.ipynb_checkpoints/Association-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install efficient-apriori"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from efficient_apriori import apriori\n",
    "#pip install efficient-apriori"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "transactions=[(\"面包\", \"牛奶\"), \n",
    "             (\"面包\", \"啤酒\", \"尿布\", \"鸡蛋\"),\n",
    "             (\"牛奶\", \"啤酒\", \"尿布\", \"可乐\"),\n",
    "             (\"面包\", \"香肠\", \"尿布\", \"啤酒\"),\n",
    "             (\"面包\", \"牛奶\", \"尿布\", \"可乐\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "itemsets, rules=apriori(transactions, min_support=0.5, min_confidence=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{啤酒} -> {尿布}]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: {('啤酒',): 3, ('尿布',): 4, ('牛奶',): 3, ('面包',): 4},\n",
       " 2: {('啤酒', '尿布'): 3, ('尿布', '面包'): 3}}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "itemsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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   "file_extension": ".py",
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