
    "print(\"Training labels size:\", train_lbl.shape)\n",
    "print(\"Testing images size:\", test_img.shape)\n",
    "print(\"Testing labels size:\", test_lbl.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing Data\n",
    "\n",
    "To get a better understanding of the dataset, let's visualize some random images for each class from training and testing datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uiR8XVjYWgrueH3/8sdtnk5jnzJmTtee08bQxT1c4Ik6aNm0KJEfnzz33XAA2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\nTSogEJeXVVqLFiyXw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PTfSlMa97zzzhv2PfXUU0DpKWrx38BKX85Hf6tofmqRJulIjpmZ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5317f27400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# takes 5-10 seconds to execute this\n",
    "show_MNIST(train_lbl, train_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YKZIjIiIiIiKhEoo5OVZ688wzzwSgd+/ebp/N0xk4cKBrs7tDdnfTZ2VorRye\n7+qrrwaCu8K77LKL22elB62U74oVK9w+mw9UkOiNhEPZsmWB6LuUnTp1ivozWW+//TYQfX5bKfIu\nXboA8efv2EKQADfccAMQvVhtLvFziI3NsbOITqLytWHjlw63z6Nx48a5tr59+wLx88oPPPBAIFjY\nzb9jabnXJ554IpB9edbp1rp1awD23Xdf12aRlaLgR7mNzanKVXaXN55E83D8iIxFgxLN6ZH4LDpo\nY+eX2vYj/GFm798+ffoA0e+zRHO5bM7iPvvsA8BVV13l9k2cOBEo2s+DbPTrr7/GtFl0x5+jaVEe\n/3snmyiSIyIiIiIioaKLHBERERERCZVQpKuZ1157DYDy5cu7Nts+9thjXZul9MSb7N2jR4+o//fT\nQQpSbtfCpFbStyQ566yzov6/XLlybttC6L/88kux9ilTbIJ3Olb/ffnllwG47rrrgOjJ83a+2uv4\nZcptgrifahSG1dTzssIjfhpfSfHPP/+4bSuv7X9OJSr3/OGHHwKw2267xeyzIi5hTlOzsqgQjMV5\n553n2uKV4i5K8VLYcsn777/vti1VytLP/AIChxxyCBCkt/lpRCNGjIh6nu+ZZ54B0lNwIIyqVasG\nBN+7r7/+utsXxs/9eCxtu3r16kAwjQAKVgr6kksuAeCoo45ybYMHDwZUuhyix8XYNIzvv/++uLtT\nIIrkiIiIiIhIqIQqkmNscVAIJmvbhDII7iT5Cyfmxy/bl7d0nRUpgKBQgb/AVEljE9CMX0bbytqm\nI7KRrY444gi3PXXq1EIdy0r3Alx22WVA/PLHdnfKygeHnU2uv+iii1ybvQ+t2IPP7i6FOSJhNmzY\nkNLz/PPWzJo1q5C9yX7+eFkU5bTTTnNtRRnJ8QuSGFsoNAwsqmMRmVTLS9vioABXXHFFmnoXTnvu\nuWfU/5eUQkf+b7Q2bdoA8OyzzwKpL+RpGTkQv0CV5A5FckREREREJFRCGcnxrVmzBoiOsNj28OHD\nM9KnsLIImpWmLSlsQcZXXnnFtfnzkZJhcwP8BR2LYvHFbGELpPbs2dO1Va1aFYALL7ww5vFWutIe\nE4+/AJzN11m+fHmh+xpWtkCsH4n97bffMtWdjLC7tVbuH4JS735mQGHZAo02v86fP2Vlu8PAoi5T\npkwB4OCDD3b7/EWQ87LIjc2/GTlyZFF1MXRsPop57rnnMtST4mXzbyCYC9u/f/+0HT+VhTvDyha9\n97300ksU4LnYAAAgAElEQVQZ6EnBKZIjIiIiIiKhooscEREREREJldCnq4kUNStkkWyK2sqVK932\nLbfcAsCoUaMAWL9+fZp6l3nbbrstAAMGDHBtAwcOBIIS7ZUrV075+JbaYkVGxo4d6/blLYYhsSxN\n6vjjj89wTzLniy++AKJTU+w8uvbaawGYMWOG2zd//vx8j2WFHCwN0C9jawUHLE3NzlkI1wRnKyFt\nf/pln1VAIH0GDRrktm1pjJJs3bp1QFCA4PPPP0/q+ZY+/eijj7q2klLAIZEmTZoA8b8jUi14U1wU\nyRERERERkVBRJEfSxiaNzp49G4gu253sHZVcYpPht8bKPP/f//0fAA888IDbl2jRxlxnhRP8RXqT\nZSW57c73mDFj3D6Lem3ZsiXl45dkdh7652NJY59Z/iLO559/PgB33nknENwlzrsN0WVsK1WqBCT+\nXLAI49ChQ11bmD8DJL3q1asHQN++fV2bnW/ffvstUHKi2H6RFHvPWiRmxx13dPtuvvnmrR7r7rvv\nBqBu3bqurXnz5mnpZy6zjAv701fY5TKKmiI5IiIiIiISKrrIERERERGRUFG6mqSNpRJZrfqS4vXX\nXwfih3IlSPeJx1IqLE0gP5s3bwai1xURSZeNGzcC0ek/tiaErftVoUIFt8/fhuh0tbzrathabQCf\nffYZAL179wZg0aJFhe67lDznnHMOALVr147Z98EHHwCwevXqYu1TNpg4cSIQFGGwAjcA3bp1A4JU\nNv99uueeewLQsmVLAHbffXe3r6StGRZPrVq1ov7/jz/+cNtr164t7u4kRb/KREREREQkVBTJEZEi\ndf3112e6CyJJszK0e+yxBwAHHXSQ29ezZ08AvvzySwCaNWvm9lnbvHnzAHjnnXfcvh9//LHoOiwl\nhl+WXGJZkYGFCxe6NovgWNaAXwb+m2++AeDYY48FFL3Jq1WrVlH/70egly9fXtzdSYoiOSIiIiIi\nEiqlInkTiLOAn99ckqXyT6Ox+4/GLnUau9QlO3Yat//onEudxi51uTp2tlxDixYtXJstWnnUUUcB\nRR+NyNWxywYau9QlO3aK5IiIiIiISKjoIkdEREREREJF6WpZTCHN1GnsUqexS53S1VKjcy51GrvU\naexSp7FLncYudUpXExERERGREi0rIzkiIiIiIiKpUiRHRERERERCRRc5IiIiIiISKrrIERERERGR\nUNFFjoiIiIiIhIouckREREREJFR0kSMiIiIiIqGiixwREREREQkVXeSIiIiIiEio6CJHRERERERC\nRRc5IiIiIiISKrrIERERERGRUNFFjoiIiIiIhErpTHcgnlKlSmW6C1khEokk/RyN3X80dqnT2KUu\n2bHTuP1H51zqNHap09ilTmOXOo1d6pIdO0VyREREREQkVHSRIyIiIiIioaKLHBERERERCRVd5IiI\niIiISKjoIkdEREREREIlK6uriYiISHYZNGgQAKVLBz8dRowYAcD69esz0icRkfwokiMiIiIiIqGi\nSE4SrrzySgBuv/12ILpe95o1awAYMmQIAHfffXcx9y432J3AoUOHxuy75pprALjtttuKtU/Fzerd\nn3LKKa6tXbt2AJx33nkALFy40O27+eabAXj55ZeB6PPu999/L9rOZpm99toLgOOPP961nXTSSQBU\nrVoVgG+//dbtO/nkk4HU1iXINTvuuCMAt9xyi2u79tprAVi9enXaXmennXYCYMWKFQA0bNjQ7fvu\nu+/S9jqSvW688Ua3PXjwYADq16/v2n799dfi7pJIgRxxxBFRf/puuOGGfJ935JFHAvD2228XQa+k\nqCiSIyIiIiIioaKLHBERERERCRWlq+Vjt912A+DUU091beeccw4A//77b8zjK1euDMAVV1wBKF0t\nL5uoWqdOHSB++lBJSCkCeOCBBwDo06dPzD47t/bYYw/X9sQTT0Q95q+//nLbdt6FXcuWLYEgVWC7\n7bbL97F77rmn2549ezYAF1xwAQCffvppEfUw85o3bw5En1eW+pnOdLXGjRsD8T8Hw8Q+s2rUqAFA\n7969C33Miy66CAhSKz/88EO37/DDDweyewL/li1bYtqefPJJAJYvX17c3REpMEtPs5S0eOlqBXm+\n0tVyiyI5IiIiIiISKork5HH66acDcP311wPQqFGjpJ5fs2ZNAP744w/X9sILLwDQvXv3dHQxZ/hl\nRi+//HIg/t3Qn3/+GYBp06YVT8cyZJdddgGgR48ehTpOuXLl3Hb79u0BePXVVwt1zGxnhQbKli0L\nxC++YHeSmzRp4vYdfPDBAMyZMwcIohAAP/30UxH2uHhUrFjRbd97770AtGjRwrWlqzBFs2bN3PaL\nL76YlmNmI78YiN3xtWIX6WRRsP3339+1lS9fHsjuSI4VjvFt3rwZCH9kT3KPH6156623CnWskhbB\nqVevnts+++yzo/70i8389ttvQFAg6b777iumHhaMIjkiIiIiIhIqiuQQXTbQymFuu+22KR3LygP7\nd1jPOOMMIPruc2Hv5ucCm0cB0WVt87rwwgsB+Oqrr4q8T5k0YMAAIDoSkwo/QuaXbQ2zZ599FoB3\n3nknZt+SJUuAYE5Kly5d3L799tsPCOY42XsR4NZbby2azhYji+RBEHGoVauWa/voo4/S8jr+HLEw\nzgPbZpv/7vd17NjRteWN4PjzUf7++28AKlWqFHOsTZs2AbBhw4aY5+Wd0+LP3Vy3bl1KfS8Ol112\nGRD/7yuSbSyCU9joDcBNN90EhD+S06BBAwAGDhwIRP9G9X9zQHTUtlq1akDwWfbnn3+6fTZfL5MU\nyRERERERkVDRRY6IiIiIiIRKiU5Xs1Wb/cmUidLUHn/8cSAoAXzNNde4fZY25E8kNZbCdtppp7m2\nkSNHAuEuaetPVi6p/Ml7PXv2TPvxi2JSdDb67LPPtvqYb775BoAJEya4NpsomQ1h86Jw4IEHuu21\na9cCwTgUtY0bNwLBxPNcZkVBzjzzzJh9S5cuBYLiKQAzZ84EoHPnzjGPX7x4MQDffvstAGvWrHH7\n0lnKuzj56dfFoUqVKkB0ykz//v2jHmMpgwBdu3YFiu/cT8auu+4KwMsvvwzAPvvs4/ZZmmS8og12\n3gwdOrRAr2NLCzz66KNAkGLot/nLD4SZPwUhL0s7szQ0v82mFNhvtrDzC2tZ8SJbPiUeK+4zceJE\n12bvVSusZUW7IDu+dxXJERERERGRUCmRkZy8EZy8k6p8jz32mNu+5JJLgKDEp3/Xb/vttweCErW2\nCKHPf50TTjgBCGckZ4cddgCgX79++T7GL5P6zz//FHmfMqVVq1Zu2xYATJbdnVy1ahUAhxxyiNvX\noUMHIPFYl2TpmnifbezusC1QDEEkZ8GCBcXSB4tmWOQirKwM9zPPPBOz76GHHiru7oSaLYh69dVX\nA3DssccW6HmvvfYaAO3atXNtFknLtLp16wKw9957A9EFiCyCE28hbCvwcccdd7g2izDEe7wVtbj2\n2msBqF27tttnUUi7yz5mzJhU/ipZzwoNxFvo06I1Rx55ZL7PT7QvTM466ywgOpqVN4IzdepUt21F\nehYuXAhEL5Fi2U9WOMovMmXZK3kXNC9OiuSIiIiIiEio6CJHRERERERCJfTpalb7u1evXq7NQrfx\n0tSWLVsGBBOm/El/eVeitvUQIJgk+Msvv+TbF39yYZjXhJk8eTIQvbp8XpdeeqnbTkct+2yV7HpL\nNol77Nixrs1SDKyIgb9WjK1bYQUIwnxeFVTZsmXd9rnnngsEaaFz5szJSJ/SrXfv3gBUr17dtdkE\n+aLgry9U0lhanhQNW8sK4KWXXgLiFzqwdYTee+89IDo1zVKzrrzyStd23nnnpb+zWcy+a/x1skzN\nmjWBIOX+xRdfdPssDTrs4q2xlleY18LxiwzcddddQLDGje/OO+8EgrRHCIrMxGNpkpbO668/Z+n6\nSlcTERERERFJk1BGcvzVuV955ZWYtrwsegPQrVs3AGbNmpX2fvmlVv1JXWFjd9jiTY6cP38+AM8/\n/3yx9ilT+vTpk+8+P7L39ddfA9CpUycAvv/++5jH+3dijK0uXNIiODbxHoLJuK1btwZgwIABbt9B\nBx0EBBNR33333WLqYdEq7pK+VkykJEoUkS4pLHIYz4wZM1I6pt1FHjZsmGvLe177ZaIvuOACILhj\nbAWEAK666ioguky/RW394kHFpUKFCm67IBGl6dOnu+28ZXetuAwEn2NDhgyJObZ91iViyzr4E+yn\nTJmy1eflCptIH6/wQJs2baL2+Y+xCE685/nnWS579tln3Xa8CM6IESOAIHMkUfSmoKzEfqLfQUVN\nkRwREREREQmVUEVyDj30UCD6Toi/GGN+LG8fCh/BsXLIP//8s2urU6cOECz8BUFkadGiRYV6vUwr\nV66c2x48eHC+j7O8TburVlLygP38VNu2O4xvvPGG2xevPG1eRx99NBB9HtkCc2Fifz9/0TyLVNl7\n1V9wzCI5tqCjz+Z7FeV8lTDbcccdgfgLxE2aNKm4u5MR9j5t0qSJa8vGRSeLks3ziBedb9u2LZB8\ndsJ9990HQPv27WP22ZhbKWmIXW7B5hVAEMnxF3GsUaNGUv1Jp1GjRrnt008/Pd/H2TwR/zF5F+xM\nFGmxTBUI7pb7cylKmrwLffqLgsaL4JhEi4daBCjXyktb5odF+/xMkJ9++gmIXgbFllvYsGFDUq/T\nsmVLAAYOHJh6Z4uQIjkiIiIiIhIqusgREREREZFQCVW6moUTbYXhrbHUKStJmQ6WarPddtvF7PNL\nVp922mlA9KTLXOSnqA0aNCjfx1kI/t577y3yPmUTP50s1dQyS1PzJ9SbL7/8MrWOZRk/7dHKnA4f\nPrzQxx0/fjwAy5cvL/SxSiJLA/JTtey9/Oabb2akT8XNVvD2U6fsO8PSPvyS7+aLL74AoifPC3Tt\n2hWA4447Lt/HPPjgg0BsiloyzjnnHCAz37FWChtiy6/7pYyPOuqoQr3Or7/+6ra/++47IEjZ89Oa\nrcjN7NmzgXAVGygKlu4GuVt44PjjjwfgiiuuiNn3yCOPAMH5UBiXXXYZACeddFKhj1UUFMkRERER\nEZFQCUUk5+yzzwaCyWP+5MN4LIJjC1LaImPpYBGceJOg/cVDx40bl7bXzCSblAexd5D8hVGtlKAk\nz+6m27nln69hKcVtd4OgYHde/Ynfdsfcymn7JX8fffRRICjN7U/K/eyzzwrR45LLiqssXrw4sx1J\no7POOmurj7GFdyG4S2r69u0b8/innnoKgNtuu821lbSCBaZKlSpu2+6M++NpFixYAMD7779f6Nes\nX79+oY+RKovwAaxcuRIIJnR37Ngxba/jlwK2wgNWHMJfosDabr755rS9djayogKJCgkkYtlAYVgU\ndMKECUAwFvb9CPD444+ndMzKlSsDQdEQCDJNspUiOSIiIiIiEiqhiORYmehEEZzXXnvNbVvO//r1\n69PWh7JlywLRd6Tz8stv5vpd0P79+wOw3377uba8d5Bef/11t+/DDz8sxt5lj913391t25gdc8wx\nQPScBivfWLt2bSA6j9s/BgTRCYjOyc5lVmIcgnxxfy7Dxx9/DMDTTz8NRN+VynsMPxfdFhC0SI5/\nTtrdZfs88Mux/vjjj6n+VYrFmjVrYtpsgVT/LtsDDzwABCXt/bvn/t11iF7wsWHDhgAce+yxMa/z\n+++/p9rtrGUli0888UTXZksSJPLDDz8A8aMG3bt3B6Lnnhx44IFAdJQ7F9h3a7wS0gVx+OGHu21/\nfldeDz/8MAArVqxI6XX8/t19990pHSMd/EiURdurV68OxJaILgx7nwK0atUq38fZnft0zMHIZrZk\nQKosEhSGSI7NQ33ooYeAYI4aBEuYJDtX1cq9+6WnjUX4V69e7drsd3EmKZIjIiIiIiKhooscERER\nEREJlVKRVOPPRWhrhQPyuu6664DEpf5sVWYofEjT+GVvbULf5ZdfHvM4S98aMWKEa0tUbtmk8k+T\n7Ngly0pfjxkzBoAyZcrEPMYKLDRv3ty1FfeE20yPna3+6/87x5tomwq/PKmlYaVTpseuKO2zzz5u\n20oC2xhaCVaAQw45BIC1a9cmdfxkxy7VcStfvjwA7777rmvbf//9Yx5nKXzz588HgpQZCNLbkjV0\n6FAg9cm98WTLOeenV/ipuPmxZQG6devm2mzysk0Kr1ixottnqUtWqCAdKdPFMXY2idn/e5qJEycC\n0KNHD9e2efPmqMf45WWfe+65qH3ffvut27aSysuWLcu3L/adYwVZICj5u2TJEtdWkKUksuW8S5WV\n2obodFOI7qeNhT8+hZUtY2cpZpD4t52dI1YsyX+esTQ1ew8XleIcu1q1agHR5djtN5qlcwPMmDED\nCNLE/e9KS7W393HVqlXdPnv/WqEV/zPC0u933nnnlPoeT7Jjp0iOiIiIiIiESigKDxREOiMJFsHx\nyzHGi+AYK1ldkOhNtrOr+3gRHGPRnpJWLrV169Zu2xYQLIo7Vx06dHDbFtWxu1T+3Zq8d1OzmT+R\nsV27dkD0neF0+fzzz922FXCwyfXNmjVz+6wEfLKRnOJiEQB/MqlFVmxyKECFChWA6LtyJm9xBb+g\ngL137b1cUliZX4C5c+cW+HmzZs1y21bC3AoP9OrVy+2zUtU29tdff33qnS1GNmE9XiQn3sLWX331\nVdRjTj755HyPbSWWIXEEx1x44YVA9IKNxi+6URLsu+++me5CVvMLCOTN9IkXAbI2PyJU1FGdombR\nu++//961WQEUP6pq73ErjNGiRQu3b8cdd4w6pi2GDHDqqadG7bP3Z7ZQJEdEREREREIlFJGcvFeZ\n6eTPu6lRowYAF110ERA/emM58FayFdKzsFkm+WVk4y16Z2xRxhdeeKHI+5RNdtppJwCefPJJ1xYv\ngmN3SOyOeZ06dQr92rYoof05bdo0t2/w4MEAfPnll4V+naLmzyex6ENRs7t1FjmaN29esbxuOvn/\ntl27dgXggAMOcG12bho/n9kvq5/X6aefDpS8SE46WI66vf/8Mu/33HMPEHyX5AqLkNj8V38RSuPf\nFbbIjZU698/JvGyRYwjmD1gkNd5d4Xilve28Tmd55mxm7/WWLVvm+xi/hHY65+Jkm3hza8w777yT\n775EZaITHTNX2TkDwRwbf8kTPxMlPxbB8aM3Fn21pVzsPQywatWq1DucJorkiIiIiIhIqOgiR0RE\nREREQiUU6WqWNmalmuPxJzZbGNcmz/vl8PKyCVoQW/oyHlux2cKBuczK1A4YMMC15S2DvHHjRrft\nl8guSSpXrgzA7rvvnvBxNjHcUjfOOOOMfB/rlzO2ko5NmzYFgrK18fgrttu/n1+owJ9Yna1OOOEE\nIDrsXZTpFj/99FORHTsTPvrooyI9vq1sLQXjp4nkOiu2M3LkSNdmqbkNGzZ0bX6Bj6056KCD3HYy\n70X7XAS45JJLgGBpg5IiUTndzz77rBh7kp2sXHQ8BU1Js8clSm/LBf57y9JP/fROKyqy2267AbBi\nxQq3z0qVjx07FohfIOS3334Doos2xCt4U9wUyRERERERkVAJxWKgdgWZKCLjGz9+PBBMyj3mmGOS\ner147A6SRTPSUT4504ttjRo1CogugZqXLQwIiRdjLW7FOXZWGtwfi1S98sorQFB+FoJCBXZHySb/\n+m2JWNlaCBb1SyQT551f0MJK0S5dutS12YTtcePGAelZRNHY58DXX3/t2qw0a7IRpOJaDLSoWVEM\nKwXsF4OwQiS2eFw6ZPqzrihYKW9bABSC7AFbViDvAo6pyMTY2cJ/EESk0/nvYVkZfrTGWFl3fwmH\nRx55JKXXydXzzhYBjjdZfPHixQA0aNCgSPuQjWOXqE8FWQw0nqLoczaOnTnuuOMA+PDDD12b/cZO\nxBb89MvpW5aLFgMVERERERFJk1DMybE7sRMnTgS2ngOdaC5EQdhdJn8xvXRGcDLBynj6d8QKMk5v\nvPFGkfUpV8ycOTOl5/l561Zm3KJCVnrVZznB/usNHDgQCCIhtWvXjnneBx98kFL/ipPNZYMgSuPn\n19t5aaWy/WjWwoULgaB8uz9nyeYgWVvZsmXdPit5aZ8bfkn4MJdcLQgrgR9vQVmLcqUzkpNp22+/\nPRBd1j3Vz3Irn2wZAvEWTi7qeVNFzY802+eLH1Xo3Llzvs/dZpv/7q3ae9K/Mzt69Ggg+Dx84okn\n0tPhkLF5E/Hcf//9xdiT3GFzYiWx6dOnp/Q8i/b7c5NVQlpERERERCTNdJEjIiIiIiKhEop0NRNv\ndW4Lmycqu5uIH0q3CX02wTxMoXQrN+xPUk/E/u5ffPFFUXUpZ8Qrp5jIJ598AsDVV1/t2pJJ/bG0\nLIDhw4cD8PjjjwNw7rnnun02OTXXSiQ/+eSTADRr1sy1WVnpTp06AbDXXnu5fZY++sMPPwDRpWzn\nzJkDQP369YHo1dKtoIOlxviTqeU/dm77pePzlpHPVVbgAuCCCy4AolPLLNXRlg7wC9tYWmi8yd07\n7LADEP875+CDDwaCz4AwsPSogqZJ7bHHHkDwff3LL7+4ffbeF0nFkUceCUSXMU6GpYTbcaTgVq9e\nDcDs2bNd2/777w8U/t+lMBTJERERERGRUAlFCelEbOHFa665xrXZ3WDjTzC18tImk3eZirPMoE3I\n9v/+J510UszjrByqFSXwFwPNJsU5dttuuy0QPRn3+uuvB6IX27KSpy+99BKQ3jLI6ZSN5S0tqnPh\nhRcC0WXfLUoTr4ysLaA6f/58IIh4AaxcuRIIIrTpEJYS0sYihVbgAoL3/qRJk9L2Opk45/wFLYti\n8WYriGGlpCGIqiZauDpZ2fh+zRW5Nnb2e8YK/liJXghKa9v39jvvvFOkfcnmsbPy0H6xgbyLevrj\nY23FteBnNo9dYVnxEIBzzjkHgMsuuwyAe++9t9DHVwlpEREREREp0XSRIyIiIiIioRL6dLVcFuaQ\nZlHT2KVOY5e6sKWrFZdMnHO2sjdAy5YtATjssMNcm61H1aVLFyC68IClZNStWxeITlW19Z1uvPFG\nIDrluSjo/Zq6XBs7S/u54447YvbZ2laWvlvUcm3sskmYx65bt25u++mnnwaCNejSsYaT0tVERERE\nRKREUyQni4X5ar+oaexSp7FLnSI5qdE5lzqNXepybewSRXLee+89IJhgX9RybeyySUkZuyFDhgBB\nIaZ0UCRHRERERERKNEVyslhJudovChq71GnsUqdITmp0zqVOY5e6XBu7Ro0aATBt2jQAdt99d7fP\nFledMmVKsfQl18Yum2jsUqdIjoiIiIiIlGi6yBERERERkVApnekOiIiIiEhiCxYsAGDw4MEATJgw\nIZPdEcl6iuSIiIiIiEioZGXhARERERERkVQpkiMiIiIiIqGiixwREREREQkVXeSIiIiIiEio6CJH\nRERERERCRRc5IiIiIiISKrrIERERERGRUNFFjoiIiIiIhIouckREREREJFR0kSMiIiIiIqGiixwR\nEREREQkVXeSIiIiIiEio6CJHRERERERCRRc5IiIiIiISKqUz3YF4SpUqlekuZIVIJJL0czR2/9HY\npU5jl7pkx07j9h+dc6nT2KVOY5c6jV3qNHapS3bsFMkREREREZFQ0UWOiIiIiIiEii5yREREREQk\nVHSRIyIiIiIioaKLHBERERERCZWsrK4mIiIi4bfbbru57Y8++giAzZs3A7Dffvu5fcuWLSvejolI\nzlMkR0REREREQkWRnCS0a9cOgOnTpwPw4Ycfun033nhj1D6RrWnQoIHbPv300wE46qijAKhVq5bb\n17BhQyB+ffi1a9dGPc/uhIqkU+nSwVfFeeedF7Vv9OjRbtvuwIsU1IUXXui2q1atCsDYsWMB+P33\n3wt0jG22+e9+rb+WyJYtW9LVRQmROnXqANC6dWvXdtJJJwFw6qmnxjx+6dKlAJQvXx6AatWquX1T\np04FoHv37q7tr7/+SnOPpTAUyRERERERkVDRRY6IiIiIiIRKqUi8HJgM80PO2cTS1V555ZWYfRs2\nbABgypQpACxevNjte+yxxwD46aefknq9VP5psnXsElm/fj0Aq1evBuDAAw90+3799deUjpnNY2dp\njnvvvbdr89OBUmGpGX/88Ydr22mnnVI6VjaPnalcubLb7tKlCwAnnngiAJ07d07qWJMmTQLg3HPP\ndW12TiYr2bErrnFr1KhRTNuCBQsK/PwWLVq47dmzZ0ftGzp0qNu2tN1k5cI5l61ydexq1qwJwM8/\n/+zaLO3snHPOAeDJJ58s0LEsvdf/zPv000+3+rxcHbtskAtjZ6lpAKNGjQJg//33B6B69eox/SrI\n38n/O9jj7VwG+O2337Z6jFwYu2yV7NgpkiMiIiIiIqGiSM5WNGvWzG3bXcpOnTrFPC7RnQCLRnTo\n0MG1lfS7TH379nXbDzzwABDcxfPHfP78+SkdP1vG7rTTTnPbdiepQoUKQPD3Bfjll18AePbZZwF4\n6qmn3L7vvvsu3+OfffbZANx///0x+y6//HIA7rnnnqT6nC1j56tYsSIQFGjo16+f22fnS2E/ytq2\nbeu233rrrZSOkW2RHLsjfttttwHwf//3f26ff25uzZIlS9z2LrvsErXPjwjttddeKfUzG885Y39f\ni/hBMFn+q6++KpY+JJLNYxdP06ZNgeBc9KMvs2bNAuD4448HgsIqRSXXxi6bZPPY7bzzzkD053jj\nxo2jHvPuu++67XfeeQeA559/HgiKDcRTpUoVt22foXfeeadr+/vvv7fav2weu2ynSI6IiIiIiJRo\nKiGdh91lOuyww4DofPMdd9wxpWNavqbdhYaCRXLCyObb3Hvvva7NIhqWm71q1ari71ia9ejRA4Ah\nQ4a4NotGTJ48GYAPPvjA7bN5W3/++WdSrzNhwgQguLPs30nfbrvtku12Vrn77rvdtt3Z3WOPPbb6\nvAOJijQAACAASURBVG+//dZtv/fee0AQTfXLe956661p6We2Of/88932ww8/DAR3v0444QS3zz6X\nEs17O+CAAwCoUaOGa8t7J83mRIWN3bGdMWMGAHvuuafbZ+dhQSI522+/vdv2o7f58c/RLEy0SMmu\nu+7qtu3zzyI4/mdez549gaKP4OQSi/xDUOL48ccfB6LPD/sOse+CTZs2FVcXs86ZZ54JREdvbDws\nI+ehhx5y+5L53vXn3Pjf72Fh55v/e9W+N+w3zDHHHJPv8y0bBYLvcPsezgRFckREREREJFR0kSMi\nIiIiIqGidDWCFDWAN954Awgmm4YlXSBbWNpRmTJlYvY9+uijACxbtqxY+5QuFiIHGDlyJBBd6tjC\nuFdeeSUQFBsojDVr1gAwc+ZMIPWJ39nEJosefvjh+T7mzTffdNs33XQTAJ988gkQvdK5lXY3fppk\n2HTr1g0IUtQgSI/6999/kzrWfvvtB8CIESOA+JNex4wZA8A333yTfGdzgH0H2PeDXwRl+vTpQPTq\n58ZWP7clAx588EG3L1FZdxtj/9/v0ksvBWLP41xhKd4DBw50bX7aHwSrzQMsWrSoeDqWA8qWLQsE\nqWkQFC+yc8RPI7US+FdffTUQjrTvVA0ePDim7eKLLwaCtD6JTmm33y/Dhg0Dos8tW97jtddeA6IL\nHdl3haXunnXWWW7fwQcfDATpvRs3bkzvX6AAFMkREREREZFQKZGRHIsi2BXrFVdcEfMYuwM6fvx4\n1zZ16lQguOPm79t2222B+HdM//nnHyC4K1oSWSlbu5viW7lyJRB9BzOX2N/tkUcecW0//PADAEcd\ndZRrszvBJXlCaEGUK1cupm3dunVAMNHTnzTqT9TOz6GHHgpET6Y08+bNA7KjHHBh2J03P/psn0c2\nkdvOVUhccMCiaFaAxT+mHcuilWE1YMCAqP/3F/yzz/5TTjklba+3fPlyILpEd7IRuGxjZez79+8f\ns89K6lsUuiTzI4K33HILAB9//DEAXbt2dfssam2fg34Z+I4dOxZ5P3OFfdfa5z7oPIvHX8rDigR8\n9NFHAFx00UVun5V79xcbz49fTtsiuVbs4Zprrilch1OgSI6IiIiIiISKLnJERERERCRUSky6WoMG\nDdz2XXfdBQST4OMVF7BV4v21OhYvXhz3MZC4UIFNPPXrq5cEpUsHp5elBsabeHveeecBuTs+VlzA\nXwPD/s2Lej2k8uXLA7D77rsD0ast5+oES1vnpkWLFq7NJnrfcccdSR2rZcuWQJBqWrVqVbfP0kgt\nzWPFihUp9jhzmjVr5rYTrdnw5JNPAsE4xOOnzFxwwQVbPZY/ET8s/M8sWxPC+OeOpanZObN+/fp8\njzl69Gi3naioiq15ZamZuax169ZA/PRkSw/t168fkPspeengr9NyxBFHAMEEbr9wxfDhw6OeZ2s4\nSbTnn38egEMOOcS1WTECW8Munjp16gDR3wW5WvQjkSZNmgBw++23uzY7B4877jggmEaQrAULFrht\nW3OnU6dOKR0rHRTJERERERGRUCkVycIayfHKlaaqXr16QDBxCqBu3bpRj/En4NqdpxdeeGGrx166\ndKnbzhvJ8cs3Whm9vJGgrUnlnyadY1dYdscXgrKqxiZQAgwdOhSAzZs3p+21i3PsqlevDkSXXLRo\nRFEXGTj66KMBeP3114HolcJt0l+yMn3eWeEBv4T0rFmzAKhfvz4QlFKF4M7nvvvuG3MsW23e7ij5\n5aXPPvtsACZNmpSuric9dqmO2w477ADAyy+/7Nrs7rnPPtsOOOAAIHG0yo/85b3b6X9GFuRYycr0\nOWf8CNYDDzwABBGr7777zu378ssvgaBYypIlS9Lel4LKlrHzC4bY+7V58+ZAUBYegu+CTI6ZyZax\n84tNWMGBhQsXAtGry+f9PrHvHggKV+y8885A0ZeQzpaxi8fGYM6cOa7NfvdZ8RU/Mmslju3cbNSo\nkdtXFBkmmR47y/z47LPPXNtzzz0HJI50xWO/M5555hkAXnnlFbevKIrTJDt2iuSIiIiIiEiohH5O\nznXXXQfAbrvt5trsStAWFBw0aJDbZ3dRErGr4Hilbs3TTz/ttpON4OQ6W5CyS5cuMfs+//xzILqc\ndjojOJlguaup5rAmq1atWm7b8vjtDp9/Lucqmyvjz1+wqGDnzp1jHm93uApyh+fHH39023Pnzi1U\nPzPJFlD0c87jsVzoRFEXy8/u2bPnVo+ztWPlOn+Ok7G89bFjxxZ3d3LK5MmT3bZFcOxzyf8+LEgE\nx+ZD+SW67bPNIub+IqJvv/12ir3ODn5pdytVblHFgmYDZFMWR6bZZ9Ts2bNdm/0GfOKJJ2Ieb2M3\nZcoUIHqOVBjZQsW2yCcE83ttORQ/6yGvxo0bu22bL2tZUxYVg+xYZkCRHBERERERCRVd5IiIiIiI\nSKiEMl3N0tAgWLHbZxOjbDVmf0JpQViKSKVKlWL22arpYUgbSpZNnrRJp34JVkslstBmQVapl2iW\nSnPZZZe5Niv7a6tkP/TQQ8XfsTSzkuL333+/aytTpkxajm2pphB8Dlh6ZS659tprgfgpen6RAFu9\nOhErt5roWAU5ThjY5G2flfKdNm2aa/v999+LrU/ZztJnrVy7z97DY8aMyff5fpqVFQ+xYiANGzbM\n93l+KkyrVq2AINU11/hLXNgyAMn+LsnCGlIZY0UFCno+WKGpc889Fwhn2WifTRF48cUXXZt971pq\nqRVegSCFsk+fPkB0USC/7D4Ev/+yhSI5IiIiIiISKqGI5NhdXltw0krK+vzJ/7b4X6qsLK1/B8oW\ngrTJWhs3bizUa+QKfwFBuxsSr3TxuHHjALj66quLp2MhYuebLT7rn99WKMNK2eYqu1MEwaJtyUZv\nXnrpJQB++OEH12Zlle1u03777ef2WZlQi4Jdc801yXY7Y+wOt3/39pdffgHghBNOKNAxTj/99HyP\nZay8e0FZqW67KwjBJHRbWNkvW5pt/MXxbKKyTQq3Ih8AAwcOBIJCKiWNTU6G4H3jlzO2SJe9txLx\nF6jN+93sTxK3wi4DBgwAokvGW9aAf+fePidzoSiBld+FYDkAywqRgrMIjv2bN23atEDPs+9RfzHt\nksAW5IXg/XTiiScC0K1bN7dvzZo1QPCb139PHXXUUUDwGzjbspgUyRERERERkVAJRSSnTZs2QDDH\nxr8jaQs5+YsHpsoW4LvkkktiXufff/+NaSsJ/DsBtuip8e+oWylvKRiL3kBsBMfPFx4yZAiQHQvr\npYvdLfIjpVZG1aIV/h1ei+B8+umn+R7TIkWvvvqqa9t7772B4M7TG2+84fb5ixfmivfffx8IFq/c\nGpvXE48tMjp69Oh8H2ORoOOPP9612V09f3FDY+W/U12ktjj4kQBbGPq1114D4L777nP7Zs6cCQTf\nObaQHpSM+Tr2XQhBqWP/u69///5A/AUpLQp0/fXXA9HRm3nz5gFBBNGiGgDt2rUDgkiOv/SAff/6\nLEKZC5EcO8ekcCwLwCI4/jlpkTGbS127dm237/zzzwdg1KhRQNEsAJrtbJ6NLaTqL4j63nvvRT3W\nz4iwBVeXLl0a9We2UCRHRERERERCRRc5IiIiIiISKjmbrla2bFm3bZNA47F0nnRM4rMylfHKWlqh\nAT+lIcxsVdtevXrF7LM0gjPOOMO1+YUfJH95iwxAMPHZyvj6E+RnzJhRjL0rOn7ZYyvZW6VKFde2\ndu1aIPXUEzv+rbfe6tqsVGYuppjGW93cJv376WBWqt0mZp922mluX5MmTfI9lq1obRPx/bLlicbL\njhXvMbm2Ivv69esBmDx5MhCdvmFpuo8++igAP/74o9sXlvdkIvGKdPipaVZoxtSoUcNtW4qfpZ1Z\n6h9Ap06dop7np0Nbmrix1CKIXrldSpa2bdu6bUsxNX7pe0ur3WmnnQC44447Yvb17t0bgOHDh7t9\n8VIhw2zFihVRf8bjpzrbb/HZs2cD2TdeiuSIiIiIiEio5Gwkx0rDQjDZ1Xz//fduO+8dpcJItGig\nlUdNtOhZGNik0XvvvReInrxn5bMvvfRSIJgILVuXN4Jj0RsIigpY8Yaw3ynOO8lRYlkEwY+k2t1I\nmwgKwYKCttigH4XOG23x/98eH6/ISkEiXxZ5g2BSvh+dzEV+OW0rg21l86+44gq375NPPgHiT7oP\nC38xQPPtt9/GtNn3xZVXXunaLCpo5be7dOni9ln03yKOtvA2BNkSU6ZMARJncEBQFrikyLVIaWFt\nt912QHRU0c43K1Bj5ZAheD/an/Y7BYKJ9DfddBMQvfBvNpe8z5R4v4WzNYtJkRwREREREQmVnI3k\nHHfccfnu6969u9v+888/C/U6PXr0cNuJFjbzS9OGmS3s55eNNXPnzgXggQceKNY+ZaO6desCwQJZ\nPssb9svs2vbRRx8NRJeEtpzjBQsWFE1nSxCbt5Lr7O7lscce69osqupHa2weSTrnHdmd0Hhlti2i\n7UdyClrSOpe8+eabAMyaNQuI/new8rXvvvtu8XesmPgLo7Zo0SLqTwjukts56c/pMraQ9PPPP+/a\n/MgNBJFICEpOT5w4sUB99OdjlAS5OLewMGzuYbyoos0PSVQKetGiRW7byuHbnE///E6UwVPS9O3b\nFwjmZENQMj9bF69VJEdEREREREJFFzkiIiIiIhIqOZuu5k9kzFuybt26dYU+vk38jrfit62Kfcop\np7i2d955p9CvmQtuuOGGqP+3MqsQPYG0JLHyvMccc4xre+qpp4DU06Nq1arltu+//34ARowYAURP\nhFy+fHnU82y1YgjSK21yNMBLL72UUn/SrWbNmkB06eiiZCu0+5NNjX1e+ClW2c5Sxh566CHXNmzY\nsLQd39I1li1bBkQXDbAJ4IlKjIZdvXr1ANh3330z25EMGTt2rNseOXIkEEwEB7jrrru2egz7jPM/\n69544w0g+J754osv3L6///67ED2WsIpXcCHZ4jWWamUpbFZCH4LfeVbwoiQ799xzAShTpoxre/zx\nx4FguYJso0iOiIiIiIiESs5GcvzoTd4Jd8kuRnTooYe67fPPPx8IFiT0j21XqlaMYPr06Um9Tq7y\nI1b+wlsADz74oNvOG1UIO1u4zsrH+mXNC2LTpk1u2wpkWHloPypmxQjsTz/iMH78eCCI0PgToD/8\n8EMAli5dmlS/ioq/+JqdU9b/wYMHF8lrlitXDoAnnngCiD+J1N7HNl655LbbbnPbU6dOBeCEE05w\nbRbBssh3vMiilf71F2JUkYtY/uK0VmDBoriPPfaY2zdv3rzi7VgG/PHHH277zDPPBKJLOieKcD3z\nzDMAfP3110B0FoS9B3MpqppJBx10UKa7kHHxCi7svvvuSR2jUqVKAFSvXj3fY5ZkliHiFxwwtpxI\ntlIkR0REREREQiVnIzl+fuTJJ58cta9///5xH5eXPa9ly5auzcp/mi+//NJt20JR/hyHMKtatSoQ\nnetvd8btbpyV9SwpypYt67atlKmfn1oQllt+1VVXuTZ/bgXARRdd5LaHDx8OBAuG2t15gD59+gBB\ndNH+XQAefvjhpPpV1FavXu2269SpAwRj4Jfavvbaa4FgcdmCsnPTv4ts52f79u1jHm93o/0y8bnM\noi9+FMbK9NqioeXLl495nkqkJla5cmUAJk+e7NosqmrzkmxeCkTPUwwr/71p87dseQEI3oP2GTRg\nwAC3z8ZHd8sLb++99850FzLGMnY2bNjg2uz7uV+/fkD0b7vXX3896vnNmjVz27agvL3X/XPTP35J\nZXMyLZrtj2WiMt3ZQJEcEREREREJFV3kiIiIiIhIqORsupo/UXn//fcHoH79+kBQ5s7f9ssMFiRM\n/vTTTwMwatQo12ar6JYUTZo0AYJV0yEYO0uLSke57lzip2T4KVb5+X/27jxuqvH/4/grWcqeLSSS\nLBGypKIoEomS7JE1ZCsRkiWSiCTZEyJ8kV1K5JctO4WQiiL7Vva1fn94fK5znbnnnmbOPcuZM+/n\nP45zzXLdV2fOzDmfz/W5rNwuBJOVrbxqpjDv9ddf77YtTeboo48GgtC6b8CAAQBMnz59qX0qFUu7\nA1h77bUB6NOnDxCetNy0aVMgXDDBL3CRyl7DSnhbKlw6/oTpLl26AMlOL7Lzn1+m16i4QGY2Gfmh\nhx4CoH379q7tu+++A6Br165AfFf7LoYdd9wRCFKEIEhDtTQX/zwo+eOXSk5XSjnJ7DM4bNgwt8+K\nAFlqd8uWLV2bv53Kxs5+3/hFcuKy7EIp1a9fP/T/ftEtW1IlrhTJERERERGRRKm1JIaz/3K9I9Gk\nSRMgKP/sTyS2koCZIjljx45125MmTQLCE7hLJco/TT7v5lgU64QTTnD7bMJpp06dgGDxtrgpxthZ\n9MQiOn45TyuP6pf4XbhwYc59KoVijN36668PBBOT/bLHUd87U78nTJgABP9mADNnzoz8ntXJdewK\nffd10KBBQHBn02d32RcsWFDQPmSjFOc6f/FKm4Tsl4m2Ahi77bYbEBxDAIMHDwbgtddeq1Ef8qHU\n3xPlrNzHzn7fQLCEg5X7tQWDCyWOY2clji366heSsoi9ZQj45ZDtu9mKaPjfE4VY5DKOY5fKCvlA\n8F1p2VJ+sZoPP/ywqP3KdewUyRERERERkUTRRY6IiIiIiCRKItLVkqrUIc3evXsD6Sd924Tm22+/\nPW/vl0+lHrtyVsyxq127NhBOibzggguAqpMdl/bejz32GACffPKJa7MCDl999RVQmNQDX9zS1cpF\nKT6v/npTVgTELyay7LL/1eWxNDVLXwOYMWNGjd47n3Sui67cxy5dutoOO+wAFL4ITbmPXSmVw9j5\n6XyzZ88GgnXB/DTAQqdFplK6moiIiIiIVDRFcmKsHK7240pjF53GLjpFcqIpxTFnq6MDXHrppUB4\nQu2zzz4LwIgRI4BghfW40ec1unIfu7p167ptW4X+77//BsJLacybNy/v713uY1dK5TB2/jItVmjF\nCir5kZxiUyRHREREREQqWtkuBioiIhLVn3/+6bb79+9fwp6IROMvZGyLsT755JNAMKdMJAp/MW5T\njgujKpIjIiIiIiKJooscERERERFJFBUeiLFymJwWVxq76DR20anwQDQ65qLT2EWnsYtOYxedxi46\nFR4QEREREZGKFstIjoiIiIiISFSK5IiIiIiISKLoIkdERERERBJFFzkiIiIiIpIousgREREREZFE\n0UWOiIiIiIgkii5yREREREQkUXSRIyIiIiIiiaKLHBERERERSRRd5IiIiIiISKLoIkdERERERBJF\nFzkiIiIiIpIousgREREREZFEWbbUHUinVq1ape5CLCxZsiTn52js/qOxi05jF12uY6dx+4+Oueg0\ndtFp7KLT2EWnsYsu17FTJEdERERERBJFFzkiIiIiIpIousgREREREZFE0UWOiIiIiIgkSiwLD4iI\niEj8NWvWDID99tvP7evduzcADRo0AGDkyJGurV+/fkXsnYhUMkVyREREREQkUWotiVLLrsBUKu8/\nKjMYncYuOo1ddEktIX399de77ZNOOgmAyy67DIALLrigxq+vYy66Uo/dTjvtBECPHj2qtHXt2hWA\n5ZZbzu3bfffdAZg1a1be+hBVqceunGnsotPYRacS0iIiIiIiUtEUyUmx7bbbAnDiiSeG/utbZpn/\nrg0XL17s9l1++eUADBw4MG99SeLVfqNGjQD45JNP3L5jjz0WgNtvvz1v7xPnsVt33XUB6NSpk9tn\n27/++isA3377bZV+PfnkkwBMmzbNtf35559571+cx26FFVYAoF69em7fjjvuCARjaJEGgPnz5wPQ\nsWNHAObMmVPQ/iU1kvPvv/+6bfsbv/zySwB23nln1/bZZ59Fev04H3PpNG/eHIArrrgCCI4vgEmT\nJgGwww47ADB+/HjX9vjjjwPwzz//APD333+7tqlTp0bqS5zHbvLkyUAQvQE45phjALjrrruK0odM\n4jx2cVduY3fEEUcAcP755wPw5ptvurZTTjkFgIULFxalL+U2dnGiSI6IiIiIiFQ0XeSIiIiIiEii\nVGS62tprrw3A6NGjAWjatKlrW3311QFYc801q32+9c8fOks7+PTTTwHo1q2ba3v//fcj9TOJIc06\ndeoA8OKLL7p9PXv2BKKPUzpxGTv/ONh///2BIGyebR9Tj7dnn33WtR133HFA9DShdOIydj5L/Rk6\ndCgQTn9J7UO6/o8bNw6Ao48+ukA9pNr3ziTun1dLL507d67bl/o3WuoWwHvvvRfpfeJ4zGVy5513\nAukn22fDPq9+2m779u0jvVYcx26dddYB4KmnngKC4wiC8+Bzzz1X0D5kI45jVy7KYexuvPFGt33C\nCScA6fttx+eCBQuK0q9yGLu4UrqaiIiIiIhUtIpZDNQiNAB33HEHAHvttVeVx2W6G5yJlcjcZJNN\nADj77LNdW69evYDwJNNKs+yy/x1q999/PxCOnn388ccl6VMhWXndk08+2e1beeWVl/o8m8ztRxJt\nsr3xoxh2Fz2fkZy48CMEjzzyCADrrbdepNfaY489gHDBgh9//LEGvasMBx54YLVtdqwuWrSoWN0p\nKf9O6syZM0NtfhEav0gDwC+//OK2rbiKRYCmTJmS937GgUWwt956awA++OAD1xaHCI4kk31v3nzz\nzQDss88+WT3PyuAPHz4cgI8++qgAvZNSUCRHREREREQSJfGRHLv79vDDD7t9bdu2rdFrPv/880A4\nGrHWWmuFHnPkkUe6bbuLNWzYMLcvhlOhCsqiZvvuuy8AzzzzjGv766+/StKnfPPn31gEJ1305vjj\njwfg9ddfr9Jmd8VXWWUVt69z585AMB/F1717dyAoTZskls8PmefIZcMiQHanDoLS5RKNzb9JYhTR\nZ8ee//m2MrSDBg0CYMKECa7trbfeWupr9u/fP489jAc/SnrqqaeWsCelY3NyGzRoUO1jzjrrrJxe\nM9PxpKhY2KabbgoE877SsQi0P642t/Wggw4CYMSIEa5t8ODBee9nuWvZsqXbtuychg0bAvDQQw+5\nNvuNc9111wHBEhnFpEiOiIiIiIgkii5yREREREQkURKZruYXGbA0tagpamPGjHHbJ554Yqhtyy23\ndNuWLrTRRhtVeY0hQ4YAMH36dLfPT8VJqtq1a7vtCy+8MNT24IMPum1/0m45snKpVlYWoG7dukB4\ntfPTTz8dgG+++San1//hhx+A9OlqSXTbbbcB4RTQTOmdb7zxBhCExnv37l3tY61cOShdLRfLLBPc\nD7PP69VXX12q7hSVpcBYSgsE6RdKZQlYqg+EU7krgRUXql+/PpD5fHXVVVe57WzS1v0Un9THpyv6\nka540qhRowCYP38+ADNmzHBt5T7J3tKkICgqZWPgp5F26dKl2tewJQrsu2Tvvfd2bfqMQ5s2bYDg\nN44/5v7vPIADDjigyrb9e1x++eUF7Wc6iuSIiIiIiEiiJDKS498BjhrBsUWkzjnnnGof4y9eaSVB\n/UUuU/l34j/88EMguLOSRFa2F6BFixZAUEb7zTffLEmfCsHutNm/KcD2228PBKWkIfcIjjnzzDOB\n9IuBJXHiaadOnYBw9MCKU3z//fcAnHvuua7Nj6BB+C6llRKVaOxc6kdbK61oih1P/pIDP/30U6m6\nE1t9+vSpts2P3CeRFZixu9o///yza8t1gdzNNtss9Bobb7yxa7PP3rx584DwIqsmXSQn9Q66X/yg\n3CM5ffv2ddtNmjQBgr/dX8IhEytGYOe5cs8uyQf/t69loURdwiE12lNMiuSIiIiIiEii6CJHRERE\nREQSJZHpaieddFJOj//222/d9jHHHAMEa+H89ttvWb3Gu+++CwSTpv1Jqmabbbap8j62zkIS+RMs\nzRVXXAEEE/ySwNLVrMAEBIUWsj1+MrGUIQvB+yuov/DCCzV+/bg57bTTABg4cKDbd8899wBw5ZVX\nLvX5lsoByU2tsrWW/M+RX9gkX/xCDZXAJo5DkJqxcOFCIHxcSXb+/fdfIP2aYLmqU6cOAH/88UeN\nX6vQ/LT1/fbbL6fntmrVCoDvvvsOgObNm1d5jH3W07Xdd999Ob1fEj377LNA9ini/toulcrOd7aG\n4SabbOLall9++dBjLW0cgnXS0h2LcaBIjoiIiIiIJEoiIznZlq+0CI4/ofSdd96J9J52N/+EE04A\n0kdyfKkrZidJx44dAdhqq63cPis48Oijj5akT8XwyCOPpN2Owp8YanfTLSpx7733urY5c+bU6H3i\nyMpu++W3M2nXrh0QFLo4+uijq31suRf6WH/99YHg/GF3twHWXXfdvL1P48aNq7x+km2wwQZAUCAF\nguPP7qhvvvnmrs2iOxIUWVl77bWrtFmBGb+Ubzbse3G55ZZz+3bddVcgyLJYsGCBa7NCQaViBWDs\nvF2TaMorr7wS+v9M53i/rWvXrpHfM2nsPL/CCiu4fVa8xsp92zkUgnOnZUn4hW2SbMUVV3Tb9tss\n3e9ni8geeuihQDhSefvtt1f7+va7uJSFRxTJERERERGRRElUJMdKNPsLOWVi82KiRm8yOeOMM9z2\niBEj8v76cWZ3s/ySx3a1n6TS0YXUr1+/Kvus1OfZZ59d7O7Ejl/e8uKLLwaCu76Z5uGU+8JuzZo1\nA4LIg8/mA+ZjkVMrGbrqqqtWabMI+CeffFLj94mL7bbbDggW+YTg7mW9evWAYN4lBDnqVl7aL+Vu\n88bsznHS2R3gNddcs0qbRV3SsYi/LcQIQcn9TCV8d9555yr7bMHWdOfNYnjrrbdC/y0Fi3RZ6f10\nY2hlqd9+++3idayI7DeHnQP9c2G60trmiy++AGD//fcHkv87xRYrnzp1qtu34447hh5jZbUBDjvs\nMCCIHPrz3jP93rbfff7yGsWmSI6IiIiIiCSKLnJERERERCRREpWudsABBwBLLxtr6RZ+6eh86GgQ\nYQAAIABJREFU8/uQ1DK2qSzcaRPB/XSN1FXpJT1bmdrKRkNQhtqKWviraVcaW+H71FNPdfuWXTb7\n01j37t3d9h133JGvbhVN27ZtgXAqqNltt93y9j72Gbb3sRQYCCZVJ6noxeOPPw7AxIkT3b4999wT\nCNJ+/LKp++yzDwAXXXQREBS9gCANa9y4cQCMHj26UN2OBft+S/c999RTTwFByh8E5XqtVLJfXMDG\nOt1r3X333QCsvPLKQHiivZ0P/OO0b9++uf4pZcefOG4pe5nG8MwzzwTC6ZXlrnPnzm47m99a6R5j\n6XuWBv3EE0+4NksTt8f8+eef0TsbE5bamJqiBjB27Fgg+LxBUD5/5syZAKy22mrVvralTUO4gFIq\n+xy3bNnS7ZsyZcrSup4zRXJERERERCRREhHJWX311YHwHaFMbAG9QkwuszKadte9kpx33nlAcGf9\ngQcecG3Tpk0rSZ/KRbdu3QDo379/lTYbR79sY6Xz79imRhsyTVq2O/AQ3L3PdbG+UrISx+nuRl5y\nySV5e5/Uu/N+yeRrrrkmb+8TN//884/b9qM6qWwirRVfsDvkAG3atAFgiy22AKBLly6urZyOtXyw\n70O/HLxFI9OxiL8VE/GzAWxhx9q1awOw7bbbujaLLvbo0cPtu+mmm4DSTnouNL/Yg39uS/Xee+8B\nNV/aIE5sMrxFsCA4X9lioK1bt3ZtftQLgggNQJMmTYDgO8SygnxjxowBYPjw4Wlfo5z456RUVtzG\nL/tsC/BmiuBY5McvSuCfT1PZb5011ljD7VMkR0REREREZCkSEck58sgjAdhwww2zerzlBOeT3bGy\nHOQtt9zStSV5Ts5GG23kti2H3ZR7ud5C80unXnvttUBwrFheLCx9YdlKYrnBfqTUFm6zHF//82aL\nWlqbb/fddwdgl112AeCll17Kf4fzwP4GCBZeTMc/Zqpjc5ogGEvb5x+PG2+8ceh5v//+e5XnVTJb\nNPCuu+4CwotdnnzyyQD07t0bgE6dOrm2fffdFwjn/JcjP2KyzjrrVPu4kSNHAukXCn3ttdeAYCkH\ngFmzZi31ve3u8OzZs90+K3e70047uX3t27cHkhnJsUUus80YueGGG4DwvLJy5y/maayEt33O/EiX\nRQBNurmtlhVgkR2ACy64AAi+h/2IkP32LDdWHj8d/3vArLLKKtU+3jI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cAAAg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\n/wGjgMWJk2e4ogAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53133edbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# takes 5-10 seconds to execute this\n",
    "show_MNIST(test_lbl, test_img)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's have a look at the average of all the images of training and testing data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average of all images in training dataset.\n",
      "Digit 0 : 5923 images.\n",
      "Digit 1 : 6742 images.\n",
      "Digit 2 : 5958 images.\n",
      "Digit 3 : 6131 images.\n",
      "Digit 4 : 5842 images.\n",
      "Digit 5 : 5421 images.\n",
      "Digit 6 : 5918 images.\n",
      "Digit 7 : 6265 images.\n",
      "Digit 8 : 5851 images.\n",
      "Digit 9 : 5949 images.\n"
     ]
    },
    {
     "data": {
      "image/png": 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EmBfUFMR+K/Taaawu5aKWp5qaGgBpmcuRI0dWzjGumO9XnaQVlLLQ8ry09NLq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\npfUISK1KXOXrap/Wt1gJWa5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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5316873630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average of all images in testing dataset.\n",
      "Digit 0 : 980 images.\n",
      "Digit 1 : 1135 images.\n",
      "Digit 2 : 1032 images.\n",
      "Digit 3 : 1010 images.\n",
      "Digit 4 : 982 images.\n",
      "Digit 5 : 892 images.\n",
      "Digit 6 : 958 images.\n",
      "Digit 7 : 1028 images.\n",
      "Digit 8 : 974 images.\n",
      "Digit 9 : 1009 images.\n"
     ]
    },
    {
     "data": {
      "image/png": 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GU9N7AwCvvPIKgNTLoyv0sNytxhKHVlG1fIYbNgJ1yxLm2XuhhKtvjbFk6Vpa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\nxxhjjDHGGFMq/h+V5nVldnlnJQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5314187400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Average of all images in training dataset.\")\n",
    "show_ave_MNIST(train_lbl, train_img)\n",
    "\n",
    "print(\"Average of all images in testing dataset.\")\n",
    "show_ave_MNIST(test_lbl, test_img)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing\n",
    "\n",
    "Now, let us convert this raw data into `DataSet.examples` to run our algorithms defined in `learning.py`. Every image is represented by 784 numbers (28x28 pixels) and we append them with its label or class to make them work with our implementations in learning module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(60000, 784) (60000,)\n",
      "(60000, 785)\n"
     ]
    }
   ],
   "source": [
    "print(train_img.shape, train_lbl.shape)\n",
    "temp_train_lbl = train_lbl.reshape((60000,1))\n",
    "training_examples = np.hstack((train_img, temp_train_lbl))\n",
    "print(training_examples.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we will initialize a DataSet with our training examples, so we can use it in our algorithms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# takes ~10 seconds to execute this\n",
    "MNIST_DataSet = DataSet(examples=training_examples, distance=manhattan_distance)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Moving forward we can use `MNIST_DataSet` to test our algorithms."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plurality Learner\n",
    "\n",
    "The Plurality Learner always returns the class with the most training samples. In this case, `1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "pL = PluralityLearner(MNIST_DataSet)\n",
    "print(pL(177))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual class of test image: 8\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f5313b6d320>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53114917f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "print(\"Actual class of test image:\", test_lbl[177])\n",
    "plt.imshow(test_img[177].reshape((28,28)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is obvious that this Learner is not very efficient. In fact, it will guess correctly in only 1135/10000 of the samples, roughly 10%. It is very fast though, so it might have its use as a quick first guess."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Naive-Bayes\n",
    "\n",
    "The Naive-Bayes classifier is an improvement over the Plurality Learner. It is much more accurate, but a lot slower."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "# takes ~45 Secs. to execute this\n",
    "\n",
    "nBD = NaiveBayesLearner(MNIST_DataSet, continuous=False)\n",
    "print(nBD(test_img[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### k-Nearest Neighbors\n",
    "\n",
    "We will now try to classify a random image from the dataset using the kNN classifier."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "# takes ~20 Secs. to execute this\n",
    "kNN = NearestNeighborLearner(MNIST_DataSet, k=3)\n",
    "print(kNN(test_img[211]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To make sure that the output we got is correct, let's plot that image along with its label."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual class of test image: 5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f53133da7f0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53116f9eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "print(\"Actual class of test image:\", test_lbl[211])\n",
    "plt.imshow(test_img[211].reshape((28,28)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hurray! We've got it correct. Don't worry if our algorithm predicted a wrong class. With this techinique we have only ~97% accuracy on this dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MNIST FASHION\n",
    "\n",
    "Another dataset in the same format is [MNIST Fashion](https://github.com/zalandoresearch/fashion-mnist/blob/master/README.md). This dataset, instead of digits contains types of apparel (t-shirts, trousers and others). As with the Digits dataset, it is split into training and testing images, with labels from 0 to 9 for each of the ten types of apparel present in the dataset. The below table shows what each label means:\n",
    "\n",
    "| Label | Description |\n",
    "| ----- | ----------- |\n",
    "|   0   | T-shirt/top |\n",
    "|   1   | Trouser     |\n",
    "|   2   | Pullover    |\n",
    "|   3   | Dress       |\n",
    "|   4   | Coat        |\n",
    "|   5   | Sandal      |\n",
    "|   6   | Shirt       |\n",
    "|   7   | Sneaker     |\n",
    "|   8   | Bag         |\n",
    "|   9   | Ankle boot  |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since both the MNIST datasets follow the same format, the code we wrote for loading and visualizing the Digits dataset will work for Fashion too! The only difference is that we have to let the functions know which dataset we're using, with the `fashion` argument. Let's start by loading the training and testing images:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_img, train_lbl, test_img, test_lbl = load_MNIST(fashion=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing Data\n",
    "\n",
    "Let's visualize some random images for each class, both for the training and testing sections:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Zg6zt6HxTg0vGBHl4eKBJkyamf/RwffnyZVPbHDlyoESJEilK35da/P398eDB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\n3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EmSJEmSJEkGiv7yk3kJME12q5T8UpQBnU7pbhKZRaPU15HLWFtxk3jkDsdn+tj7ABN9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\nm3POOSVJTz31VLXtA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GvDNrRa7ndY+q27drTUbrmWHyvAaGmfxgM0yl4oDcsa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\n2Y8+j8ZalJSHz+5+3A9wfd4/XHtbHxBA7uvqhAkTJNXB5EOVV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QV/xwMPOi8D9V1Lxbhy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\niitKkj7xiU9023A5pLSIzymeQGWYxBIUQgghhBBCmCgWhSVoEGg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Ku9aQ/prUvX6PWDNw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\nrEgQAACwIkEAAMCKBAEAACsSBAAArASZCRhw34kEgQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3044a1f898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# takes 5-10 seconds to execute this\n",
    "show_MNIST(train_lbl, train_img, fashion=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1ARoUFIR58+bhgQceQIcOHeK0CEqKFy+OPXv2oHHjxonua7///rvXMhbO99XI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\nM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QqCIAiCIAiCoKcYFUpQbiXwt3Le7N2qxZs91gK3GOVv235sAhWx1LlFgLfoUrrJ0QRK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HmgZ7NMQgVY/njjvuGPG9yUrtN9mY/jVa6rSi2p+1IEkDMrfZZptmm5YrLTmD4P35f+ydd7wt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\n/vGP79rc2jAKuCxikUZePdELml/O39cCIFEA6cal2SVZWBGQjOB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6bI7lx0TrjYXb03Qv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\nAgAAWhEEAQAArfwNjOznsSZ9GjkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f303fe86c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# takes 5-10 seconds to execute this\n",
    "show_MNIST(test_lbl, test_img, fashion=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now see how many times each class appears in the training and testing data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average of all images in training dataset.\n",
      "Apparel 0 : 6000 images.\n",
      "Apparel 1 : 6000 images.\n",
      "Apparel 2 : 6000 images.\n",
      "Apparel 3 : 6000 images.\n",
      "Apparel 4 : 6000 images.\n",
      "Apparel 5 : 6000 images.\n",
      "Apparel 6 : 6000 images.\n",
      "Apparel 7 : 6000 images.\n",
      "Apparel 8 : 6000 images.\n",
      "Apparel 9 : 6000 images.\n"
     ]
    },
    {
     "data": {
      "image/png": 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z5s3D22+/nasJaEhICGbMmIEbb7wRAwYMyNIiyKlduzY2btyILl265LqfHTx4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\nRVEURVEUpVihkyBFURRFURRFUYoV/w8ZNAMQwMn7dwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3040380c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average of all images in testing dataset.\n",
      "Apparel 0 : 1000 images.\n",
      "Apparel 1 : 1000 images.\n",
      "Apparel 2 : 1000 images.\n",
      "Apparel 3 : 1000 images.\n",
      "Apparel 4 : 1000 images.\n",
      "Apparel 5 : 1000 images.\n",
      "Apparel 6 : 1000 images.\n",
      "Apparel 7 : 1000 images.\n",
      "Apparel 8 : 1000 images.\n",
      "Apparel 9 : 1000 images.\n"
     ]
    },
    {
     "data": {
      "image/png": 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8eZg/fz7ef//9dH2AhoSEYMaMGbj//vvRtWvXVD2CnPLly2Pr1q1o2bJlusfZ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\nRVEUJUehH0GKoiiKoiiKouQo/h+cPPujhkVTxgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f303ff16828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Average of all images in training dataset.\")\n",
    "show_ave_MNIST(train_lbl, train_img, fashion=True)\n",
    "\n",
    "print(\"Average of all images in testing dataset.\")\n",
    "show_ave_MNIST(test_lbl, test_img, fashion=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Unlike Digits, in Fashion all items appear the same number of times."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing\n",
    "\n",
    "We will now begin testing our algorithms on Fashion.\n",
    "\n",
    "First, we need to convert the dataset into the `learning`-compatible `Dataset` class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_train_lbl = train_lbl.reshape((60000,1))\n",
    "training_examples = np.hstack((train_img, temp_train_lbl))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# takes ~10 seconds to execute this\n",
    "MNIST_DataSet = DataSet(examples=training_examples, distance=manhattan_distance)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### K-Nearest Neighbors\n",
    "\n",
    "With the dataset in hand, we will first test how the kNN algorithm performs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "# takes ~20 Secs. to execute this\n",
    "kNN = NearestNeighborLearner(MNIST_DataSet, k=3)\n",
    "print(kNN(test_img[211]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The output is 1, which means the item at index 211 is a trouser. Let's see if the prediction is correct:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual class of test image: 1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f30409c0048>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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P3VkkNfvZNhPhtdPKzXOtLK02eO3aacXrOsL/rqSNZvZVM1si6fuS9tXQxxeY2YrsixiZ\n2QpJ31b7rT68T9LO7PZOSW/W2MtntMvKzXkrS6vm167tVrx295b/k/SkZr7x/z9J/1hHDzl9fU3S\nB9m/Y3X3Jul1zbwNnNTMdyPPSFoj6YCkk5L+W1JvG/X2mqQjkj7UTNDW1dTbY5p5S/+hpMPZvyfr\nfu0SfdXyunGGHxAUX/gBQRF+ICjCDwRF+IGgCD8QFOEHgiL8QFCEHwjq/wFBOY+lRVL3VAAAAABJ\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f303e2952b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "print(\"Actual class of test image:\", test_lbl[211])\n",
    "plt.imshow(test_img[211].reshape((28,28)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Indeed, the item was a trouser! The algorithm classified the item correctly."
   ]
  }
 ],
 "metadata": {
  "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
