{"id":382,"date":"2020-01-24T15:57:33","date_gmt":"2020-01-24T06:57:33","guid":{"rendered":"http:\/\/aiacademy.jp\/media\/?p=382"},"modified":"2025-06-19T11:23:11","modified_gmt":"2025-06-19T02:23:11","slug":"python%e3%81%a8%e6%a9%9f%e6%a2%b0%e5%ad%a6%e7%bf%92%e3%82%92%e6%b4%bb%e7%94%a8%e3%81%97%e3%80%81%e8%8a%b1%e3%81%ae%e7%a8%ae%e9%a1%9e%e3%82%92%e5%88%a4%e5%ae%9a%e3%81%99%e3%82%8bweb%e3%82%a2%e3%83%97","status":"publish","type":"post","link":"https:\/\/aiacademy.jp\/media\/?p=382","title":{"rendered":"Python\u3068\u6a5f\u68b0\u5b66\u7fd2\u3092\u6d3b\u7528\u3057\u3001\u82b1\u306e\u7a2e\u985e\u3092\u5224\u5b9a\u3059\u308bWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u308d\u3046\uff01"},"content":{"rendered":"<h5 id=\"i-0\">\u3053\u306e\u8a18\u4e8b\u306f\u7d0410\u5206\u3067\u8aad\u3081\u307e\u3059\u3002\uff08\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u306a\u304c\u3089\u8aad\u3080\u5834\u5408\u306f20\u301c30\u5206\uff09<\/h5>\n<p><strong data-start=\"94\" data-end=\"110\">\u3053\u306e\u8a18\u4e8b\u3067\u308f\u304b\u308b\u3053\u3068<\/strong><br data-start=\"110\" data-end=\"113\"><strong>\u30fb\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f7f\u3063\u305fWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u69cb\u7bc9\u65b9\u6cd5<\/strong><br data-start=\"141\" data-end=\"144\"><strong>\u30fbScikit-learn\u3092\u7528\u3044\u305f\u30e2\u30c7\u30eb\u306e\u4f5c\u6210\u3068\u4fdd\u5b58<\/strong><br data-start=\"170\" data-end=\"173\"><strong>\u30fbFlask\u3092\u6d3b\u7528\u3057\u305f\u30b7\u30f3\u30d7\u30eb\u306aWeb\u30a2\u30d7\u30ea\u958b\u767a\u306e\u624b\u9806<\/strong><br data-start=\"200\" data-end=\"203\"><strong>\u30fbHTML\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u306e\u4f5c\u308a\u65b9\u3068\u52d5\u4f5c\u78ba\u8a8d\u307e\u3067\u306e\u6d41\u308c<\/strong><\/p>\n<div class=\"toc\">    <div id=\"toc_container\" class=\"sgb-toc--no-bullets js-smooth-scroll\" data-dialog-title=\"Table of Contents\">\n      <p class=\"toc_title\">\u76ee\u6b21 <\/p>\n      <ul class=\"toc_list\">  <li class=\"first\">    <a href=\"#i-1\">\u306f\u3058\u3081\u306b<\/a>  <\/li>  <li>    <a href=\"#i-2\">\u5b8c\u6210\u7248<\/a>  <\/li>  <li>    <a href=\"#i-3\">\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u5168\u4f53\u50cf<\/a>  <\/li>  <li>    <a href=\"#i-4\">\u30d5\u30a1\u30a4\u30eb\u69cb\u6210\u3068\u6e96\u5099<\/a>  <\/li>  <li>    <a href=\"#i-5\">\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b<\/a>  <\/li>  <li>    <a href=\"#i-6\">Flask\u3067Web\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u308b<\/a>  <\/li>  <li>    <a href=\"#i-7\">\u52d5\u4f5c\u78ba\u8a8d<\/a>  <\/li>  <li>    <a href=\"#i-8\">\u307e\u3068\u3081<\/a>  <\/li>  <li>    <a href=\"#i-9\">\u6a5f\u68b0\u5b66\u7fd2\u3092\u4f7f\u3063\u305fWeb\u30a2\u30d7\u30ea\u958b\u767aFAQ<\/a>  <\/li>  <li class=\"last\">    <a href=\"#i-10\">\u2728AI\u4eba\u6750\u30b3\u30fc\u30b9 \u53d7\u8b1b\u304a\u7533\u8fbc\u307f\u53d7\u4ed8\u4e2d\uff01<\/a>  <\/li><\/ul>\n      \n    <\/div><\/div><div class=\"toc\"><p><\/p>\n<\/div><h2 id=\"i-1\">\u306f\u3058\u3081\u306b<\/h2>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001Scikit-learn\u3068Flask\u3092\u7528\u3044\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092Web\u30a2\u30d7\u30ea\u3068\u3057\u3066\u52d5\u304b\u3059\u4e00\u9023\u306e\u6d41\u308c\u3092\u4f53\u9a13\u3057\u307e\u3059\u3002\u5c0f\u3055\u306a\u30b9\u30c6\u30c3\u30d7\u3067\u3059\u304c\u3001\u30e2\u30c7\u30eb\u3092\u201c\u4f7f\u3048\u308b\u5f62\u201d\u306b\u3059\u308b\u6280\u8853\u3092\u5b9f\u611f\u3067\u304d\u308b\u5b9f\u8df5\u6559\u6750\u3067\u3059\u3002<\/p>\n<p>Scikit-learn\u3068Flask\u3092\u4f7f\u3063\u3066\u30a2\u30a4\u30ea\u30b9\u306e\u82b1\u306e\u5165\u529b\u304b\u3089\u30013\u7a2e\u985e\u306e\u82b1\u306e\u4e2d\u304b\u30891\u3064\u3092\u63a8\u6e2c\u3059\u308bWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u958b\u767a\u3057\u307e\u3059\u3002<br>Scikit-learn\u3084Flask\u306b\u95a2\u3057\u3066\u65e2\u77e5\u3068\u3044\u3046\u524d\u63d0\u3067\u9032\u3081\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n<p>\u95a2\u9023\u8a18\u4e8b\uff1a<a href=\"https:\/\/aiacademy.jp\/media\/?p=1916\" target=\"_blank\" rel=\"noopener\">\u3010\u521d\u5fc3\u8005\u5411\u3051\u3011\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea scikit-learn\uff08sklearn\uff09\u3068\u306f\uff1f \u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u4f53\u9a13\u3057\u3066\u307f\u3088\u3046\uff01<\/a><\/p>\n<p>\u95a2\u9023\u8a18\u4e8b\uff1a<a href=\"https:\/\/aiacademy.jp\/media\/?p=57\" target=\"_blank\" rel=\"noopener\">\u3010Python\u3011Flask\u3068\u306f\uff1fFlask\u3067Web\u958b\u767a\u306e\u57fa\u790e\u3092\u5b66\u307c\u3046\uff01<\/a><\/p>\n<p>\u74b0\u5883\u306f\u3001Python3.6\u4ee5\u4e0a\u306b\u3001scikit-learn\u3001flask\u3001Werkzeug\u3001WTForms\u306a\u3069\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4e8b\u524d\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3042\u308b\u3053\u3068\u3092\u524d\u63d0\u306b\u9032\u3081\u307e\u3059\u3002<\/p>\n<p>\u305d\u308c\u305e\u308c\u3001\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3067\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<br>\uff08Mac\u3067\u3059\u3068\u30bf\u30fc\u30df\u30ca\u30eb\u3001Windows\u3067\u3059\u3068\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u8d77\u52d5\u3057\u3001\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5165\u529b\u3057\u5b9f\u884c(Enter)\u3057\u3066\u304f\u3060\u3055\u3044\uff09<\/p>\n<pre><code class=\"shell\">pip install sklearn flask \n<\/code><\/pre>\n<p>\u4e07\u304c\u4e00\u3001<em>\u30e2\u30b8\u30e5\u30fc\u30eb\u30a8\u30e9\u30fc\u304c\u51fa\u305f\u5834\u5408\u306f\u3001\u5225\u9014\u305d\u306e\u30a8\u30e9\u30fc\u306e\u30e2\u30b8\u30e5\u30fc\u30eb\u3092pip\u30b3\u30de\u30f3\u30c9\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/em><br>\u4eca\u56de\u4f5c\u6210\u3057\u305f\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f<a href=\"https:\/\/aiacademy.jp\/dataset\/iris_predict.zip\">\u3053\u3061\u3089<\/a>\u304b\u3089zip\u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<h2 id=\"i-2\">\u5b8c\u6210\u7248<\/h2>\n<p><iframe loading=\"lazy\" title=\"AI Academy Iris Predict\" width=\"880\" height=\"495\" src=\"https:\/\/www.youtube.com\/embed\/romPQu-djlk?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h2 id=\"i-3\">\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u5168\u4f53\u50cf<\/h2>\n<p>\u30a2\u30a4\u30ea\u30b9\u306e\u82b1\u306e\u30c7\u30fc\u30bf\u3092\u5b66\u7fd2\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u3001\u30a2\u30a4\u30ea\u30b9\u306e\u82b1\u306e\u843c\u7247\u306e\u9577\u3055\u3084\u5e45\u306a\u3069\u306e4\u3064\u306e\u6570\u5024\u30fb\u5c0f\u6570\u70b9\u306e\u30c7\u30fc\u30bf\u3092\u5165\u529b\u3059\u308b\u3053\u3068\u3067\u3001\u305d\u306e\u9577\u3055\u304b\u3089\u4f55\u306e\u82b1\u304b\u3092\u51fa\u529b\uff08\u63a8\u6e2c\uff09\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308bWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u3063\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/qiita-image-store.s3.amazonaws.com\/0\/171715\/d50e4162-04e4-2b69-0afe-88fcba674bfd.png\" alt=\"\"><\/p>\n<p>\u307e\u305a\u3001\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u5074\u304b\u3089\u843c\uff08\u304c\u304f\uff09\u306e\u9577\u3055\u3084\u3001\u82b1\u3073\u3089\u306e\u9577\u3055\u306a\u3069\u3092\u5165\u529b\u3057\u3001\u5224\u5b9a\uff08\u9001\u4fe1\uff09\u30dc\u30bf\u30f3\u3092\u62bc\u3057\u307e\u3059\u3002\u305d\u306e\u5024\u304c\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\uff08flask + scikit-learn)\u5074\u306b\u9001\u3089\u308c\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/qiita-image-store.s3.amazonaws.com\/0\/171715\/0df97a06-671d-46cb-f317-994e1fdaf707.png\" alt=\"\"><\/p>\n<p>\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u5074\u3067\u5165\u529b\u3057\u305f\u5024\u304b\u3089\u305d\u308c\u304c\u30a2\u30a4\u30ea\u30b9\u306e\u3069\u306e\u82b1\u304b\u3092\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u306b\u8fd4\u3057\u307e\u3059\u3002<\/p>\n<h2 id=\"i-4\">\u30d5\u30a1\u30a4\u30eb\u69cb\u6210\u3068\u6e96\u5099<\/h2>\n<p><strong>\u4eca\u56de\u306f\u3001app.py\u3068\u3001nn.py\u3001templates\u30d5\u30a9\u30eb\u30c0\u3068\u305d\u306e\u4e2d\u306b\u3001index.html\u3068result.html\u306e\u5408\u8a084\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/strong><br>\u30d5\u30a9\u30eb\u30c0\u306f\u3001\u305d\u308c\u30894\u3064\u3092\u307e\u3068\u3081\u305firis_predict\u30d5\u30a9\u30eb\u30c0\u3068\u305d\u306e\u4e2d\u306b\u3001templates\u30d5\u30a9\u30eb\u30c0\u306e2\u3064\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n<pre><code class=\"shell\">[iris_predict\u30d5\u30a9\u30eb\u30c0].\n\u251c\u2500\u2500 app.py\u3000\u3000\u3000\u3000\u3000\u3000\u2190Flask\u3067Web\u30a2\u30d7\u30ea\u3092\u5236\u5fa1\n\u251c\u2500\u2500 nn.pk \u3000\u3000\u3000\u3000\u3000\u3000\u2190\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\n\u251c\u2500\u2500 nn.py1           \u2190\u5b66\u7fd2\u6e08\u30e2\u30c7\u30eb\n\u251c\u2500\u2500 templates\n    \u251c\u2500\u2500 index.html   \u2190\u5165\u529b\u30d5\u30a9\u30fc\u30e0\n    \u2514\u2500\u2500 result.html  \u2190\u7d50\u679c\u8868\u793a\u30da\u30fc\u30b8\n\n1 directories, 5 files\n<\/code><\/pre>\n<p>\u3067\u306f\u3001\u307e\u305airis_predict\u30d5\u30a9\u30eb\u30c0\u3092\u4f5c\u6210\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n<p>\u53f3\u30af\u30ea\u30c3\u30af\u3092\u62bc\u3059\u3068\u6b21\u306e\u3088\u3046\u306a\u30dd\u30c3\u30d7\u30a2\u30c3\u30d7\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<br><strong>\u65b0\u898f\u30d5\u30a9\u30eb\u30c0<\/strong>\u3068\u3044\u3046\u306e\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/qiita-image-store.s3.amazonaws.com\/0\/171715\/c1b92bd7-1ca3-249f-5792-159b0b842d09.png\" alt=\"\"><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/qiita-image-store.s3.amazonaws.com\/0\/171715\/1def7d1e-23a2-dfb6-5444-2003092de42a.png\" alt=\"\"><\/p>\n<p>\u540d\u79f0\u672a\u8a2d\u5b9a\u30d5\u30a9\u30eb\u30bf\u3099\u3068\u3044\u3046\u30d5\u30a1\u30a4\u30eb\u540d\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059\u306e\u3067\u3001<br>\u540d\u524d\u306e\u90e8\u5206\u3092\u30af\u30ea\u30c3\u30af\u3059\u308b\u3068\u30d5\u30a9\u30eb\u30c0\u540d\u3092\u5909\u66f4\u3067\u304d\u307e\u3059\u306e\u3067\u3001iris_predict\u3068\u3044\u3046\u540d\u524d\u306b\u5909\u66f4\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/qiita-image-store.s3.amazonaws.com\/0\/171715\/87520d2f-c5dd-743c-b951-d39edf719296.png\" alt=\"\"><\/p>\n<p><strong>\u3053\u308c\u304b\u3089\u4f5c\u6210\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u5168\u3066\u3001iris_predict\u30d5\u30a9\u30eb\u30c0\u306e\u4e2d\u306b\u4fdd\u5b58\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/strong><\/p>\n<h2 id=\"i-5\">\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b<\/h2>\n<p>\u3067\u306f\u3001\u307e\u305a\u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u90e8\u5206\u304b\u3089\u4f5c\u3063\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u4f7f\u3046\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3059\u3002<\/p>\n<p>\u6b21\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001\u30a2\u30a4\u30ea\u30b9\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8aad\u307f\u8fbc\u307f\u3001\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u30fb\u4fdd\u5b58\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<pre><code class=\"python:\">from sklearn.datasets import load_iris\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.neural_network import MLPClassifier\nfrom sklearn.externals import joblib\nfrom sklearn.metrics import classification_report, accuracy_score\n# import pickle\n\n# \u30c7\u30fc\u30bf\u53d6\u5f97\niris = load_iris()\nx, y = iris.data, iris.target\n\n# \u8a13\u7df4\u30c7\u30fc\u30bf\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306b\u5206\u5272\nx_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.5, random_state=0)\n\n# solver\u306b\u306f\u78ba\u7387\u7684\u52fe\u914d\u964d\u4e0b\u6cd5(sgd)\u3084adam\u306a\u3069\u304c\u5229\u7528\u53ef\u80fd\u3067\u3059\u3002\nmodel = MLPClassifier(solver=\"sgd\", random_state=0, max_iter=3000)\n\n# \u5b66\u7fd2\nmodel.fit(x_train, y_train)\npred = model.predict(x_test)\n\n# \u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u304c\u7d42\u308f\u3063\u305f\u3089\u3001\u5b66\u7fd2\u6e08\u30e2\u30c7\u30eb\u3092\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u4fdd\u5b58\u3057\u3066\u304a\u304d\u307e\u3059\u3002<br># \u4eca\u56de\u306fScikit-learn\u3067\u63a8\u5968\u3055\u308c\u3066\u3044\u308bjoblib\u3092\u4f7f\u3063\u3066\u30e2\u30c7\u30eb\u3092\u4fdd\u5b58\u3057\u307e\u3059\u3002<br># pickel\u3088\u308a\u9ad8\u901f\u3067\u3001\u5927\u304d\u306a\u30c7\u30fc\u30bf\u306b\u3082\u9069\u3057\u3066\u3044\u307e\u3059\u3002\njoblib.dump(model, \"nn.pkl\", compress=True)\n\n# filename = 'nn.sav'\n# pickle.dump(model, open(filename, 'wb'))\n\n# \u4e88\u6e2c\u7cbe\u5ea6\nprint(\"result: \", model.score(x_test, y_test))\nprint(classification_report(y_test, pred))\n<\/code><\/pre>\n<p>\u3053\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4eca\u56de\u306f<strong>nn.py<\/strong>\u3068\u3057\u3066\u4fdd\u5b58\u3057\u307e\u3059\u3002<br>\u5b9f\u884c\u3059\u308b\u3068\u3001<strong>nn.pkl<\/strong>\u3068\u3044\u3046\u30d5\u30a1\u30a4\u30eb\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059\u3002<br>\u3053\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u5f8c\u306b\u4f7f\u7528\u3059\u308b\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2 id=\"i-6\">Flask\u3067Web\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u308b<\/h2>\n<p>Flask\u3092\u4f7f\u3063\u3066\u3001Web\u30b5\u30fc\u30d0\u5074\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u88c5\u3057\u3066\u3044\u304d\u307e\u3059\u3002<br>\u4fdd\u5b58\u3059\u308b\u30d5\u30a1\u30a4\u30eb\u540d\u306f\u3001app.py\u3068\u3057\u307e\u3059\u3002<\/p>\n<p>predict\u95a2\u6570\u3068getName\u95a2\u6570\u3092\u4f5c\u3063\u3066\u3044\u304d\u307e\u3059\u3002<br>predict\u95a2\u6570\u3067\u306f\u3001\u5148\u307b\u3069\u306enn.py\u3067\u5b66\u7fd2\u3057\u3066\u4f5c\u6210\u3055\u308c\u305f\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u3001\u5f15\u6570\u3067\u53d7\u3051\u53d6\u3063\u305fparameters\u3092\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u306b\u6e21\u3057\u3066\u3044\u307e\u3059\u3002<br>\u305d\u306e\u7d50\u679c[0]\u304b[1]\u304b[2]\u304c\u5909\u6570pred\u306b\u4ee3\u5165\u3055\u308c\u305d\u306e\u5024\u3092return\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>getName\u95a2\u6570\u3067\u306f\u3001predict\u95a2\u6570\u306e\u8fd4\u308a\u5024\u3092getName\u95a2\u6570\u306b\u6e21\u3059\u3053\u3068\u3067\u3001\u30e9\u30d9\u30eb\u304b\u3089\u82b1\u306e\u540d\u524d\u3092\u8fd4\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>app.py<\/p>\n<pre><code class=\"python\">from flask import Flask, render_template, request, flash\nfrom wtforms import Form, FloatField, SubmitField, validators, ValidationError\nimport numpy as np\nfrom sklearn.externals import joblib\n\n# \u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u5229\u7528\u3057\u307e\u3059\ndef predict(parameters):\n    # \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u30e2\u30c7\u30eb\u3092\u8aad\u307f\u8fbc\u307f\n    model = joblib.load('.\/nn.pkl')\n    params = parameters.reshape(1,-1)\n    pred = model.predict(params)\n    return pred\n\n# \u30e9\u30d9\u30eb\u304b\u3089Iris\u306e\u540d\u524d\u3092\u53d6\u5f97\u3057\u307e\u3059\ndef getName(label):\n    print(label)\n    if label == 0:\n        return \"Iris Setosa\"\n    elif label == 1: \n        return \"Iris Versicolor\"\n    elif label == 2: \n        return \"Iris Virginica\"\n    else: \n        return \"Error\"\n\napp = Flask(__name__)\napp.config.from_object(__name__)\napp.config['SECRET_KEY'] = 'zJe09C5c3tMf5FnNL09C5d6SAzZoY'\n\n# \u516c\u5f0f\u30b5\u30a4\u30c8\n# http:\/\/wtforms.simplecodes.com\/docs\/0.6\/fields.html\n# Flask\u3068wtforms\u3092\u4f7f\u3044\u3001index.html\u5074\u3067\u8868\u793a\u3055\u305b\u308b\u30d5\u30a9\u30fc\u30e0\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002\nclass IrisForm(Form):\n    SepalLength = FloatField(\"Sepal Length(cm)\uff08\u855a\u306e\u9577\u3055\uff09\",\n                     [validators.InputRequired(\"\u3053\u306e\u9805\u76ee\u306f\u5165\u529b\u5fc5\u9808\u3067\u3059\"),\n                     validators.NumberRange(min=0, max=10)])\n\n    SepalWidth  = FloatField(\"Sepal Width(cm)\uff08\u855a\u306e\u5e45\uff09\",\n                     [validators.InputRequired(\"\u3053\u306e\u9805\u76ee\u306f\u5165\u529b\u5fc5\u9808\u3067\u3059\"),\n                     validators.NumberRange(min=0, max=10)])\n\n    PetalLength = FloatField(\"Petal length(cm)\uff08\u82b1\u5f01\u306e\u9577\u3055\uff09\",\n                     [validators.InputRequired(\"\u3053\u306e\u9805\u76ee\u306f\u5165\u529b\u5fc5\u9808\u3067\u3059\"),\n                     validators.NumberRange(min=0, max=10)])\n\n    PetalWidth  = FloatField(\"petal Width(cm)\uff08\u82b1\u5f01\u306e\u5e45\uff09\",\n                     [validators.InputRequired(\"\u3053\u306e\u9805\u76ee\u306f\u5165\u529b\u5fc5\u9808\u3067\u3059\"),\n                     validators.NumberRange(min=0, max=10)])\n\n    # html\u5074\u3067\u8868\u793a\u3059\u308bsubmit\u30dc\u30bf\u30f3\u306e\u8868\u793a\n    submit = SubmitField(\"\u5224\u5b9a\")\n\n@app.route('\/', methods = ['GET', 'POST'])\ndef predicts():\n    form = IrisForm(request.form)\n    if request.method == 'POST':\n        if form.validate() == False:\n            flash(\"\u5168\u3066\u5165\u529b\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\")\n            return render_template('index.html', form=form)\n        else:            \n            SepalLength = float(request.form[\"SepalLength\"])            \n            SepalWidth  = float(request.form[\"SepalWidth\"])            \n            PetalLength = float(request.form[\"PetalLength\"])            \n            PetalWidth  = float(request.form[\"PetalWidth\"])\n\n            x = np.array([SepalLength, SepalWidth, PetalLength, PetalWidth])\n            pred = predict(x)\n            irisName = getName(pred)\n\n            return render_template('result.html', irisName=irisName)\n    elif request.method == 'GET':\n\n        return render_template('index.html', form=form)\n\nif __name__ == \"__main__\":\n    app.run()\n<\/code><\/pre>\n<p><strong><em>templates\u30d5\u30a9\u30eb\u30c0\u3092\u4f5c\u6210\u3057\u3001templates\u30d5\u30a9\u30eb\u30c0\u5185\u306b\u3001index.html\u3068result.html\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/em><\/strong><\/p>\n<p>\u6b21\u306e\u5185\u5bb9\u3092\u8a18\u8ff0\u3057\u3001index.html\u3068\u3044\u3046\u30d5\u30a1\u30a4\u30eb\u540d\u3067\u4fdd\u5b58\u3057\u3001templates\u30d5\u30a9\u30eb\u30c0\u5185\u306b\u4fdd\u5b58\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>index.html<\/p>\n<pre><code class=\"htmlmixed\">&lt;title&gt;Iris Predict App&lt;\/title&gt;\n&lt;style&gt;\n#wrapper {\n   text-align: center;\n}\n&lt;\/style&gt;\n\n      &lt;div id=\"wrapper\"&gt;\n         {% for message in form.SepalLength.errors %}\n            &lt;div&gt;{{ message }}&lt;\/div&gt;\n         {% endfor %}\n\n         {% for message in form.SepalWidth.errors %}\n            &lt;div&gt;{{ message }}&lt;\/div&gt;\n         {% endfor %}\n\n         {% for message in form.PetalLength.errors %}\n            &lt;div&gt;{{ message }}&lt;\/div&gt;\n         {% endfor %}\n\n         {% for message in form.PetalWidth.errors %}\n            &lt;div&gt;{{ message }}&lt;\/div&gt;\n         {% endfor %}\n\n         &lt;form method=\"post\"&gt;\n            {{ form.SepalLength.label }}&lt;br&gt;\n            {{ form.SepalLength }}\n            &lt;br&gt;\n            {{ form.SepalWidth.label }}&lt;br&gt;\n            {{ form.SepalWidth }}\n            &lt;br&gt;\n            {{ form.PetalLength.label }}&lt;br&gt;\n            {{ form.PetalLength }}\n            &lt;br&gt;\n            {{ form.PetalWidth.label }}&lt;br&gt;\n            {{ form.PetalWidth }}\n            &lt;br&gt;\n            {{ form.submit }}\n         &lt;\/form&gt;\n      &lt;\/div&gt;\n<\/code><\/pre>\n<p>\u6b21\u306e\u5185\u5bb9\u3092\u8a18\u8ff0\u3057\u3001result.html\u3068\u3044\u3046\u30d5\u30a1\u30a4\u30eb\u540d\u3067\u4fdd\u5b58\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<pre><code class=\"htmlmixed\">&lt;!DOCTYPE html&gt;\n&lt;title&gt;Iris Predict App&lt;\/title&gt;\n{% if irisName %}\n  &lt;h1&gt;\u3053\u308c\u306f {{ irisName }} \u3067\u3059&lt;\/h1&gt;\n  &lt;a href=\".\/\"&gt;\u30c8\u30c3\u30d7\u3078\u623b\u308b&lt;\/a&gt;\n{% else %}\n  &lt;a href=\".\/\"&gt;\u30c8\u30c3\u30d7\u3078\u623b\u308b&lt;\/a&gt;\n{% endif %}\n<\/code><\/pre>\n<h2 id=\"i-7\">\u52d5\u4f5c\u78ba\u8a8d<\/h2>\n<p>app.py\u3092\u6b21\u306e\u3088\u3046\u306b\u3057\u3066\u8d77\u52d5\u3057\u307e\u3059\u3002<\/p>\n<pre><code class=\"shell\">python app.py\n<\/code><\/pre>\n<p>\u30bf\u30fc\u30df\u30ca\u30eb\u3084\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\u304b\u3089\u6b21\u306e\u3088\u3046\u306a\u51fa\u529b\u3055\u308c\u307e\u3059\u3002<\/p>\n<pre><code class=\"shell\"> * Serving Flask app \"app\" (lazy loading)\n * Environment: production\n   WARNING: Do not use the development server in a production environment.\n   Use a production WSGI server instead.\n * Debug mode: off\n * Running on http:\/\/127.0.0.1:5000\/ (Press CTRL+C to quit)\n<\/code><\/pre>\n<p>http:\/\/127.0.0.1:5000\/<br>\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3053\u3068\u3067\u3001\u6b21\u306e\u3088\u3046\u306aWeb\u30da\u30fc\u30b8\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/qiita-image-store.s3.amazonaws.com\/0\/171715\/243750bc-0572-ad2a-9fe8-b168c3dfdf18.png\" alt=\"\"><\/p>\n<p>\u3042\u3068\u306f\u3001\u305d\u308c\u305e\u308c4\u3064\u306e\u5165\u529b\u30d5\u30a9\u30fc\u30e0\u306b\u6570\u5024\u3092\u5165\u308c\u3066\u5224\u5b9a\u30dc\u30bf\u30f3\u3092\u62bc\u3059\u3053\u3068\u3067\u3001\u82b1\u306e\u7a2e\u985e\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2 id=\"i-8\">\u307e\u3068\u3081<\/h2>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001Scikit-learn\u3068Flask\u3092\u4f7f\u3063\u3066\u3001\u30a2\u30a4\u30ea\u30b9\u306e\u82b1\u306e\u7a2e\u985e\u3092\u4e88\u6e2c\u3059\u308bWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u4e00\u304b\u3089\u69cb\u7bc9\u3057\u307e\u3057\u305f\u3002<br data-start=\"319\" data-end=\"322\">\u5165\u529b\u30d5\u30a9\u30fc\u30e0\u3092\u7528\u610f\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u304b\u3089\u5f97\u305f\u30c7\u30fc\u30bf\u3092\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3067\u51e6\u7406\u3057\u3001\u63a8\u5b9a\u7d50\u679c\u3092Web\u4e0a\u3067\u8868\u793a\u3059\u308b\u4ed5\u7d44\u307f\u3092\u5b9f\u88c5\u3057\u3066\u3044\u307e\u3059\u3002<br data-start=\"383\" data-end=\"386\">\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u901a\u3058\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092Web\u306b\u7d44\u307f\u8fbc\u3080\u57fa\u672c\u7684\u306a\u6d41\u308c\u304c\u4f53\u9a13\u3067\u304d\u307e\u3059\u3002<br data-start=\"429\" data-end=\"432\">\u540c\u3058\u69cb\u6210\u3067\u3001\u624b\u66f8\u304d\u6570\u5b57\u306e\u5206\u985e\uff08MNIST\uff09\u3084\u3001\u30b9\u30d1\u30e0\u30e1\u30fc\u30eb\u5224\u5b9a\u306a\u3069\u306b\u3082\u5fdc\u7528\u3067\u304d\u307e\u3059\u3002\u30e2\u30c7\u30eb\u3092\u5909\u3048\u308b\u3060\u3051\u3067\u3001\u8eab\u8fd1\u306a\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30d7\u30ea\u304c\u5897\u3084\u305b\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:image --><\/p>\n\n<!-- wp:heading -->\n<h2 class=\"wp-block-heading\" id=\"i-9\">\u6a5f\u68b0\u5b66\u7fd2\u3092\u4f7f\u3063\u305fWeb\u30a2\u30d7\u30ea\u958b\u767aFAQ<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p><strong><span class=\"keiko_blue\">Q1. Python\u306e\u521d\u5fc3\u8005\u3067\u3082\u3053\u306e\u5185\u5bb9\u306f\u7406\u89e3\u3067\u304d\u307e\u3059\u304b\uff1f<\/span><\/strong><br>A. Python\u306e\u57fa\u672c\u6587\u6cd5\u3084\u30bf\u30fc\u30df\u30ca\u30eb\u64cd\u4f5c\u3001pip\u306b\u3088\u308b\u30e2\u30b8\u30e5\u30fc\u30eb\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u3067\u304d\u308c\u3070\u554f\u984c\u3042\u308a\u307e\u305b\u3093\u3002\u521d\u5b66\u8005\u5411\u3051\u306e\u5b9f\u8df5\u3068\u3057\u3066\u3082\u304a\u3059\u3059\u3081\u3067\u3059\u3002<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong><span class=\"keiko_blue\">Q2. \u4f7f\u7528\u3059\u308bPython\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u5236\u9650\u306f\u3042\u308a\u307e\u3059\u304b\uff1f<\/span><\/strong><br>A. Python3.6\u4ee5\u4e0a\u304c\u63a8\u5968\u3067\u3057\u305f\u304c\u3001\u73fe\u5728\u3067\u306fPython3.8\uff5e3.11\u306a\u3069\u3001\u3088\u308a\u65b0\u3057\u3044\u30d0\u30fc\u30b8\u30e7\u30f3\u306e\u4f7f\u7528\u3082\u4e00\u822c\u7684\u3067\u3059\u3002Scikit-learn\u3084Flask\u306a\u3069\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u4e92\u63db\u6027\u304c\u3042\u308b\u6700\u65b0\u5b89\u5b9a\u7248\u3092\u4f7f\u3046\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\u3002<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong><span class=\"keiko_blue\">Q3. \u81ea\u5206\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u5225\u306e\u5206\u985e\u30a2\u30d7\u30ea\u3092\u4f5c\u308c\u307e\u3059\u304b\uff1f<\/span><\/strong><br>A. \u306f\u3044\u3002\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3084\u30e2\u30c7\u30eb\u5b66\u7fd2\u306e\u90e8\u5206\u3092\u5909\u66f4\u3059\u308c\u3070\u3001\u540c\u3058\u69cb\u9020\u3067\u4ed6\u306e\u5206\u985e\u30bf\u30b9\u30af\u306b\u3082\u5bfe\u5fdc\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong><span class=\"keiko_blue\">Q4. Web\u30a2\u30d7\u30ea\u3092\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u4e0a\u306b\u516c\u958b\u3067\u304d\u307e\u3059\u304b\uff1f<\/span><\/strong><br>A. \u672c\u8a18\u4e8b\u3067\u306f\u30ed\u30fc\u30ab\u30eb\u52d5\u4f5c\u78ba\u8a8d\u307e\u3067\u3092\u6271\u3063\u3066\u3044\u307e\u3059\u304c\u3001Heroku\u3084Render\u3001VPS\u306a\u3069\u3092\u4f7f\u3048\u3070\u516c\u958b\u53ef\u80fd\u3067\u3059\u3002\u74b0\u5883\u8a2d\u5b9a\u3084\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u9762\u3067\u306e\u77e5\u8b58\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading -->\n<h2 class=\"wp-block-heading\" id=\"i-10\">\u2728AI\u4eba\u6750\u30b3\u30fc\u30b9 \u53d7\u8b1b\u304a\u7533\u8fbc\u307f\u53d7\u4ed8\u4e2d\uff01<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>Python\u306e\u57fa\u790e\u304b\u3089\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3001\u6a5f\u68b0\u5b66\u7fd2\u3001LLM\u30a2\u30d7\u30ea\u958b\u767a\u307e\u3067\u309240\u6642\u9593\u4ee5\u4e0a\u306e\u5b9f\u8df5\u52d5\u753b\u3067\u4f53\u7cfb\u7684\u306b\u5b66\u3079\u307e\u3059<br>\u521d\u5fc3\u8005\u304b\u3089\u30d7\u30ed\u3092\u76ee\u6307\u3059\u65b9\u307e\u3067\u5bfe\u5fdc\u3059\u308b\u30d7\u30e9\u30f3\u304c\u63c3\u3063\u3066\u304a\u308a\u3001\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u672a\u7d4c\u9a13\u8005\u306b\u3082\u5b89\u5fc3\u306e\u5185\u5bb9\u3067\u3059 \u3002<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>AI\u4eba\u6750\u30b3\u30fc\u30b9<\/strong>\u306e\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u3084\u6599\u91d1\u3001\u30b5\u30dd\u30fc\u30c8\u4f53\u5236\u306e\u9055\u3044\u3092\u3001\u3072\u3068\u76ee\u3067\u628a\u63e1\u3067\u304d\u308b<strong>\u53d7\u8b1b\u30ac\u30a4\u30c9<\/strong>\u3092\u3054\u7528\u610f\u3057\u307e\u3057\u305f\u3002\u3044\u307e\u306a\u3089\u3001\u5272\u5f15\u30af\u30fc\u30dd\u30f3\u4ed8\u304d\u3067\u516c\u5f0fLINE\u304b\u3089\u53d7\u3051\u53d6\u308c\u307e\u3059\u3002<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:image {\"id\":7629,\"linkDestination\":\"custom\"} -->\n<figure class=\"wp-block-image\"><a href=\"https:\/\/lin.ee\/3E4GzWk\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"571\" src=\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2025\/04\/aigeneral3-2-1024x571.jpg\" alt=\"\" class=\"wp-image-7629\" srcset=\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2025\/04\/aigeneral3-2-1024x571.jpg 1024w, https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2025\/04\/aigeneral3-2-300x167.jpg 300w, https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2025\/04\/aigeneral3-2-768x429.jpg 768w, https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2025\/04\/aigeneral3-2-1536x857.jpg 1536w, https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2025\/04\/aigeneral3-2-2048x1143.jpg 2048w, https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2025\/04\/aigeneral3-2-940x524.jpg 940w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"><\/a><\/figure>\n<!-- \/wp:image -->","protected":false},"excerpt":{"rendered":"<p>\u3053\u306e\u8a18\u4e8b\u306f\u7d0410\u5206\u3067\u8aad\u3081\u307e\u3059\u3002\uff08\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u306a\u304c\u3089\u8aad\u3080\u5834\u5408\u306f20\u301c30\u5206\uff09 \u3053\u306e\u8a18\u4e8b\u3067\u308f\u304b\u308b\u3053\u3068\u30fb\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f7f\u3063\u305fWeb\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u69cb\u7bc9\u65b9\u6cd5\u30fbScikit-learn\u3092\u7528\u3044\u305f\u30e2\u30c7\u30eb\u306e\u4f5c\u6210\u3068\u4fdd\u5b58\u30fbFlask\u3092 &#8230; <\/p>\n","protected":false},"author":1,"featured_media":7688,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85,87],"tags":[],"class_list":{"0":"post-382","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-python","8":"category-87"},"_links":{"self":[{"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=\/wp\/v2\/posts\/382","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=382"}],"version-history":[{"count":15,"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=\/wp\/v2\/posts\/382\/revisions"}],"predecessor-version":[{"id":7677,"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=\/wp\/v2\/posts\/382\/revisions\/7677"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=\/wp\/v2\/media\/7688"}],"wp:attachment":[{"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=382"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=382"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aiacademy.jp\/media\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=382"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}