{"id":2533,"date":"2024-06-27T19:13:34","date_gmt":"2024-06-27T10:13:34","guid":{"rendered":"https:\/\/mindtech.jp\/?p=2533"},"modified":"2024-06-27T19:13:35","modified_gmt":"2024-06-27T10:13:35","slug":"post-2533","status":"publish","type":"post","link":"https:\/\/mindtech.jp\/?p=2533","title":{"rendered":"PyCaret2 \u304b\u3089 PyCaret3 \u3078\u306e\u79fb\u884c\u5bfe\u5fdc\u306e\u30e1\u30e2"},"content":{"rendered":"\n<p>\u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u30a2\u30c3\u30d7\u3092\u3057\u305f\u3089\u3001\u306a\u3093\u304b\u30a8\u30e9\u30fc\u3092\u5410\u304f\u3088\u3046\u306b\u306a\u3063\u305f\u3068\u306e\u3053\u3068\u3067\u3001\u3044\u308d\u3044\u308d\u30e1\u30e2<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u4e88\u6e2c\u5024\u30e9\u30d9\u30eb\u306e\u5909\u66f4<\/h2>\n\n\n\n<p>\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u3092\u884c\u3044\u3001\u6700\u7d42\u7684\u306b\u4e88\u6e2c\u5024\u3092\u7b97\u51fa\u3059\u308b\u5834\u5408\u306e\u51e6\u7406\u306f\u3053\u3093\u306a\u611f\u3058<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>prediction = predict_model(final_model, data=forecast1)<\/code><\/pre>\n\n\n\n<p>\u3053\u3053\u3067\u3001\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0&#8221;prediction&#8221;\u306b\u4e88\u6e2c\u5024\u304c\u8ffd\u52a0\u3055\u308c\u308b\u308f\u3051\u3067\u3059\u304c\u3001PyCaret2\u306e\u6642\u306f&#8221;Label&#8221;\u3060\u3063\u305f\u306e\u304c\u3001PyCaret3\u3067\u306f&#8221;prediction_label&#8221;\u306b\u5909\u66f4\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3064\u307e\u308a\u4e88\u6e2c\u5024\u3092\u53c2\u7167\u3059\u308b\u5834\u5408\u306b\u306f prediction[&#8216;prediction_label&#8217;] \u306b\u3057\u306a\u3044\u3068\u3044\u3051\u306a\u3044\u3002<\/p>\n\n\n\n<p>PyCaret3\u306b\u5b8c\u5168\u79fb\u884c\u3059\u308b\u306a\u3089\u3001\u30e9\u30d9\u30eb\u540d\u3092\u5909\u66f4\u3057\u3066\u3057\u307e\u3048\u3070\u3044\u3044\u308f\u3051\u3067\u3059\u304c\u3001\u3069\u3061\u3089\u3067\u3082\u52d5\u304b\u3059\u53ef\u80fd\u6027\u304c\u3042\u308b\u5834\u5408\u306b\u306f\u547c\u3073\u308f\u3051\u304c\u5fc5\u8981\u3002\u4f8b\u3048\u3070\u3053\u3093\u306a\u611f\u3058<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>    is_pycaret3 = version.parse(pycaret.__version__) >= version.parse('3.0.0')\n    if is_pycaret3:\n        logging.debug(\"main: PyCaret\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306f3.0.0\u4ee5\u4e0a\u3067\u3059\u3002\")\n        fcst_label = \"prediction_label\"\n    else:\n        logging.debug(\"main: PyCaret\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u304c3.0.0\u672a\u6e80\u3067\u3059\u3002\")\n        fcst_label = 'Label'\n...\n    # \u4e88\u6e2c\u5024\n    fcst = prediction&#91;fcst_label]<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">setup() \u3067 silent\u304c\u4f7f\u3048\u306a\u3044<\/h2>\n\n\n\n<p>setup()\u95a2\u6570\u3067\u3001silent=True\u304c\u7121\u52b9\u306b\u306a\u3063\u3066\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u5404\u7a2e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u8a55\u4fa1\u3057\u305f\u5f8c\u3001\u6700\u7d42\u5019\u88dc\u3092\u63d0\u793a\u3057\u3066\u3053\u308c\u3067\u884c\u304f\u305e\u3068\u30ea\u30bf\u30fc\u30f3\u30ad\u30fc\u5165\u529b\u3092\u8981\u6c42\u3059\u308b\u3068\u3053\u308d\u3092\u30b9\u30ad\u30c3\u30d7\u3059\u308b\u305f\u3081\u3067\u3057\u305f\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/pycaret.readthedocs.io\/en\/latest\/api\/regression.html#pycaret.regression.setup\">Regression \u2014 pycaret 3.0.4 documentation<\/a><\/p>\n\n\n\n<p>Jupyter notebook\u306a\u3069\u3067\u7d50\u679c\u3092\u78ba\u8a8d\u3057\u306a\u304c\u3089\u8a08\u7b97\u3092\u9032\u3081\u308b\u5834\u5408\u306b\u306f\u7279\u306b\u554f\u984c\u306b\u306a\u3089\u306a\u3044\u3068\u3053\u308d\u3067\u3059\u304c\u3001\u3053\u308c\u3092\u904b\u7528\u3067\u30d0\u30c3\u30c1\u8a08\u7b97\u306a\u3069\u3067\u4f7f\u3046\u5834\u5408\u306b\u306f\u3001\u9014\u4e2d\u3067\u5165\u529b\u5f85\u3061\u3067\u6b62\u307e\u3063\u3066\u3057\u307e\u3046\u308f\u3051\u3067\u3059\u3002\u3053\u308c\u306f\u3088\u308d\u3057\u304f\u306a\u3044\u3002<\/p>\n\n\n\n<p>\u3053\u306e\u30b9\u30a4\u30c3\u30c1\u304cPyCaret3\u3067\u306f\u4e0d\u8981\u306b\u306a\u3063\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002\u8a66\u3057\u305f\u3068\u3053\u308d\u3001\u5358\u7d14\u306b silent =True \u3092\u524a\u9664\u3057\u305f\u3060\u3051\u3067\u8a08\u7b97\u306f\u7d99\u7d9a\u3067\u304d\u305f\u306e\u3067\u3001\u3053\u308c\u306f\u3053\u308c\u3067\u826f\u3044\u306e\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u6642\u7cfb\u5217\u30e2\u30b8\u30e5\u30fc\u30eb\u304c\u8ffd\u52a0\u3055\u308c\u3066\u3044\u308b<\/h2>\n\n\n\n<p>\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306e\u4e88\u6e2c\u3067\u306f\u3001Pycaret2\u3067\u306fregression\u3092\u4f7f\u3063\u3066\u3044\u305f\u308f\u3051\u3067\u3059\u304c\u3001PyCaret3\u3067\u306f\u6642\u7cfb\u5217\u304c\u8ffd\u52a0\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u306a\u306e\u3067\u3001\u5b9a\u756a\u306e\u66f8\u304d\u65b9\u3068\u3057\u3066\u306f<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from pycaret.regression import *<\/code><\/pre>\n\n\n\n<p>\u3068\u3057\u3066\u3001setup()\u306a\u3069\u306ePycaret\u306e\u95a2\u6570\u3092\u66f8\u3044\u3066\u3044\u3063\u305f\u308f\u3051\u3067\u3059\u304c\u3001Pycaret3\u304b\u3089\u306f<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from pycaret.time_series import *<\/code><\/pre>\n\n\n\n<p>\u304c\u4f7f\u3048\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u308b\u6a21\u69d8\u3002\u4e00\u5fdc\u3001\u5f93\u6765\u901a\u308a\u306e\u56de\u5e30\u3067\u3082\u8a08\u7b97\u306f\u51fa\u6765\u308b\u3088\u3046\u306a\u306e\u3067\u3001time_series \u3068\u3057\u3066\u6271\u3063\u305f\u65b9\u304c\u826f\u3044\u9762\u306a\u3069\u306f\u3001\u4eca\u5f8c\u8abf\u3079\u3066\u8a66\u3057\u3066\u307f\u307e\u3059\u3002<br>categorical_features \u306a\u3069\u306ftime_series\u3067\u306f\u7121\u304f\u306a\u3063\u3066\u3044\u308b\u306e\u3067\u3001\u4e92\u63db\u6027\u306f\u8003\u616e\u3055\u308c\u3066\u3044\u308b\u3068\u306f\u3044\u3048\u3001\u5358\u7d14\u306bimport\u6587\u3092\u5909\u3048\u308b\u3060\u3051\u3067\u306f\u30c0\u30e1\u3063\u307d\u3044\u3067\u3059\u306a\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/pycaret\/pycaret\/blob\/master\/tutorials\/Tutorial%20-%20Time%20Series%20Forecasting.ipynb\">pycaret\/tutorials\/Tutorial &#8211; Time Series Forecasting.ipynb at master \u00b7 pycaret\/pycaret (github.com)<\/a><\/p>\n\n\n\n<p>perplexity\u306b\u554f\u3044\u5408\u308f\u305b\u3057\u3066\u307f\u305f\u3089\u3001\u81ea\u52d5\u691c\u51fa\u3059\u308b\u3001\u307e\u305f\u306fpandas\u306eastype(&#8216;category&#8217;)\u3067\u6307\u5b9a\u3059\u308c\u3070OK\u3068\u304b\u8fd4\u3057\u3066\u304d\u305f\u3051\u3069\u672c\u5f53\uff1f\uff1f<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u30a2\u30c3\u30d7\u3092\u3057\u305f\u3089\u3001\u306a\u3093\u304b\u30a8\u30e9\u30fc\u3092\u5410\u304f\u3088\u3046\u306b\u306a\u3063\u305f\u3068\u306e\u3053\u3068\u3067\u3001\u3044\u308d\u3044\u308d\u30e1\u30e2 \u4e88\u6e2c\u5024\u30e9\u30d9\u30eb\u306e\u5909\u66f4 \u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u3092\u884c\u3044\u3001\u6700\u7d42\u7684\u306b\u4e88\u6e2c\u5024\u3092\u7b97\u51fa\u3059\u308b\u5834\u5408\u306e\u51e6\u7406\u306f\u3053\u3093\u306a\u611f\u3058 \u3053\u3053\u3067\u3001\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0&#8221;p [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-2533","post","type-post","status-publish","format-standard","hentry","category-1"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p4rHn0-ER","amp_enabled":true,"_links":{"self":[{"href":"https:\/\/mindtech.jp\/index.php?rest_route=\/wp\/v2\/posts\/2533","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mindtech.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindtech.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindtech.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mindtech.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2533"}],"version-history":[{"count":1,"href":"https:\/\/mindtech.jp\/index.php?rest_route=\/wp\/v2\/posts\/2533\/revisions"}],"predecessor-version":[{"id":2534,"href":"https:\/\/mindtech.jp\/index.php?rest_route=\/wp\/v2\/posts\/2533\/revisions\/2534"}],"wp:attachment":[{"href":"https:\/\/mindtech.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2533"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindtech.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2533"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindtech.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}