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        "# This Python 3 environment comes with many helpful analytics libraries installed\n",
        "# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
        "# For example, here's several helpful packages to load in \n",
        "\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "from sklearn.svm import SVC # support vector machine\n",
        "from scipy import misc\n",
        "\n",
        "# Input data files are available in the \"../input/\" directory.\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
        "\n",
        "from subprocess import check_output\n",
        "#print(check_output([\"ls\", \"../input/test\"]).decode(\"utf8\"))\n",
        "\n",
        "n_samples=100\n",
        "def load_image(imagename,showimg=False):\n",
        "    rawimg=misc.imread(imagename)\n",
        "    scaledimage=misc.imresize(rawimg,(100,100))\n",
        "    if showimg:\n",
        "        misc.imshow(scaledimage)\n",
        "    return scaledimage.ravel()\n",
        "\n",
        "#face = misc.imread('../input/test/cat.1.jpg')\n",
        "cat_images=[load_image(\"../input/train/cat.%d.jpg\" %i) for i in range(n_samples)]\n",
        "dog_images=[load_image(\"../input/train/dog.%d.jpg\" %i) for i in range(n_samples)]\n",
        "load_image(\"../input/train/dog.1.jpg\",True)\n",
        "training_samples=np.array(cat_images+dog_images)\n",
        "print(training_samples.shape)\n",
        "labels=[\"cat\" for c in cat_images]+[\"dog\" for d in dog_images]\n",
        "clf = SVC()\n",
        "clf.fit(training_samples,labels)\n",
        "\n",
        "clf.predict([load_image(\"../input/test/%d.jpg\" %i) for i in range(10,15)])\n",
        "\n",
        "#type(face)      \n",
        "#face.shape, face.dtype\n",
        "# Any results you write to the current directory are saved as output."
      ]
    },
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      "source": ""
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