KNN.ipynb

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      "/home/wlun/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
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     "text": [
      "(60000, 28, 28)\n",
      "(60000,)\n",
      "(10000, 28, 28)\n",
      "(10000,)\n",
      "(60000, 784)\n",
      "(10000, 784)\n"
     ]
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "import numpy as np\n",
    "from keras.datasets import fashion_mnist\n",
    "(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()\n",
    "print(x_train.shape)\n",
    "print(y_train.shape)\n",
    "print(x_test.shape)\n",
    "print(y_test.shape)\n",
    "\n",
    "x_train = np.array(x_train).reshape(-1, 784)\n",
    "x_test = np.array(x_test).reshape(-1, 784)\n",
    "print(x_train.shape)\n",
    "print(x_test.shape)"
   ]
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   "metadata": {},
   "outputs": [
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      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "           metric_params=None, n_jobs=1, n_neighbors=15, p=2,\n",
       "           weights='uniform')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "neigh = KNeighborsClassifier(n_neighbors=15)\n",
    "neigh.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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   "source": [
    "predicted_output = neigh.predict(x_test)"
   ]
  },
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   "execution_count": 8,
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      "0.8462\n",
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   ],
   "source": [
    "\n",
    "from sklearn.externals import joblib\n",
    "joblib.dump(neigh, 'fashion-mnist-model-knn.pkl') \n",
    "\n",
    "print(metrics.accuracy_score(y_test, predicted_output))\n",
    "print(metrics.confusion_matrix(y_test, predicted_output))"
   ]
  }
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