{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# ロジステック回帰 - pymc3"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"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 pymc3 as pm\n",
"import scipy.stats as stats\n",
"\n",
"import logging\n",
"_logger = logging.getLogger(\"theano.gof.compilelock\")\n",
"_logger.setLevel(logging.ERROR)"
]
},
{
"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",
"- pymc3のexample/dataフォルダにあるデータを利用する．\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": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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\n",
" \n",
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