{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# ロジステック回帰 - pystan" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from __future__ import division\n", "import os\n", "import sys\n", "import glob\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "%matplotlib inline\n", "%precision 4\n", "#plt.style.use('ggplot')\n", "import seaborn as sns\n", "sns.set_style('white')\n", "sns.set_context('paper')\n", "\n", "np.random.seed(1234)\n", "import pystan\n", "import scipy.stats as stats\n", "\n", "import scipy.stats as stats" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ロジステック回帰による女性・男性決定問題\n", "\n", "- 身長,体重データを利用して女性・男性を決定する問題を扱う.\n", "- データはpandasのデータフレームとして渡す(データの単位は不明….foot/poundでない)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
\n", " | male | \n", "height | \n", "weight | \n", "
---|---|---|---|
0 | \n", "0 | \n", "63.2 | \n", "168.7 | \n", "
1 | \n", "0 | \n", "68.7 | \n", "169.8 | \n", "
2 | \n", "0 | \n", "64.8 | \n", "176.6 | \n", "
3 | \n", "0 | \n", "67.9 | \n", "246.8 | \n", "
4 | \n", "1 | \n", "68.9 | \n", "151.6 | \n", "