chap11/03_contextual_bandit.ipynb

{
 "cells": [
  {
   "source": [
    "<a href=\"https://colab.research.google.com/github/oreilly-japan/ml-at-work/blob/master/chap11/03_contextual_bandit.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "![表紙](https://www.oreilly.co.jp/books/images/picture978-4-87311-947-2.gif)\n",
    "\n",
    "このノートブックはオライリー・ジャパンより発行の書籍[『仕事ではじめる機械学習 第2版』](https://www.oreilly.co.jp/books/9784873119472/)のサンプルコードです。コードの解説等は書籍をご参照ください。なお、このコードを動作させた結果について、著者およびオライリー・ジャパンは一切の責任を負いません。"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 11.8 文脈付き多椀バンディットのブートストラップ法による実装"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scipy\n",
    "import scipy.stats\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BootstrapTSContextualBandit:\n",
    "    def __init__(self, regression_model_cls, param, arm_num=2, model_num=100, seed=None, bagging_rate=1.0):\n",
    "        self.arm_num = arm_num\n",
    "        self.model_num = model_num\n",
    "        self.bagging_rate = bagging_rate\n",
    "        self.seed = seed\n",
    "        self.models = [\n",
    "            [\n",
    "                regression_model_cls(**param)\n",
    "                for i in range(model_num)\n",
    "            ]\n",
    "            for j in range(self.arm_num)            \n",
    "        ]\n",
    "        self.is_initialized = False\n",
    "            \n",
    "    def fit(self, x, arm, y):\n",
    "        np.random.seed(self.seed)\n",
    "\n",
    "        for arm_id in range(self.arm_num):\n",
    "            _x = x[arm == arm_id]\n",
    "            _y = y[arm == arm_id]\n",
    "            n_samples = len(_y)\n",
    "\n",
    "            for i in range(self.model_num):\n",
    "                picked_sample = np.random.randint(0, n_samples, int(n_samples * self.bagging_rate)) \n",
    "                bootstrap_weight = np.bincount(picked_sample, minlength=n_samples)\n",
    "                self.models[arm_id][i].fit(_x, _y, sample_weight=bootstrap_weight)\n",
    "\n",
    "        self.is_initialized = True\n",
    "\n",
    "    def _predict_mean_sd(self, x, arm_id):\n",
    "        predict_result = np.array([\n",
    "            estimator.predict(x)\n",
    "            for estimator in self.models[arm_id]\n",
    "        ])\n",
    "\n",
    "        mean = np.mean(predict_result, axis=0)\n",
    "        sd = np.std(predict_result, axis=0)\n",
    "\n",
    "        return mean, sd\n",
    "    \n",
    "    def _predict_thompson_sampling(self, x, arm_id):\n",
    "        mean, sd = self._predict_mean_sd(x, arm_id)\n",
    "        return np.random.normal(mean, sd)\n",
    "        \n",
    "    def choice_arm(self, x):\n",
    "        if self.is_initialized is False:\n",
    "            return np.random.choice(self.arm_num, x.shape[0])\n",
    "\n",
    "        score_list = np.zeros((x.shape[0], self.arm_num), dtype=np.float64)\n",
    "        for arm_id in range(self.arm_num):\n",
    "            score_list[:, arm_id] = self._predict_thompson_sampling(x, arm_id)\n",
    "        return np.argmax(score_list, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_sample_data(sample_num=10000):\n",
    "    weight = np.array([\n",
    "        [0.05, 0.05, -0.05, 0.0, 0.0, 0.0, 0.0],\n",
    "        [-0.05, 0.05, 0.05, 0.0, 0.0, 0.0, 0.0],\n",
    "        [0.05, -0.05, 0.05, 0.0, 0.0, 0.0, 0.0],\n",
    "    ])\n",
    "\n",
    "    arm_num, feature_num = weight.shape\n",
    "    feature_vector = np.random.rand(sample_num, feature_num)\n",
    "\n",
    "    theta = np.zeros((sample_num, arm_num))\n",
    "    for i in range(arm_num):\n",
    "        theta[:,i] = np.sum(feature_vector * weight[i], axis = 1)\n",
    "        \n",
    "    is_cv = (theta > np.random.rand(sample_num, arm_num)).astype(np.int8)\n",
    "\n",
    "    return feature_vector, is_cv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sklearn.tree\n",
    "\n",
    "loop_num = 100\n",
    "batch_size = 1000\n",
    "\n",
    "base_model = sklearn.tree.DecisionTreeRegressor\n",
    "param = {\n",
    "        'max_depth': 6,\n",
    "        'min_samples_split': 10,\n",
    "        'max_features': None,\n",
    "}\n",
    "\n",
    "model = BootstrapTSContextualBandit(base_model, param, arm_num = 3)\n",
    "\n",
    "x_history = np.zeros((0, 7))\n",
    "y_history = np.zeros(0)\n",
    "arm_history = np.zeros(0)\n",
    "scores = []\n",
    "\n",
    "for i in range(loop_num):\n",
    "    x, is_cv = generate_sample_data(batch_size)\n",
    "\n",
    "    choiced_arm = model.choice_arm(x)\n",
    "    y = is_cv[range(batch_size), choiced_arm]\n",
    "   \n",
    "    x_history = np.vstack((x_history, x))\n",
    "    y_history = np.append(y_history, y)\n",
    "    arm_history = np.append(arm_history, choiced_arm)\n",
    "    \n",
    "    model.fit(x_history, arm_history, y_history)\n",
    "    \n",
    "    score = np.sum(y_history) / y_history.shape[0]\n",
    "    scores.append(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x22570a03940>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(dpi=400)\n",
    "plt.plot(scores)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}