process_and_train.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os\n",
    "from glob import glob\n",
    "import seaborn as sns\n",
    "from PIL import Image\n",
    "np.random.seed(123)\n",
    "\n",
    "from sklearn.metrics import confusion_matrix\n",
    "import itertools\n",
    "\n",
    "import keras\n",
    "from keras import regularizers\n",
    "from keras.utils.np_utils import to_categorical # used for converting labels to one-hot-encoding\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D\n",
    "from keras import backend as K\n",
    "from sklearn.model_selection import train_test_split\n",
    "from keras.preprocessing.image import ImageDataGenerator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "base_skin_dir = os.path.join('./data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merge images from both folders into one dictionary\n",
    "imageid_path_dict = {os.path.splitext(os.path.basename(x))[0]: x\n",
    "                     for x in glob(os.path.join(base_skin_dir, '*', '*.jpg'))}\n",
    "\n",
    "# This dictionary is useful for displaying more human-friendly labels later on\n",
    "\n",
    "lesion_type_dict = {\n",
    "    'nv': 'Melanocytic nevi',\n",
    "    'mel': 'Melanoma',\n",
    "    'bkl': 'Benign keratosis-like lesions ',\n",
    "    'bcc': 'Basal cell carcinoma',\n",
    "    'akiec': 'Actinic keratoses',\n",
    "    'vasc': 'Vascular lesions',\n",
    "    'df': 'Dermatofibroma'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lesion_id</th>\n",
       "      <th>image_id</th>\n",
       "      <th>dx</th>\n",
       "      <th>dx_type</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>localization</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10010</th>\n",
       "      <td>HAM_0002867</td>\n",
       "      <td>ISIC_0033084</td>\n",
       "      <td>akiec</td>\n",
       "      <td>histo</td>\n",
       "      <td>40.0</td>\n",
       "      <td>male</td>\n",
       "      <td>abdomen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10011</th>\n",
       "      <td>HAM_0002867</td>\n",
       "      <td>ISIC_0033550</td>\n",
       "      <td>akiec</td>\n",
       "      <td>histo</td>\n",
       "      <td>40.0</td>\n",
       "      <td>male</td>\n",
       "      <td>abdomen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10012</th>\n",
       "      <td>HAM_0002867</td>\n",
       "      <td>ISIC_0033536</td>\n",
       "      <td>akiec</td>\n",
       "      <td>histo</td>\n",
       "      <td>40.0</td>\n",
       "      <td>male</td>\n",
       "      <td>abdomen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10013</th>\n",
       "      <td>HAM_0000239</td>\n",
       "      <td>ISIC_0032854</td>\n",
       "      <td>akiec</td>\n",
       "      <td>histo</td>\n",
       "      <td>80.0</td>\n",
       "      <td>male</td>\n",
       "      <td>face</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10014</th>\n",
       "      <td>HAM_0003521</td>\n",
       "      <td>ISIC_0032258</td>\n",
       "      <td>mel</td>\n",
       "      <td>histo</td>\n",
       "      <td>70.0</td>\n",
       "      <td>female</td>\n",
       "      <td>back</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lesion_id      image_id     dx dx_type   age     sex localization\n",
       "10010  HAM_0002867  ISIC_0033084  akiec   histo  40.0    male      abdomen\n",
       "10011  HAM_0002867  ISIC_0033550  akiec   histo  40.0    male      abdomen\n",
       "10012  HAM_0002867  ISIC_0033536  akiec   histo  40.0    male      abdomen\n",
       "10013  HAM_0000239  ISIC_0032854  akiec   histo  80.0    male         face\n",
       "10014  HAM_0003521  ISIC_0032258    mel   histo  70.0  female         back"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read in the csv of metadata\n",
    "\n",
    "tile_df = pd.read_csv(os.path.join(base_skin_dir, 'HAM10000_metadata.csv'))\n",
    "tile_df.tail()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lesion_id</th>\n",
       "      <th>image_id</th>\n",
       "      <th>dx</th>\n",
       "      <th>dx_type</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>localization</th>\n",
       "      <th>path</th>\n",
       "      <th>cell_type</th>\n",
       "      <th>cell_type_idx</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9725</th>\n",
       "      <td>HAM_0004376</td>\n",
       "      <td>ISIC_0024843</td>\n",
       "      <td>akiec</td>\n",
       "      <td>histo</td>\n",
       "      <td>70.0</td>\n",
       "      <td>female</td>\n",
       "      <td>face</td>\n",
       "      <td>./data\\HAM10000_images_part_1\\ISIC_0024843.jpg</td>\n",
       "      <td>Actinic keratoses</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6059</th>\n",
       "      <td>HAM_0003024</td>\n",
       "      <td>ISIC_0024768</td>\n",
       "      <td>nv</td>\n",
       "      <td>follow_up</td>\n",
       "      <td>35.0</td>\n",
       "      <td>female</td>\n",
       "      <td>trunk</td>\n",
       "      <td>./data\\HAM10000_images_part_1\\ISIC_0024768.jpg</td>\n",
       "      <td>Melanocytic nevi</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4540</th>\n",
       "      <td>HAM_0001659</td>\n",
       "      <td>ISIC_0026564</td>\n",
       "      <td>nv</td>\n",
       "      <td>follow_up</td>\n",
       "      <td>35.0</td>\n",
       "      <td>male</td>\n",
       "      <td>lower extremity</td>\n",
       "      <td>./data\\HAM10000_images_part_1\\ISIC_0026564.jpg</td>\n",
       "      <td>Melanocytic nevi</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3817</th>\n",
       "      <td>HAM_0004625</td>\n",
       "      <td>ISIC_0029346</td>\n",
       "      <td>nv</td>\n",
       "      <td>follow_up</td>\n",
       "      <td>40.0</td>\n",
       "      <td>male</td>\n",
       "      <td>upper extremity</td>\n",
       "      <td>./data\\HAM10000_images_part_2\\ISIC_0029346.jpg</td>\n",
       "      <td>Melanocytic nevi</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7914</th>\n",
       "      <td>HAM_0000443</td>\n",
       "      <td>ISIC_0034271</td>\n",
       "      <td>nv</td>\n",
       "      <td>histo</td>\n",
       "      <td>35.0</td>\n",
       "      <td>female</td>\n",
       "      <td>back</td>\n",
       "      <td>./data\\HAM10000_images_part_2\\ISIC_0034271.jpg</td>\n",
       "      <td>Melanocytic nevi</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        lesion_id      image_id     dx    dx_type   age     sex  \\\n",
       "9725  HAM_0004376  ISIC_0024843  akiec      histo  70.0  female   \n",
       "6059  HAM_0003024  ISIC_0024768     nv  follow_up  35.0  female   \n",
       "4540  HAM_0001659  ISIC_0026564     nv  follow_up  35.0    male   \n",
       "3817  HAM_0004625  ISIC_0029346     nv  follow_up  40.0    male   \n",
       "7914  HAM_0000443  ISIC_0034271     nv      histo  35.0  female   \n",
       "\n",
       "         localization                                            path  \\\n",
       "9725             face  ./data\\HAM10000_images_part_1\\ISIC_0024843.jpg   \n",
       "6059            trunk  ./data\\HAM10000_images_part_1\\ISIC_0024768.jpg   \n",
       "4540  lower extremity  ./data\\HAM10000_images_part_1\\ISIC_0026564.jpg   \n",
       "3817  upper extremity  ./data\\HAM10000_images_part_2\\ISIC_0029346.jpg   \n",
       "7914             back  ./data\\HAM10000_images_part_2\\ISIC_0034271.jpg   \n",
       "\n",
       "              cell_type  cell_type_idx  \n",
       "9725  Actinic keratoses              0  \n",
       "6059   Melanocytic nevi              4  \n",
       "4540   Melanocytic nevi              4  \n",
       "3817   Melanocytic nevi              4  \n",
       "7914   Melanocytic nevi              4  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create some new columns (path to image, human-readable name) and review them\n",
    "\n",
    "tile_df['path'] = tile_df['image_id'].map(imageid_path_dict.get)\n",
    "tile_df['cell_type'] = tile_df['dx'].map(lesion_type_dict.get) \n",
    "tile_df['cell_type_idx'] = pd.Categorical(tile_df['cell_type']).codes\n",
    "tile_df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lesion_id</th>\n",
       "      <th>image_id</th>\n",
       "      <th>dx</th>\n",
       "      <th>dx_type</th>\n",
       "      <th>sex</th>\n",
       "      <th>localization</th>\n",
       "      <th>path</th>\n",
       "      <th>cell_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10015</td>\n",
       "      <td>10015</td>\n",
       "      <td>10015</td>\n",
       "      <td>10015</td>\n",
       "      <td>10015</td>\n",
       "      <td>10015</td>\n",
       "      <td>10015</td>\n",
       "      <td>10015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>7470</td>\n",
       "      <td>10015</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>10015</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>HAM_0005263</td>\n",
       "      <td>ISIC_0024653</td>\n",
       "      <td>nv</td>\n",
       "      <td>histo</td>\n",
       "      <td>male</td>\n",
       "      <td>back</td>\n",
       "      <td>./data\\HAM10000_images_part_2\\ISIC_0030330.jpg</td>\n",
       "      <td>Melanocytic nevi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6705</td>\n",
       "      <td>5340</td>\n",
       "      <td>5406</td>\n",
       "      <td>2192</td>\n",
       "      <td>1</td>\n",
       "      <td>6705</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          lesion_id      image_id     dx dx_type    sex localization  \\\n",
       "count         10015         10015  10015   10015  10015        10015   \n",
       "unique         7470         10015      7       4      3           15   \n",
       "top     HAM_0005263  ISIC_0024653     nv   histo   male         back   \n",
       "freq              6             1   6705    5340   5406         2192   \n",
       "\n",
       "                                                  path         cell_type  \n",
       "count                                            10015             10015  \n",
       "unique                                           10015                 7  \n",
       "top     ./data\\HAM10000_images_part_2\\ISIC_0030330.jpg  Melanocytic nevi  \n",
       "freq                                                 1              6705  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get general statistics for the dataset\n",
    "\n",
    "tile_df.describe(exclude=[np.number])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f12e6bbfd0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's see the distribution of different cell types\n",
    "\n",
    "fig, ax1 = plt.subplots(1, 1, figsize= (10, 5))\n",
    "tile_df['cell_type'].value_counts().plot(kind='bar', ax=ax1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f12e8e0940>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Too many melanocytic nevi - let's balance it a bit!\n",
    "\n",
    "tile_df = tile_df.drop(tile_df[tile_df.cell_type_idx == 4].iloc[:5000].index)\n",
    "\n",
    "fig, ax1 = plt.subplots(1, 1, figsize= (10, 5))\n",
    "tile_df['cell_type'].value_counts().plot(kind='bar', ax=ax1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_dims = (32, 32)\n",
    "input_shape = input_dims + (3,)\n",
    "\n",
    "# Load in all of the images into memory - this will take a while.  \n",
    "# We also do a resize step because the original dimensions of 450 * 600 * 3 was too much for TensorFlow\n",
    "\n",
    "tile_df['image'] = tile_df['path'].map(lambda x: np.asarray(Image.open(x).resize(input_dims)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2304x1512 with 56 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_samples = 8\n",
    "fig, m_axs = plt.subplots(7, n_samples, figsize = (4*n_samples, 3*7))\n",
    "for n_axs, (type_name, type_rows) in zip(m_axs, \n",
    "                                         tile_df.sort_values(['cell_type']).groupby('cell_type')):\n",
    "    n_axs[0].set_title(type_name)\n",
    "    for c_ax, (_, c_row) in zip(n_axs, type_rows.sample(n_samples, random_state=2018).iterrows()):\n",
    "        c_ax.imshow(c_row['image'])\n",
    "        c_ax.axis('off')\n",
    "fig.savefig('category_samples.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(32, 32, 3)    5015\n",
       "Name: image, dtype: int64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# See the image size distribution - should just return one row (all images are uniform)\n",
    "tile_df['image'].map(lambda x: x.shape).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export to csv \n",
    "# tile_df.to_csv('processed_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = tile_df.cell_type_idx\n",
    "x_train_o, x_test_o, y_train_o, y_test_o = train_test_split(tile_df, y, test_size=0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train = np.asarray(x_train_o['image'].tolist())\n",
    "x_test = np.asarray(x_test_o['image'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train_mean = np.mean(x_train)\n",
    "x_train_std = np.std(x_train)\n",
    "\n",
    "x_test_mean = np.mean(x_test)\n",
    "x_test_std = np.std(x_test)\n",
    "\n",
    "x_train = (x_train - x_train_mean)/x_train_std\n",
    "x_test = (x_test - x_test_mean)/x_test_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train = to_categorical(y_train_o, num_classes = 7)\n",
    "y_test = to_categorical(y_test_o, num_classes = 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_shape = (32, 32, 3)\n",
    "num_classes = 7\n",
    "batch_size = 32 \n",
    "epochs = 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Conv2D(32, kernel_size=(3, 3),\n",
    "                 activation='relu',\n",
    "                 input_shape=input_shape))\n",
    "model.add(Conv2D(64, (3, 3), activation='relu'))\n",
    "model.add(MaxPool2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.25))\n",
    "model.add(Conv2D(64, (3, 3), activation='relu'))\n",
    "model.add(MaxPool2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.25))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(128, activation='relu',kernel_regularizer=regularizers.l2(0.01)))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Dense(num_classes, activation='softmax'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_71 (Conv2D)           (None, 30, 30, 32)        896       \n",
      "_________________________________________________________________\n",
      "conv2d_72 (Conv2D)           (None, 28, 28, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_47 (MaxPooling (None, 14, 14, 64)        0         \n",
      "_________________________________________________________________\n",
      "dropout_84 (Dropout)         (None, 14, 14, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_73 (Conv2D)           (None, 12, 12, 64)        36928     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_48 (MaxPooling (None, 6, 6, 64)          0         \n",
      "_________________________________________________________________\n",
      "dropout_85 (Dropout)         (None, 6, 6, 64)          0         \n",
      "_________________________________________________________________\n",
      "flatten_25 (Flatten)         (None, 2304)              0         \n",
      "_________________________________________________________________\n",
      "dense_62 (Dense)             (None, 128)               295040    \n",
      "_________________________________________________________________\n",
      "dropout_86 (Dropout)         (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_63 (Dense)             (None, 7)                 903       \n",
      "=================================================================\n",
      "Total params: 352,263\n",
      "Trainable params: 352,263\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.compile(loss=keras.losses.categorical_crossentropy,\n",
    "              optimizer=keras.optimizers.Adam(lr=0.001),\n",
    "              metrics=['accuracy'])\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 3761 samples, validate on 1254 samples\n",
      "Epoch 1/25\n",
      "3761/3761 [==============================] - 4s 989us/step - loss: 2.4922 - acc: 0.3826 - val_loss: 1.7621 - val_acc: 0.3979\n",
      "Epoch 2/25\n",
      "3761/3761 [==============================] - 1s 382us/step - loss: 1.6301 - acc: 0.4222 - val_loss: 1.4948 - val_acc: 0.4450\n",
      "Epoch 3/25\n",
      "3761/3761 [==============================] - 1s 366us/step - loss: 1.4898 - acc: 0.4531 - val_loss: 1.4083 - val_acc: 0.4761\n",
      "Epoch 4/25\n",
      "3761/3761 [==============================] - 1s 367us/step - loss: 1.4227 - acc: 0.4688 - val_loss: 1.3703 - val_acc: 0.5239\n",
      "Epoch 5/25\n",
      "3761/3761 [==============================] - 1s 365us/step - loss: 1.3991 - acc: 0.4890 - val_loss: 1.3756 - val_acc: 0.5191\n",
      "Epoch 6/25\n",
      "3761/3761 [==============================] - 1s 372us/step - loss: 1.3712 - acc: 0.4993 - val_loss: 1.3705 - val_acc: 0.5024\n",
      "Epoch 7/25\n",
      "3761/3761 [==============================] - 1s 374us/step - loss: 1.3487 - acc: 0.5166 - val_loss: 1.3556 - val_acc: 0.5064\n",
      "Epoch 8/25\n",
      "3761/3761 [==============================] - 1s 373us/step - loss: 1.3369 - acc: 0.5265 - val_loss: 1.3875 - val_acc: 0.5247\n",
      "Epoch 9/25\n",
      "3761/3761 [==============================] - 1s 376us/step - loss: 1.3303 - acc: 0.5270 - val_loss: 1.3459 - val_acc: 0.5295\n",
      "Epoch 10/25\n",
      "3761/3761 [==============================] - 1s 368us/step - loss: 1.2926 - acc: 0.5568 - val_loss: 1.2940 - val_acc: 0.5853\n",
      "Epoch 11/25\n",
      "3761/3761 [==============================] - 1s 372us/step - loss: 1.2941 - acc: 0.5525 - val_loss: 1.3181 - val_acc: 0.5686\n",
      "Epoch 12/25\n",
      "3761/3761 [==============================] - 1s 368us/step - loss: 1.2972 - acc: 0.5589 - val_loss: 1.2779 - val_acc: 0.5869\n",
      "Epoch 13/25\n",
      "3761/3761 [==============================] - 1s 368us/step - loss: 1.2578 - acc: 0.5711 - val_loss: 1.3685 - val_acc: 0.5399\n",
      "Epoch 14/25\n",
      "3761/3761 [==============================] - 1s 378us/step - loss: 1.2574 - acc: 0.5735 - val_loss: 1.2958 - val_acc: 0.5742\n",
      "Epoch 15/25\n",
      "3761/3761 [==============================] - 1s 377us/step - loss: 1.2173 - acc: 0.6022 - val_loss: 1.2810 - val_acc: 0.5989\n",
      "Epoch 16/25\n",
      "3761/3761 [==============================] - 1s 373us/step - loss: 1.2369 - acc: 0.5937 - val_loss: 1.3094 - val_acc: 0.5893\n",
      "Epoch 17/25\n",
      "3761/3761 [==============================] - 1s 379us/step - loss: 1.2289 - acc: 0.6014 - val_loss: 1.3294 - val_acc: 0.5750\n",
      "Epoch 18/25\n",
      "3761/3761 [==============================] - 1s 373us/step - loss: 1.2186 - acc: 0.6145 - val_loss: 1.3323 - val_acc: 0.5774\n",
      "Epoch 19/25\n",
      "3761/3761 [==============================] - 1s 376us/step - loss: 1.2030 - acc: 0.6137 - val_loss: 1.3543 - val_acc: 0.5654\n",
      "Epoch 20/25\n",
      "3761/3761 [==============================] - 1s 376us/step - loss: 1.1951 - acc: 0.6307 - val_loss: 1.3190 - val_acc: 0.5877\n",
      "Epoch 21/25\n",
      "3761/3761 [==============================] - 1s 374us/step - loss: 1.1665 - acc: 0.6341 - val_loss: 1.3160 - val_acc: 0.5973\n",
      "Epoch 22/25\n",
      "3761/3761 [==============================] - 1s 372us/step - loss: 1.1932 - acc: 0.6304 - val_loss: 1.3310 - val_acc: 0.5821\n",
      "Epoch 23/25\n",
      "3761/3761 [==============================] - 1s 370us/step - loss: 1.1838 - acc: 0.6397 - val_loss: 1.3519 - val_acc: 0.5797\n",
      "Epoch 24/25\n",
      "3761/3761 [==============================] - 1s 374us/step - loss: 1.1654 - acc: 0.6559 - val_loss: 1.3325 - val_acc: 0.5981\n",
      "Epoch 25/25\n",
      "3761/3761 [==============================] - 1s 378us/step - loss: 1.1262 - acc: 0.6679 - val_loss: 1.3143 - val_acc: 0.5997\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(x_train, y_train,\n",
    "          batch_size=batch_size,\n",
    "          epochs=epochs,\n",
    "          verbose=1,\n",
    "          validation_data=(x_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss: 1.3142941781398403\n",
      "Test accuracy: 0.5996810208287155\n"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(x_test, y_test, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy:', score[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2,1)\n",
    "ax[0].plot(history.history['loss'], color='b', label=\"Training loss\")\n",
    "ax[0].plot(history.history['val_loss'], color='r', label=\"Validation loss\",axes =ax[0])\n",
    "legend = ax[0].legend(loc='best', shadow=True)\n",
    "\n",
    "ax[1].plot(history.history['acc'], color='b', label=\"Training accuracy\")\n",
    "ax[1].plot(history.history['val_acc'], color='r',label=\"Validation accuracy\")\n",
    "legend = ax[1].legend(loc='best', shadow=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_confusion_matrix(cm, classes,\n",
    "                          normalize=False,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, cm[i, j],\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "\n",
    "# Predict the values from the validation dataset\n",
    "y_pred = model.predict(x_test)\n",
    "# Convert predictions classes to one hot vectors \n",
    "y_pred_classes = np.argmax(y_pred,axis = 1) \n",
    "# Convert validation observations to one hot vectors\n",
    "y_true = np.argmax(y_test,axis = 1) \n",
    "# compute the confusion matrix\n",
    "confusion_mtx = confusion_matrix(y_true, y_pred_classes) \n",
    "# plot the confusion matrix\n",
    "plot_confusion_matrix(confusion_mtx, classes = range(7)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Fraction classified incorrectly')"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "label_frac_error = 1 - np.diag(confusion_mtx) / np.sum(confusion_mtx, axis=1)\n",
    "plt.bar(np.arange(7),label_frac_error)\n",
    "plt.xlabel('True Label')\n",
    "plt.ylabel('Fraction classified incorrectly')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}