{"id":15854,"date":"2024-01-18T00:10:15","date_gmt":"2024-01-17T20:40:15","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/"},"modified":"2024-01-18T00:10:15","modified_gmt":"2024-01-17T20:40:15","slug":"%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/","title":{"rendered":"\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062c\u0633\u062a\u062c\u0648 \u06af\u0631\u06cc\u062f \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#%d9%be%db%8c%d8%b4_%d9%86%db%8c%d8%a7%d8%b2%d9%87%d8%a7\" >\u067e\u06cc\u0634 \u0646\u06cc\u0627\u0632\u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#%d9%86%d8%b5%d8%a8_%d9%88_%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c\" >\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#grid_search_%da%86%db%8c%d8%b3%d8%aa%d8%9f\" >Grid Search \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#%d9%be%db%8c%d8%a7%d8%af%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_%d8%ac%d8%b3%d8%aa%d8%ac%d9%88%db%8c_%d8%b4%d8%a8%da%a9%d9%87\" >\u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062c\u0633\u062a\u062c\u0648\u06cc \u0634\u0628\u06a9\u0647<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d9%85%d8%af%d9%84_%d8%a8%d8%af%d9%88%d9%86_%d8%ac%d8%b3%d8%aa%d8%ac%d9%88%db%8c_%d8%b4%d8%a8%da%a9%d9%87\" >\u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0628\u062f\u0648\u0646 \u062c\u0633\u062a\u062c\u0648\u06cc \u0634\u0628\u06a9\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#%d8%a8%d9%87%db%8c%d9%86%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_%d9%87%d8%a7%db%8c%d9%be%d8%b1%d9%be%d8%a7%d8%b1%d8%a7%d9%85%d8%aa%d8%b1%d9%87%d8%a7_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_grid_search\" >\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Grid Search<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-%d8%a8%d9%87%db%8c%d9%86%d9%87-%d8%b3%d8%a7%d8%b2%db%8c-%d8%ac%d8%b3%d8%aa%d8%ac%d9%88-%da%af%d8%b1%db%8c%d8%af-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 5<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0642\u0635\u062f \u062f\u0627\u0631\u06cc\u0645 \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc (\u06cc\u0627 \u0627\u062a\u0648\u0645\u0627\u0633\u06cc\u0648\u0646) \u0628\u0633\u06cc\u0627\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u06cc\u0639\u0646\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062c\u0633\u062a\u062c\u0648\u06cc \u06af\u0631\u06cc\u062f \u0635\u062d\u0628\u062a \u06a9\u0646\u06cc\u0645.  \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u06cc \u062a\u0646\u0638\u06cc\u0645 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062f\u0631 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0645\u0627 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u06af\u0631\u0641\u062a \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Python \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u0648\u0627\u0642\u0639\u06cc \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0645\u0627 \u062f\u0631 \u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u0647\u062a\u0631\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u062e\u0648\u062f \u0648 \u0628\u0647\u0628\u0648\u062f \u062f\u0642\u062a \u0622\u0646 \u06a9\u0645\u06a9 \u06a9\u0646\u062f.  \u067e\u0633 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645.<\/p>\n<h2 id=\"prerequisites\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4_%d9%86%db%8c%d8%a7%d8%b2%d9%87%d8%a7\"><\/span>\u067e\u06cc\u0634 \u0646\u06cc\u0627\u0632\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u062f\u0646\u0628\u0627\u0644 \u06a9\u0631\u062f\u0646 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u0628\u0627\u06cc\u062f \u062f\u0631\u06a9 \u0627\u0648\u0644\u06cc\u0647 \u0627\u06cc \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u06cc\u0627 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0632\u0628\u0627\u0646 \u0647\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u062f\u06cc\u06af\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.  \u062a\u0631\u062c\u06cc\u062d \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u0627\u0645\u0627 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a\u060c \u06a9\u0647 \u062f\u0627\u0646\u0634 \u0627\u0648\u0644\u06cc\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0646\u06cc\u0632 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f.  \u0628\u0647 \u063a\u06cc\u0631 \u0627\u0632 \u0622\u0646\u060c \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 \u0627\u0633\u062a \u0648 \u0647\u0645\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0622\u0646 \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u06a9\u0646\u0646\u062f.<\/p>\n<h2 id=\"installation\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%b5%d8%a8_%d9%88_%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c\"><\/span>\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u0628\u0627\u06cc\u062f \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\/\u0641\u0631\u06cc\u0645 \u0648\u0631\u06a9 \u0647\u0627\u06cc \u0632\u06cc\u0631 \u0631\u0627 \u062f\u0631 \u0633\u06cc\u0633\u062a\u0645 \u062e\u0648\u062f \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f:<\/p>\n<ol>\n<li><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.python.org\/downloads\/\">\u067e\u0627\u06cc\u062a\u0648\u0646 3<\/a><\/li>\n<li><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/numpy.org\">NumPy<\/a><\/li>\n<li><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pandas.pydata.org\">\u067e\u0627\u0646\u062f\u0627\u0647\u0627<\/a><\/li>\n<li><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/keras.io\">\u06a9\u0631\u0627\u0633<\/a><\/li>\n<li><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/\">Scikit-Learn<\/a><\/li>\n<\/ol>\n<p>\u0646\u0635\u0628 \u0647\u0645\u0647 \u0622\u0646\u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0627\u0633\u062a &#8211; \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06a9\u0644\u06cc\u06a9 \u06a9\u0646\u06cc\u062f \u0631\u0648\u06cc \u0647\u0631 \u06a9\u062f\u0627\u0645 \u0628\u0647 \u0648\u0628 \u0633\u0627\u06cc\u062a \u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637\u0647 \u062e\u0648\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u062f\u0633\u062a\u0648\u0631\u0627\u0644\u0639\u0645\u0644 \u0647\u0627\u06cc \u0646\u0635\u0628 \u062f\u0642\u06cc\u0642 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0628\u0631\u0648\u06cc\u062f.  \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc\u060c \u0628\u0633\u062a\u0647 \u0647\u0627 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0646\u0635\u0628 \u06a9\u0631\u062f pip:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-meta\">$<\/span><span class=\"bash\"> pip install numpy pandas tensorflow keras scikit-learn<\/span>\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0628\u0627 \u0645\u0634\u06a9\u0644\u06cc \u0645\u0648\u0627\u062c\u0647 \u0634\u062f\u06cc\u062f\u060c \u0644\u0637\u0641\u0627\u064b \u0628\u0647 \u0627\u0633\u0646\u0627\u062f \u0631\u0633\u0645\u06cc \u0647\u0631 \u0628\u0633\u062a\u0647 \u0645\u0631\u0627\u062c\u0639\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 id=\"whatisgridsearch\"><span class=\"ez-toc-section\" id=\"grid_search_%da%86%db%8c%d8%b3%d8%aa%d8%9f\"><\/span>Grid Search \u0686\u06cc\u0633\u062a\u061f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062c\u0633\u062a\u062c\u0648\u06cc \u06af\u0631\u06cc\u062f \u0627\u0633\u0627\u0633\u0627\u064b \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u0628\u0647\u062a\u0631\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u0633\u0626\u0644\u0647 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u062e\u0648\u062f \u0627\u0632 \u0641\u0647\u0631\u0633\u062a\u06cc \u0627\u0632 \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u06cc \u06a9\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u062f\u0647\u06cc\u062f \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0631\u0648\u0634 \u0622\u0632\u0645\u0648\u0646 \u0648 \u062e\u0637\u0627 \u0631\u0627 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f.  \u0627\u06af\u0631\u0686\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0645\u0633\u0627\u0626\u0644 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0627\u0639\u0645\u0627\u0644 \u06a9\u0631\u062f\u060c \u0627\u0645\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u062f\u0644 \u0628\u0647\u062a\u0631\u06cc\u0646 \u062f\u0642\u062a \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f\u060c \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0641\u0631\u0636 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u062f\u0644 \u0634\u0645\u0627 \u0633\u0647 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<ol>\n<li>\u062a\u0639\u062f\u0627\u062f \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u067e\u0646\u0647\u0627\u0646 (2\u060c 4)<\/li>\n<li>\u062a\u0639\u062f\u0627\u062f \u0646\u0648\u0631\u0648\u0646 \u0647\u0627 \u062f\u0631 \u0647\u0631 \u0644\u0627\u06cc\u0647 (5\u060c 10)<\/li>\n<li>\u062a\u0639\u062f\u0627\u062f \u062f\u0648\u0631\u0647 \u0647\u0627 (10\u060c 50)<\/li>\n<\/ol>\n<p>\u0627\u06af\u0631 \u0628\u0631\u0627\u06cc \u0647\u0631 \u0648\u0631\u0648\u062f\u06cc \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0648 \u06af\u0632\u06cc\u0646\u0647 \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u0645 (\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u067e\u0631\u0627\u0646\u062a\u0632\u0647\u0627\u06cc \u0645\u0631\u0628\u0639 \u0628\u0627\u0644\u0627 \u0630\u06a9\u0631 \u0634\u062f)\u060c \u062f\u0631 \u0645\u062c\u0645\u0648\u0639 \u062a\u0627 2 \u0645\u06cc\u200c\u0634\u0648\u062f.<sup>3<\/sup>=8 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u062e\u062a\u0644\u0641 (\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u06cc\u06a9 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u0645\u06a9\u0646 (2\u060c5\u060c10) \u0627\u0633\u062a).  \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0633\u062a\u06cc \u0633\u0631\u062f\u0631\u062f \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<p>\u062d\u0627\u0644\u0627 \u062a\u0635\u0648\u0631 \u06a9\u0646\u06cc\u062f \u06a9\u0647 10 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0648\u0631\u0648\u062f\u06cc \u0645\u062e\u062a\u0644\u0641 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645 \u0648 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 5 \u0645\u0642\u062f\u0627\u0631 \u0645\u0645\u06a9\u0646 \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u0645.  \u0647\u0631 \u0628\u0627\u0631 \u06a9\u0647 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u0642\u062f\u0627\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645\u060c \u06a9\u062f \u0631\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645 \u0648 \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u067e\u06cc\u06af\u06cc\u0631\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0628\u0647 \u0648\u0631\u0648\u062f\u06cc \u062f\u0633\u062a\u06cc \u0627\u0632 \u0637\u0631\u0641 \u0645\u0627 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f.  Grid Search \u0622\u0646 \u0631\u0627 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f process\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0645\u06a9\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u06a9\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0647\u0645\u0647 \u062a\u0631\u06a9\u06cc\u0628 \u0647\u0627\u06cc \u0645\u0645\u06a9\u0646 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0646\u062a\u06cc\u062c\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062a\u0631\u06a9\u06cc\u0628 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u062f \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0631\u0627 \u06a9\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u062f\u0642\u062a \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u0631\u0627 \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062f\u0647\u062f.  \u0645\u0641\u06cc\u062f \u0627\u0633\u062a\u060c \u0646\u0647\u061f<\/p>\n<h2 id=\"gridsearchimplementation\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%a7%d8%af%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_%d8%ac%d8%b3%d8%aa%d8%ac%d9%88%db%8c_%d8%b4%d8%a8%da%a9%d9%87\"><\/span>\u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062c\u0633\u062a\u062c\u0648\u06cc \u0634\u0628\u06a9\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062e\u0648\u0628\u060c \u0635\u062d\u0628\u062a \u06a9\u0627\u0641\u06cc \u0627\u0633\u062a.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u062c\u0633\u062a\u062c\u0648\u06cc \u06af\u0631\u06cc\u062f \u0631\u0627 \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u0648\u0627\u0642\u0639\u06cc  \u0628\u062d\u062b \u062f\u0631 \u0645\u0648\u0631\u062f \u0628\u062e\u0634 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u062e\u0627\u0631\u062c \u0627\u0632 \u0645\u062d\u062f\u0648\u062f\u0647 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u06a9\u062f \u0622\u0646 \u0631\u0627 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u062f\u0631 \u0645\u0648\u0631\u062f \u0628\u062e\u0634\u06cc \u06a9\u0647 Grid Search \u0648\u0627\u0631\u062f \u0645\u06cc \u0634\u0648\u062f \u0628\u0647 \u0637\u0648\u0631 \u0639\u0645\u06cc\u0642 \u0635\u062d\u0628\u062a \u0645\u06cc \u06a9\u0646\u06cc\u0645. \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645!<\/p>\n<p>\u0645\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 Pima Indian Diabetes \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u06a9\u0647 \u062d\u0627\u0648\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u062f\u0631\u0628\u0627\u0631\u0647 \u062f\u06cc\u0627\u0628\u062a\u06cc \u0628\u0648\u062f\u0646 \u06cc\u0627 \u0646\u0628\u0648\u062f\u0646 \u06cc\u06a9 \u0628\u06cc\u0645\u0627\u0631 \u0627\u0633\u062a \u0631\u0648\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0627\u0646\u0646\u062f \u063a\u0644\u0638\u062a \u06af\u0644\u0648\u06a9\u0632 \u062e\u0648\u0646\u060c \u0641\u0634\u0627\u0631 \u062e\u0648\u0646\u060c \u0648 \u063a\u06cc\u0631\u0647. \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u0646\u062f\u0627 <code>read_csv()<\/code> \u0631\u0648\u0634 \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0637\u0648\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645 import \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0645\u0646\u0628\u0639 \u0622\u0646\u0644\u0627\u06cc\u0646<\/p>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0631\u0627 \u0648\u0627\u0631\u062f \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> GridSearchCV, KFold\n<span class=\"hljs-keyword\">from<\/span> keras.models <span class=\"hljs-keyword\">import<\/span> Sequential\n<span class=\"hljs-keyword\">from<\/span> keras.layers <span class=\"hljs-keyword\">import<\/span> Dense, Dropout\n<span class=\"hljs-keyword\">from<\/span> keras.wrappers.scikit_learn <span class=\"hljs-keyword\">import<\/span> KerasClassifier\n<span class=\"hljs-keyword\">from<\/span> keras.optimizers <span class=\"hljs-keyword\">import<\/span> Adam\n<span class=\"hljs-keyword\">import<\/span> sys\n<span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<\/code><\/pre>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0633\u0631\u0635\u0641\u062d\u0647 \u0633\u062a\u0648\u0646 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"hljs\">columns = (<span class=\"hljs-string\">'num_pregnant'<\/span>, <span class=\"hljs-string\">'glucose_concentration'<\/span>, <span class=\"hljs-string\">'blood_pressure'<\/span>, <span class=\"hljs-string\">'skin_thickness'<\/span>,\n           <span class=\"hljs-string\">'serum_insulin'<\/span>, <span class=\"hljs-string\">'BMI'<\/span>, <span class=\"hljs-string\">'pedigree_function'<\/span>, <span class=\"hljs-string\">'age'<\/span>, <span class=\"hljs-string\">'class'<\/span>)\n\ndata_path = <span class=\"hljs-string\">\"https:\/\/raw.githubusercontent.com\/mkhalid1\/Machine-Learning-Projects-Python-\/master\/Grid%20Search\/pima-indians-diabetes.csv\"<\/span>\n\ndf = pd.read_csv(data_path, names=columns)\n<\/code><\/pre>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 5 \u0631\u062f\u06cc\u0641 \u0627\u0648\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">df.head()\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/optimization-algorithm-grid-search-in-Python-1.PNG\" alt=\"\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u06cc\u0627\u0628\u062a\" title=\"\"><\/p>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f\u060c \u0627\u06cc\u0646 5 \u0633\u0637\u0631 \u0647\u0645\u06af\u06cc \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u062a\u0648\u0635\u06cc\u0641 \u0647\u0631 \u0633\u062a\u0648\u0646 \u0647\u0633\u062a\u0646\u062f (\u062f\u0631 \u0648\u0627\u0642\u0639 9 \u0645\u0648\u0631\u062f \u0627\u0632 \u0622\u0646\u0647\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f)\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0647\u06cc\u0686 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0628\u0631\u0627\u06cc \u0645\u0627 \u0646\u062f\u0627\u0631\u0646\u062f.  \u0645\u0627 \u0628\u0627 \u062d\u0630\u0641 \u0627\u06cc\u0646 \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc \u063a\u06cc\u0631 \u062f\u0627\u062f\u0647 \u0627\u06cc \u0634\u0631\u0648\u0639 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0633\u067e\u0633 \u0647\u0645\u0647 \u0622\u0646\u0647\u0627 \u0631\u0627 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>NaN<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631 \u0628\u0627 0:<\/p>\n<pre><code class=\"hljs\">\ndf = df.iloc(<span class=\"hljs-number\">9<\/span>:)\n\n\n<span class=\"hljs-keyword\">for<\/span> col <span class=\"hljs-keyword\">in<\/span> columns:\n    df(col).replace(<span class=\"hljs-number\">0<\/span>, np.NaN, inplace=<span class=\"hljs-literal\">True<\/span>)\n\ndf.dropna(inplace=<span class=\"hljs-literal\">True<\/span>) \ndataset = df.values \n<\/code><\/pre>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0631\u0627 \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647:<\/p>\n<pre><code class=\"hljs\">X = dataset(:,<span class=\"hljs-number\">0<\/span>:<span class=\"hljs-number\">8<\/span>)\nY = dataset(:, <span class=\"hljs-number\">8<\/span>).astype(<span class=\"hljs-built_in\">int<\/span>)\n\n\n<span class=\"hljs-keyword\">from<\/span> sklearn.preprocessing <span class=\"hljs-keyword\">import<\/span> StandardScaler\n\nscaler = StandardScaler().fit(X)\n\n\nX_standardized = scaler.transform(X)\n\ndata = pd.DataFrame(X_standardized)\n<\/code><\/pre>\n<p>\u0631\u0648\u0634 \u0632\u06cc\u0631 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0633\u0627\u062f\u0647 \u0645\u0627 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">create_model<\/span>(<span class=\"hljs-params\">learn_rate, dropout_rate<\/span>):<\/span>\n    \n    model = Sequential()\n    model.add(Dense(<span class=\"hljs-number\">8<\/span>, input_dim=<span class=\"hljs-number\">8<\/span>, kernel_initializer=<span class=\"hljs-string\">'normal'<\/span>, activation=<span class=\"hljs-string\">'relu'<\/span>))\n    model.add(Dropout(dropout_rate))\n    model.add(Dense(<span class=\"hljs-number\">4<\/span>, input_dim=<span class=\"hljs-number\">8<\/span>, kernel_initializer=<span class=\"hljs-string\">'normal'<\/span>, activation=<span class=\"hljs-string\">'relu'<\/span>))\n    model.add(Dropout(dropout_rate))\n    model.add(Dense(<span class=\"hljs-number\">1<\/span>, activation=<span class=\"hljs-string\">'sigmoid'<\/span>))\n\n    \n    adam = Adam(lr=learn_rate)\n    model.<span class=\"hljs-built_in\">compile<\/span>(loss=<span class=\"hljs-string\">'binary_crossentropy'<\/span>, optimizer=adam, metrics=(<span class=\"hljs-string\">'accuracy'<\/span>))\n    <span class=\"hljs-keyword\">return<\/span> model\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u062a\u0645\u0627\u0645 \u06a9\u062f\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0622\u0646 \u0648 \u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062e\u0648\u062f \u0628\u0627\u06cc\u062f \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u0641\u0642\u0637 \u0639\u0644\u0627\u0642\u0647 \u0645\u0646\u062f \u0628\u0647 \u062f\u06cc\u062f\u0646 \u0639\u0645\u0644\u06a9\u0631\u062f Grid Search \u0647\u0633\u062a\u06cc\u0645\u060c \u0645\u0646 \u062a\u0642\u0633\u06cc\u0645 \u0642\u0637\u0627\u0631\/\u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0646\u062f\u0627\u062f\u0647 \u0627\u0645 \u0648 \u0645\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0627\u0632\u0634 \u06a9\u0646\u06cc\u0645. \u0631\u0648\u06cc \u06a9\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/p>\n<p>\u062f\u0631 \u0628\u062e\u0634 \u0628\u0639\u062f\u06cc \u0634\u0631\u0648\u0639 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 Grid Search \u0628\u0627 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc\u0645\u0627\u0646 \u0632\u0646\u062f\u06af\u06cc \u0645\u0627 \u0631\u0627 \u0622\u0633\u0627\u0646\u200c\u062a\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n<h3 id=\"trainingthemodelwithoutgridsearch\"><span class=\"ez-toc-section\" id=\"%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d9%85%d8%af%d9%84_%d8%a8%d8%af%d9%88%d9%86_%d8%ac%d8%b3%d8%aa%d8%ac%d9%88%db%8c_%d8%b4%d8%a8%da%a9%d9%87\"><\/span>\u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0628\u062f\u0648\u0646 \u062c\u0633\u062a\u062c\u0648\u06cc \u0634\u0628\u06a9\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u06a9\u062f \u0632\u06cc\u0631\u060c \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u06cc \u06a9\u0647 \u062a\u0635\u0645\u06cc\u0645 \u06af\u0631\u0641\u062a\u06cc\u0645 \u0627\u06cc\u062c\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0631\u0648\u06cc \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u06cc\u0627 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0631\u0648\u06cc \u0634\u0647\u0648\u062f \u0645\u0627\u060c \u0648 \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0645\u062f\u0644 \u0645\u0627 \u0686\u06af\u0648\u0646\u0647 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">\ndropout_rate = <span class=\"hljs-number\">0.1<\/span>\nepochs = <span class=\"hljs-number\">1<\/span>\nbatch_size = <span class=\"hljs-number\">20<\/span>\nlearn_rate = <span class=\"hljs-number\">0.001<\/span>\n\n\nmodel = create_model(learn_rate, dropout_rate)\n\n\nmodel.fit(X_standardized, Y, batch_size=batch_size, epochs=epochs, verbose=<span class=\"hljs-number\">1<\/span>)\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">Epoch 1\/1\n130\/130 (==============================) - 0s 2ms\/step - loss: 0.6934 - accuracy: 0.6000\n<\/code><\/pre>\n<p>\u062f\u0642\u062a\u06cc \u06a9\u0647 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u06cc\u0645\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f\u060c \u0627\u06cc\u0646 \u0627\u0633\u062a <code>60.00%<\/code>.  \u0627\u06cc\u0646 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0645 \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u062c\u0627\u06cc \u0646\u06af\u0631\u0627\u0646\u06cc \u0646\u06cc\u0633\u062a!  \u0645\u0627 \u0647\u0646\u0648\u0632 Grid Search \u0631\u0627 \u062f\u0627\u0631\u06cc\u0645 \u062a\u0627 \u0633\u0639\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0648\u0632 \u0631\u0627 \u0646\u062c\u0627\u062a \u062f\u0647\u06cc\u0645.  \u067e\u0633 \u0627\u062c\u0627\u0632\u0647 \u0628\u062f\u0647\u06cc\u062f \u0628\u0647 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0628\u0631\u0633\u06cc\u0645.<\/p>\n<h3 id=\"optimizinghyperparametersusinggridsearch\"><span class=\"ez-toc-section\" id=\"%d8%a8%d9%87%db%8c%d9%86%d9%87_%d8%b3%d8%a7%d8%b2%db%8c_%d9%87%d8%a7%db%8c%d9%be%d8%b1%d9%be%d8%a7%d8%b1%d8%a7%d9%85%d8%aa%d8%b1%d9%87%d8%a7_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_grid_search\"><\/span>\u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Grid Search<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u06af\u0631 \u0627\u0632 Grid Search \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0646\u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0627 \u0622\u0646 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>fit()<\/code> \u0631\u0648\u0634 \u0631\u0648\u06cc \u0645\u062f\u0644\u06cc \u06a9\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Grid Search\u060c \u0628\u0627\u06cc\u062f \u0628\u0631\u062e\u06cc \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0631\u0627 \u0628\u0647 \u062e\u0648\u062f \u0645\u0646\u062a\u0642\u0644 \u06a9\u0646\u06cc\u0645 <code>create_model()<\/code> \u062a\u0627\u0628\u0639.  \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u0634\u0628\u06a9\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u0645\u060c \u0627\u0639\u0644\u0627\u0645 \u06a9\u0646\u06cc\u0645.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062c\u0632\u0626\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0627\u0628\u062a\u062f\u0627 \u0645\u0627 \u062e\u0648\u062f \u0631\u0627 \u0627\u0635\u0644\u0627\u062d \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>create_model()<\/code> \u062a\u0627\u0628\u0639 \u0628\u0631\u0627\u06cc \u067e\u0630\u06cc\u0631\u0634 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0627\u0632 \u062a\u0627\u0628\u0639 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">create_model<\/span>(<span class=\"hljs-params\">learn_rate, dropout_rate<\/span>):<\/span>\n    \n    model = Sequential()\n    model.add(Dense(<span class=\"hljs-number\">8<\/span>, input_dim=<span class=\"hljs-number\">8<\/span>, kernel_initializer=<span class=\"hljs-string\">'normal'<\/span>, activation=<span class=\"hljs-string\">'relu'<\/span>))\n    model.add(Dropout(dropout_rate))\n    model.add(Dense(<span class=\"hljs-number\">4<\/span>, input_dim=<span class=\"hljs-number\">8<\/span>, kernel_initializer=<span class=\"hljs-string\">'normal'<\/span>, activation=<span class=\"hljs-string\">'relu'<\/span>))\n    model.add(Dropout(dropout_rate))\n    model.add(Dense(<span class=\"hljs-number\">1<\/span>, activation=<span class=\"hljs-string\">'sigmoid'<\/span>))\n\n    \n    adam = Adam(lr=learn_rate)\n    model.<span class=\"hljs-built_in\">compile<\/span>(loss=<span class=\"hljs-string\">'binary_crossentropy'<\/span>, optimizer=adam, metrics=(<span class=\"hljs-string\">'accuracy'<\/span>))\n    <span class=\"hljs-keyword\">return<\/span> model\n\n\nmodel = KerasClassifier(build_fn=create_model, verbose=<span class=\"hljs-number\">1<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0645\u0627 \u0622\u0645\u0627\u062f\u0647 \u0627\u06cc\u0645 \u062a\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062c\u0633\u062a\u062c\u0648\u06cc \u06af\u0631\u06cc\u062f \u062e\u0648\u062f \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0645\u062a\u0646\u0627\u0633\u0628 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0622\u06cc \u062a\u06cc:<\/p>\n<pre><code class=\"hljs\">\n\nlearn_rate = (<span class=\"hljs-number\">0.001<\/span>, <span class=\"hljs-number\">0.02<\/span>, <span class=\"hljs-number\">0.2<\/span>)\ndropout_rate = (<span class=\"hljs-number\">0.0<\/span>, <span class=\"hljs-number\">0.2<\/span>, <span class=\"hljs-number\">0.4<\/span>)\nbatch_size = (<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">20<\/span>, <span class=\"hljs-number\">30<\/span>)\nepochs = (<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">10<\/span>)\n\nseed = <span class=\"hljs-number\">42<\/span>\n\n\nparam_grid = <span class=\"hljs-built_in\">dict<\/span>(learn_rate=learn_rate, dropout_rate=dropout_rate, batch_size=batch_size, epochs=epochs )\n\n\ngrid = GridSearchCV(estimator=model, param_grid=param_grid,\n                    cv=KFold(random_state=seed), verbose=<span class=\"hljs-number\">10<\/span>)\n\ngrid_results = grid.fit(X_standardized, Y)\n\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Best: {0}, using {1}\"<\/span>.<span class=\"hljs-built_in\">format<\/span>(grid_results.best_score_, grid_results.best_params_))\n\nmeans = grid_results.cv_results_(<span class=\"hljs-string\">'mean_test_score'<\/span>)\nstds = grid_results.cv_results_(<span class=\"hljs-string\">'std_test_score'<\/span>)\nparams = grid_results.cv_results_(<span class=\"hljs-string\">'params'<\/span>)\n\n<span class=\"hljs-keyword\">for<\/span> mean, stdev, param <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>(means, stds, params):\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'{0} ({1}) with: {2}'<\/span>.<span class=\"hljs-built_in\">format<\/span>(mean, stdev, param))\n<\/code><\/pre>\n<p><strong>\u062e\u0631\u0648\u062c\u06cc:<\/strong><\/p>\n<pre><code class=\"hljs\">Best: 0.7959183612648322, using {'batch_size': 10, 'dropout_rate': 0.2, 'epochs': 10, 'learn_rate': 0.02}\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u062a\u0631\u06a9\u06cc\u0628 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0631\u0627 \u0628\u0647 \u0645\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u062f\u0642\u062a \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc\u200c\u062f\u0647\u062f.<\/p>\n<p>\u0628\u0647 \u062c\u0631\u0627\u062a \u0645\u06cc \u062a\u0648\u0627\u0646 \u06af\u0641\u062a \u06a9\u0647 Grid Search \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0642\u0627\u0628\u0644 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0628\u0648\u062f \u0648 \u0627\u0632 \u0646\u0638\u0631 \u0646\u06cc\u0631\u0648\u06cc \u0627\u0646\u0633\u0627\u0646\u06cc \u062f\u0631 \u0632\u0645\u0627\u0646 \u0645\u0627 \u0635\u0631\u0641\u0647 \u062c\u0648\u06cc\u06cc \u0632\u06cc\u0627\u062f\u06cc \u06a9\u0631\u062f.  \u0634\u0645\u0627 \u0641\u0642\u0637 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0645\u0627\u0645 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f \u0641\u0647\u0631\u0633\u062a \u06a9\u0646\u06cc\u062f\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0648\u0631\u062f \u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0627 \u0627\u0639\u0644\u0627\u0645 \u06a9\u0646\u06cc\u062f\u060c \u06a9\u062f \u062e\u0648\u062f \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f \u0648 \u0622\u0646 \u0631\u0627 \u0641\u0631\u0627\u0645\u0648\u0634 \u06a9\u0646\u06cc\u062f.  \u0647\u06cc\u0686 \u0648\u0631\u0648\u062f\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u0627\u0632 \u0637\u0631\u0641 \u0634\u0645\u0627 \u0644\u0627\u0632\u0645 \u0646\u06cc\u0633\u062a.  \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u062a\u0631\u06a9\u06cc\u0628 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u067e\u06cc\u062f\u0627 \u0634\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0646\u0647\u0627\u06cc\u06cc \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u062e\u0644\u0627\u0635\u0647\u060c \u0645\u0627 \u06cc\u0627\u062f \u06af\u0631\u0641\u062a\u06cc\u0645 \u06a9\u0647 Grid Search \u0686\u06cc\u0633\u062a\u060c \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0645\u0627 \u062f\u0631 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0644\u0645\u0627\u0646 \u0648 \u0645\u0632\u0627\u06cc\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0627\u062a\u0648\u0645\u0627\u0633\u06cc\u0648\u0646 \u0628\u0647 \u0645\u0627 \u06a9\u0645\u06a9 \u06a9\u0646\u062f.  \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646\u060c \u0645\u0627 \u06cc\u0627\u062f \u06af\u0631\u0641\u062a\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0686\u0646\u062f \u062e\u0637 \u06a9\u062f \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0632\u0628\u0627\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0627\u062b\u0631\u0628\u062e\u0634\u06cc \u0622\u0646\u060c \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u06cc\u06a9 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0631\u0627 \u0628\u0627 \u0648 \u0628\u062f\u0648\u0646 \u0627\u0646\u062c\u0627\u0645 Grid Search \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u06cc\u0645 \u0648 \u062f\u0642\u062a \u0628\u0627 Grid Search 19\u066a \u0628\u06cc\u0634\u062a\u0631 \u0628\u0648\u062f.<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-18 00:10:05<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;15854&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062c\u0633\u062a\u062c\u0648 \u06af\u0631\u06cc\u062f \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 5<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0642\u0635\u062f \u062f\u0627\u0631\u06cc\u0645 \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc (\u06cc\u0627 \u0627\u062a\u0648\u0645\u0627\u0633\u06cc\u0648\u0646) \u0628\u0633\u06cc\u0627\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u06cc\u0639\u0646\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062c\u0633\u062a\u062c\u0648\u06cc \u06af\u0631\u06cc\u062f \u0635\u062d\u0628\u062a \u06a9\u0646\u06cc\u0645. \u0628\u06cc\u0634\u062a\u0631 \u0628\u0631\u0627\u06cc \u062a\u0646\u0638\u06cc\u0645 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062f\u0631 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0645\u0627 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u06af\u0631\u0641\u062a \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Python \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u06cc\u06a9 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":15855,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-15854","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/15854","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=15854"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/15854\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/15855"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=15854"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=15854"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=15854"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}