digits classification

Author: ugik

Digits Classification.ipynb

@@ -220,13 +220,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 56,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "import numpy as np\n",
+    "# create an absurd digit\n",
     "absurd =  [  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,   \n",
     "             0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,\n",
     "             0.,  0., 15., 15., 15., 15.,  0.,  0.,  \n",
@@ -240,16 +241,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 57,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAECCAYAAADesWqHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nWgCDLzVk8KWGDL7UkMGXGvofQ9rKqjBlFtAAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP4AAAECCAYAAADesWqHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nG+KrRMI3yQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2311d134a8>"
+       "<matplotlib.figure.Figure at 0x7f23119616d8>"
       ]
      },
      "metadata": {},
@@ -261,13 +262,13 @@
        "array([4])"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# predict another image from test data\n",
+    "# predict absurdity!\n",
     "plt.matshow(absurd.reshape(-1, 8))\n",
     "plt.show()\n",
     "knn.predict(absurd.reshape(1,-1))"