DisplayHelpers.ipynb

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 "cells": [
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   "cell_type": "markdown",
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   "source": [
    "** Some Utility Functions ** "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(cm, labels, title='Confusion matrix', cmap=plt.cm.Blues):\n",
    "    fig = plt.figure(figsize=(10,10))\n",
    "    plt.clf()\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.set_aspect(1)\n",
    "    #plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    res = ax.imshow(cm, cmap=plt.cm.jet, interpolation='nearest')\n",
    "    width = len(cm)\n",
    "    height = len(cm[0])\n",
    "\n",
    "    for x in xrange(width):\n",
    "        for y in xrange(height):\n",
    "            ax.annotate(str(cm[x][y]), xy=(y, x), \n",
    "                        horizontalalignment='center',\n",
    "                        verticalalignment='center')\n",
    "\n",
    "    plt.title(title)\n",
    "    plt.colorbar(res)\n",
    "    tick_marks = np.arange(len(labels))\n",
    "    plt.xticks(tick_marks, labels, rotation=90)\n",
    "    plt.yticks(tick_marks, labels)\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def plot_precision_and_recall(precision, recall, labels):\n",
    "    fig, ax = plt.subplots()\n",
    "    ind = np.arange(len(precision))\n",
    "    width = 0.2\n",
    "    rects1 = ax.bar(ind, precision, width, color='r')\n",
    "    rects2 = ax.bar(ind+width, recall, width, color='y')\n",
    "    \n",
    "    ax.set_ylabel('Percentage')\n",
    "    ax.set_title(\"Precision vs Recall for all the classes\")\n",
    "    ax.set_xticks(ind+width)\n",
    "    ax.set_xticklabels(labels, rotation=90)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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