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@yamanetoshi
Created July 22, 2018 06:43
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7.4.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "7.4.ipynb",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"[View in Colaboratory](https://colab.research.google.com/gist/yamanetoshi/3fed0094e6cafc56d881dedf41d4e445/7-4.ipynb)"
]
},
{
"metadata": {
"id": "_85_9kukk9ir",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 224
},
"outputId": "b2e1d6b4-1611-4ef5-e9f8-e098febbe26d"
},
"cell_type": "code",
"source": [
"!pip install fastFM"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting fastFM\n",
" Downloading https://files.pythonhosted.org/packages/f5/15/fdbb9b9455efa48ffb07b9880a1e567e0c7a7de0acc4aa7f1c5ba9ce4f2c/fastFM-0.2.11-cp36-cp36m-manylinux1_x86_64.whl (483kB)\n",
"\u001b[K 100% |████████████████████████████████| 491kB 1.8MB/s \n",
"\u001b[?25hRequirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from fastFM)\n",
"Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from fastFM)\n",
"Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from fastFM)\n",
"Collecting cython (from fastFM)\n",
" Downloading https://files.pythonhosted.org/packages/19/eb/c4d9f3beafd5ac0615936860bcee41d93ca58f8734a16715da0037d2c468/Cython-0.28.2-cp36-cp36m-manylinux1_x86_64.whl (3.4MB)\n",
"\u001b[K 100% |████████████████████████████████| 3.4MB 402kB/s \n",
"\u001b[?25hInstalling collected packages: cython, fastFM\n",
"Successfully installed cython-0.28.2 fastFM-0.2.11\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "x3XFv9G9lFKr",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 85
},
"outputId": "cae7f519-c191-4aea-ebd4-9a745144dd50"
},
"cell_type": "code",
"source": [
"from sklearn.feature_extraction import DictVectorizer\n",
"\n",
"train = [\n",
" {\"user\": \"1\", \"item\": \"5\", \"age\": 19},\n",
" {\"user\": \"2\", \"item\": \"43\", \"age\": 33},\n",
" {\"user\": \"3\", \"item\": \"20\", \"age\": 55},\n",
" {\"user\": \"4\", \"item\": \"10\", \"age\": 20},\n",
"]\n",
"\n",
"v = DictVectorizer()\n",
"X = v.fit_transform(train)\n",
"print(X.toarray())"
],
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": [
"[[19. 0. 0. 0. 1. 1. 0. 0. 0.]\n",
" [33. 0. 0. 1. 0. 0. 1. 0. 0.]\n",
" [55. 0. 1. 0. 0. 0. 0. 1. 0.]\n",
" [20. 1. 0. 0. 0. 0. 0. 0. 1.]]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "7ITPvvxclXEj",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "2bb1e974-d617-4c5e-caa5-badcca285697"
},
"cell_type": "code",
"source": [
"from fastFM import als\n",
"import numpy as np\n",
"\n",
"y = np.array([5.0, 1.0, 2.0, 4.0])\n",
"fm = als.FMRegression(n_iter=1000, init_stdev=0.1, rank=2, l2_reg_w=0.1, l2_reg_V=0.5)\n",
"fm.fit(X, y)\n",
"fm.predict(v.transform({\"user\": \"5\", \"item\": \"10\", \"age\": 24}))"
],
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([3.60775939])"
]
},
"metadata": {
"tags": []
},
"execution_count": 7
}
]
},
{
"metadata": {
"id": "pyAyMQIQohRc",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"def load_data(filename, path=\"ml-100k/\"):\n",
" data = []\n",
" y = []\n",
" with open(path+filename) as f:\n",
" for line in f:\n",
" (user, movieid, rating, ts) = line.split('\\t')\n",
" data.append({\"user_id\": str(user), \"movie_id\": str(movieid)})\n",
" y.append(float(rating))\n",
" \n",
" return (data, np.array(y))\n",
" \n",
"(dev_data, y_dev) = load_data(\"ua.base\")\n",
"(test_data, y_test) = load_data(\"ua.test\")"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "EJExWiSprAXP",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"from sklearn.model_selection import train_test_split"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "rw9SfqSb3ko7",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"テキストは sklearn.feature_selection となっていた件。。"
]
},
{
"metadata": {
"id": "dKN77Ypape0z",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"from sklearn.model_selection import train_test_split\n",
"\n",
"v = DictVectorizer()\n",
"X_dev = v.fit_transform(dev_data)\n",
"X_test = v.transform(test_data)\n",
"np.std(y_test)\n",
"X_train, X_dev_test, y_train, y_dev_test = train_test_split(X_dev, y_dev, test_size=0.1, random_state=42)\n"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "33TauYRK35C_",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 500
},
"outputId": "40e7c7fd-f0f7-408e-cc34-85348534ac38"
},
"cell_type": "code",
"source": [
"from sklearn.metrics import mean_squared_error\n",
"from fastFM import mcmc\n",
"\n",
"n_iter = 300\n",
"step_size = 1\n",
"seed = 123\n",
"rank = 4\n",
"\n",
"fm = mcmc.FMRegression(n_iter=0, rank=rank, random_state=seed)\n",
"fm.fit_predict(X_train, y_train, X_dev_test)\n",
"\n",
"rmse_dev_test = []\n",
"rmse_test = []\n",
"hyper_param = np.zeros((n_iter -1, 3 + 2 * rank), dtype=np.float64)\n",
"\n",
"for nr, i in enumerate(range(1, n_iter)):\n",
" fm.random_state = i * seed\n",
" y_pred = fm.fit_predict(X_train, y_train, X_dev_test, n_more_iter=step_size)\n",
" rmse_test.append(np.sqrt(mean_squared_error(y_pred, y_dev_test)))\n",
" hyper_param[nr, :] = fm.hyper_param_\n",
" \n",
"values = np.arange(1, n_iter)\n",
"x = values * step_size\n",
"burn_in = 5\n",
"x = x[burn_in:]\n",
"\n",
"from matplotlib import pyplot as plt\n",
"fig, axes = plt.subplots(nrows=2, ncols=2, sharex=True, figsize=(15, 8))\n",
"\n",
"axes[0, 0].plot(x, rmse_test[burn_in:], label='dev test rmse', color=\"r\")\n",
"axes[0, 0].legend()\n",
"axes[0, 1].plot(x, hyper_param[burn_in:,0], label='alpha', color=\"b\")\n",
"axes[0, 1].legend()\n",
"axes[1, 0].plot(x, hyper_param[burn_in:,1], label='lambda_w', color=\"g\")\n",
"axes[1, 0].legend()\n",
"axes[1, 1].plot(x, hyper_param[burn_in:,3], label='mu_w', color=\"g\")\n",
"axes[1, 1].legend()"
],
"execution_count": 32,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f4b7aec7940>"
]
},
"metadata": {
"tags": []
},
"execution_count": 32
},
{
"output_type": "display_data",
"data": {
"image/png": 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CrdW6yMg4w7RpxQweXMaJE944cnMvPV534ta+fflr1DgrbjJVUggh6lFYWBh/+9vfPI/v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\nIYQQQggxzv0fTivD1SiOGSMAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f4b80eb4d30>"
]
},
"metadata": {
"tags": []
}
}
]
}
]
}
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