{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# sklearn_Normalization\n",
    "\n",
    "https://morvanzhou.github.io/tutorials/machine-learning/sklearn/3-1-normalization/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn import preprocessing #标准化数据模块\n",
    "from sklearn.model_selection import train_test_split # 将资料分割成train与test的模块\n",
    "from sklearn.datasets.samples_generator import make_classification # 生成适合做classification资料的模块\n",
    "from sklearn.svm import SVC  # Support Vector Machine中的Support Vector Classifier\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.         -0.85170713 -0.55138018]\n",
      " [-1.22474487 -0.55187146 -0.852133  ]\n",
      " [ 1.22474487  1.40357859  1.40351318]]\n"
     ]
    }
   ],
   "source": [
    "#建立Array\n",
    "a = np.array([[10, 2.7, 3.6],\n",
    "              [-100, 5, -2],\n",
    "              [120, 20, 40]], dtype=np.float64)\n",
    "\n",
    "#将normalized后的a打印出\n",
    "print(preprocessing.scale(a))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例子2 - 数据标准化对机器学习成效的影响"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YsWNp2bLlnd/YO+BwOJg4aRKRfn584nTyNfCZ08luY/hswoS/9arASimV3tLz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\nCCFyxP8DBaWUU4wD7xcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f81123630b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#生成具有2种属性的300笔数据\n",
    "X, y = make_classification(\n",
    "    n_samples=300, n_features=2,\n",
    "    n_redundant=0, n_informative=2, \n",
    "    random_state=22, n_clusters_per_class=1, \n",
    "    scale=100)\n",
    "\n",
    "#可视化数据\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean accuracy: 0.933333333333\n"
     ]
    }
   ],
   "source": [
    "# 数据标准化前\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)\n",
    "clf = SVC()\n",
    "clf.fit(X_train, y_train)\n",
    "print('mean accuracy:', clf.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean accuracy: 0.955555555556\n"
     ]
    }
   ],
   "source": [
    "# 数据标准化后\n",
    "X = preprocessing.scale(X)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)\n",
    "clf = SVC()\n",
    "clf.fit(X_train, y_train)\n",
    "print('mean accuracy:', clf.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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