Untitled1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
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   "metadata": {},
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   "source": [
    "from mnist_number_human import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "2018년 7월 2일 Hands on Machin Learning 세미나 chap.3 mnist 예시 program\n",
      "\n",
      "본 프로그램은 mnist dataset의 숫자들을 유저가 알아맞추는 프로그램입니다.\n",
      "중간에 \"0\"을 눌러 프로그램을 종료할 수 있습니다.\n",
      "본 프로그램의 오더에 따라 알맞은 값을 입력해주세요.\n",
      "\n",
      "1~70000까지의 숫자를 입력하세요 : 5\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'function' object has no attribute 'set_size_inches'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-3-263240bbee7e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\workspace\\handson-ml-master\\Untitled Folder\\mnist_number_human.py\u001b[0m in \u001b[0;36mmain\u001b[1;34m()\u001b[0m\n\u001b[0;32m    116\u001b[0m                             \u001b[1;32mbreak\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    117\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 118\u001b[1;33m                     \u001b[0mshowing_number_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muser_input_number\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    119\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0mis_yes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwant_showing_plot\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    120\u001b[0m                     \u001b[0mshowing_number_plot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muser_input_number\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\workspace\\handson-ml-master\\Untitled Folder\\mnist_number_human.py\u001b[0m in \u001b[0;36mshowing_number_plot\u001b[1;34m(user_input_number, X)\u001b[0m\n\u001b[0;32m     53\u001b[0m     \u001b[0msome_digit_image\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msome_digit\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m28\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m28\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     54\u001b[0m     \u001b[0mfig\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 55\u001b[1;33m     \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_size_inches\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     56\u001b[0m     plt.imshow(some_digit_image, cmap = matplotlib.cm.binary, \\\n\u001b[0;32m     57\u001b[0m         interpolation = 'nearest')\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'function' object has no attribute 'set_size_inches'"
     ]
    }
   ],
   "source": [
    "main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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