{"id":16646,"date":"2024-01-28T20:02:40","date_gmt":"2024-01-28T16:32:40","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86\/"},"modified":"2024-01-28T20:02:40","modified_gmt":"2024-01-28T16:32:40","slug":"%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86\/","title":{"rendered":"\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0622\u0628 \u0648 \u0647\u0648\u0627: \u0642\u0633\u0645\u062a 3"},"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%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86\/#%d8%a2%d8%b4%d9%86%d8%a7%db%8c%db%8c_%d8%a8%d8%a7_%d9%86%d8%b8%d8%b1%db%8c%d9%87_%d8%b4%d8%a8%da%a9%d9%87_%d9%87%d8%a7%db%8c_%d8%b9%d8%b5%d8%a8%db%8c_%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c\" >\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0646\u0638\u0631\u06cc\u0647 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\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%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86\/#api_%d8%a8%d8%b1%d8%a2%d9%88%d8%b1%d8%af%da%af%d8%b1_%d8%b3%d8%b7%d8%ad_%d8%a8%d8%a7%d9%84%d8%a7_tensorflow\" >API \u0628\u0631\u0622\u0648\u0631\u062f\u06af\u0631 \u0633\u0637\u062d \u0628\u0627\u0644\u0627 TensorFlow<\/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%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86\/#%d8%b3%d8%a7%d8%ae%d8%aa_%db%8c%da%a9_dnnregressor_%d8%a8%d8%b1%d8%a7%db%8c_%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d8%a2%d8%a8_%d9%88_%d9%87%d9%88%d8%a7\" >\u0633\u0627\u062e\u062a \u06cc\u06a9 DNNRegressor \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0622\u0628 \u0648 \u0647\u0648\u0627<\/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%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86\/#%d9%85%d9%86%d8%a7%d8%a8%d8%b9\" >\u0645\u0646\u0627\u0628\u0639<\/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%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c-%d8%a8%d8%b1%d8%a7%db%8c-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86\/#%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\"> 16<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<p>\u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u0631\u0648\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062f\u0645\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0628 \u0648 \u0647\u0648\u0627\u06cc \u0647\u0648\u0627\u0634\u0646\u0627\u0633\u06cc \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0634\u062f\u0647 \u0627\u0632 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.wunderground.com\/\" class=\"broken_link\">\u0622\u0628 \u0648 \u0647\u0648\u0627 \u0632\u06cc\u0631\u0632\u0645\u06cc\u0646\u06cc<\/a> \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0642\u0633\u0645\u062a \u0627\u0648\u0644 \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0648\u0636\u06cc\u062d \u062f\u0627\u062f\u0647 \u0634\u062f.<\/p>\n<p>\u0645\u0648\u0636\u0648\u0639 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0646\u0647\u0627\u06cc\u06cc \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Google&#8217;s Open \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f Source <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.tensorflow.org\/\" class=\"broken_link\">TensorFlow<\/a> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647  \u0628\u0631\u0627\u06cc \u0622\u0634\u0646\u0627\u06cc\u06cc \u06a9\u0644\u06cc \u0628\u0627 TensorFlow \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u062d\u062b \u062f\u0631 \u0645\u0648\u0631\u062f \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0646\u0635\u0628\u060c \u0644\u0637\u0641\u0627\u064b \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc TensorFlow \u067e\u0633\u062a \u0639\u0627\u0644\u06cc Mihajlo Pavloski \u0645\u0631\u0627\u062c\u0639\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0645\u0648\u0636\u0648\u0639\u0627\u062a\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0622\u0646\u0647\u0627 \u062e\u0648\u0627\u0647\u0645 \u067e\u0631\u062f\u0627\u062e\u062a \u0639\u0628\u0627\u0631\u062a\u0646\u062f \u0627\u0632:<\/p>\n<ul>\n<li>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0646\u0638\u0631\u06cc\u0647 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc<\/li>\n<li>API \u0628\u0631\u0622\u0648\u0631\u062f\u06af\u0631 \u0633\u0637\u062d \u0628\u0627\u0644\u0627 TensorFlow<\/li>\n<li>\u0633\u0627\u062e\u062a \u06cc\u06a9 DNNRegressor \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0622\u0628 \u0648 \u0647\u0648\u0627<\/li>\n<\/ul>\n<h2 id=\"understandingartificialneuralnetworkstheory\"><span class=\"ez-toc-section\" id=\"%d8%a2%d8%b4%d9%86%d8%a7%db%8c%db%8c_%d8%a8%d8%a7_%d9%86%d8%b8%d8%b1%db%8c%d9%87_%d8%b4%d8%a8%da%a9%d9%87_%d9%87%d8%a7%db%8c_%d8%b9%d8%b5%d8%a8%db%8c_%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c\"><\/span>\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0646\u0638\u0631\u06cc\u0647 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0622\u062e\u0631\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 (\u0642\u0633\u0645\u062a 2) \u0645\u0646 \u062a\u0648\u0636\u06cc\u062d \u062f\u0627\u062f\u0645 process \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc\u060c \u06cc\u06a9 \u062a\u06a9\u0646\u06cc\u06a9 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0627\u0631\u062c\u0645\u0646\u062f \u06a9\u0647 \u0632\u06cc\u0631\u0628\u0646\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631\u06cc \u062f\u06cc\u06af\u0631 \u0627\u0633\u062a\u060c \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062f\u0645\u0627\u06cc \u0631\u0648\u0632\u0627\u0646\u0647 \u062f\u0631 \u0644\u06cc\u0646\u06a9\u0644\u0646\u060c \u0646\u0628\u0631\u0627\u0633\u06a9\u0627.  \u0645\u062f\u0644 \u0647\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0647\u0633\u062a\u0646\u062f \u0648 \u0627\u0632 \u0632\u0645\u0627\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0642\u0628\u0644 \u0627\u0632 \u0627\u0628\u062f\u0627\u0639 \u0627\u0635\u0637\u0644\u0627\u062d &#8220;\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc&#8221; \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u0642\u0648\u0644\u0647 \u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u06cc\u0646 \u062a\u06a9\u0646\u06cc\u06a9 \u0627\u0646\u062a\u0642\u0627\u062f\u0627\u062a\u06cc \u062f\u0627\u0631\u062f\u060c \u0639\u0645\u062f\u062a\u0627\u064b \u062f\u0631 \u0645\u0648\u0631\u062f \u0641\u0631\u0636 \u062e\u0637\u06cc \u0622\u0646 \u0627\u0632 \u0631\u0627\u0628\u0637\u0647 \u062e\u0637\u06cc \u0628\u06cc\u0646 \u0645\u062a\u063a\u06cc\u0631 \u0648\u0627\u0628\u0633\u062a\u0647 \u0648 \u0645\u062a\u063a\u06cc\u0631(\u0647\u0627\u06cc) \u0645\u0633\u062a\u0642\u0644.<\/p>\n<p>\u062a\u0639\u062f\u0627\u062f \u0628\u06cc \u0634\u0645\u0627\u0631\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u062f\u0631 \u0635\u0646\u0639\u062a \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u0641\u0631\u0636 \u062e\u0637\u06cc \u0628\u0648\u062f\u0646 \u063a\u0644\u0628\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u062d\u0628\u0648\u0628\u200c\u062a\u0631\u06cc\u0646 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc \u062a\u0645\u0631\u06a9\u0632 \u062f\u0631 \u0633\u0627\u0644\u200c\u0647\u0627\u06cc \u0627\u062e\u06cc\u0631\u060c \u0627\u0639\u0645\u0627\u0644 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Artificial_neural_network\">\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc<\/a> \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0645\u0634\u06a9\u0644\u0627\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646.  \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0631\u0648\u0634\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0622\u0646 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\u0627\u0633\u062a <strong>Fn (&#8230;)<\/strong>.  \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0648\u06cc\u0698\u0647 \u06a9\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u063a\u06cc\u0631 \u062e\u0637\u06cc \u0631\u0627 \u0648\u0627\u0631\u062f \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u06cc \u06a9\u0646\u062f\u060c an \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Activation_function\">\u0639\u0645\u0644\u06a9\u0631\u062f \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc<\/a>.  \u0627\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u063a\u06cc\u0631 \u062e\u0637\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062a\u0648\u0633\u0637 \u062a\u0648\u0627\u0628\u0639 \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc 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\u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647\u060c \u062e\u0631\u0648\u062c\u06cc \u0645\u062f\u0644 &#8220;y&#8221; \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u0627\u0642\u0639\u06cc \u0645\u0648\u0631\u062f \u0627\u0646\u062a\u0638\u0627\u0631 (\u0647\u062f\u0641 \u0647\u0627) \u0648 \u0627\u0646\u062c\u0627\u0645 \u06cc\u06a9 \u0633\u0631\u06cc \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0628\u0631\u0627\u06cc \u0648\u0632\u0646 \u0647\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u06a9\u0644\u06cc\u062a \u0631\u0627 \u0628\u0647\u0628\u0648\u062f \u0628\u062e\u0634\u062f. \u062f\u0642\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc<\/p>\n<p>\u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u06af\u0631\u0633\u06cc\u0648\u0631\u060c \u062f\u0642\u062a \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 (\u0628\u0627 \u0646\u0627\u0645 \u0645\u0633\u062a\u0639\u0627\u0631 &#8220;\u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646&#8221; \u06cc\u0627 &#8220;\u0647\u062f\u0641&#8221;) \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645. <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Residual_sum_of_squares\">\u0645\u062c\u0645\u0648\u0639 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627\u0647\u0627<\/a> (SSE).  \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u0646 \u0627\u06cc\u0646 \u0639\u0628\u0627\u0631\u062a \u0631\u0627 \u0628\u0647 \u06a9\u0644 \u067e\u06cc\u0648\u0633\u062a\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062a\u0639\u0645\u06cc\u0645 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\u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u0627 \u062f\u0642\u06cc\u0642\u0627\u064b \u0647\u0645\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f.  \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u062f\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u06cc\u0698\u06af\u06cc \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f (\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 SSE) \u0648 \u0648\u0632\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0647 \u06af\u0648\u0646\u0647\u200c\u0627\u06cc \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 \u0631\u0627 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0628\u0631\u0633\u0627\u0646\u062f.  \u0627\u06cc\u0646 process \u0641\u0634\u0627\u0631 \u062f\u0627\u062f\u0646 \u0645\u06a9\u0631\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0631\u0648\u0634 \u062a\u0646\u0638\u06cc\u0645 \u0648\u0632\u0646 \u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647\u060c \u062f\u0631 \u0627\u0635\u0644 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0644 \u0634\u0646\u0627\u062e\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0644 \u062f\u0631 \u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0642\u0648\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0647\u0633\u062a\u0646\u062f.  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 (\u06cc\u0639\u0646\u06cc \u0639\u0631\u0636 \u0648 \u0639\u0645\u0642) \u062a\u063a\u0630\u06cc\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f \u0648 \u0633\u067e\u0633 \u062f\u0631 \u0628\u0631\u0627\u0628\u0631 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u0648\u0632\u0646 \u0647\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0632\u0645\u0627\u0646\u06cc \u06af\u0641\u062a\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u06a9\u0647 \u0645\u062f\u0644\u200c\u0647\u0627 \u00ab\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc\u00bb \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u06a9\u0647 \u062a\u0627\u0628\u0639 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632 \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u062a\u0646\u0638\u06cc\u0645 \u0648\u0632\u0646 \u0628\u0647 \u06af\u0648\u0646\u0647\u200c\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647 \u0631\u0627 \u0628\u0647\u0628\u0648\u062f \u0646\u0645\u06cc\u200c\u0628\u062e\u0634\u062f (\u06a9\u0627\u0647\u0634 \u0646\u0645\u06cc\u200c\u062f\u0647\u062f) \u06a9\u0647 \u062f\u0631 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632 \u062b\u0628\u062a \u0645\u06cc\u200c\u0634\u0648\u062f \u062a\u0627 \u0648\u0632\u0646\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0622\u0646 \u062a\u0646\u0638\u06cc\u0645 \u0646\u06a9\u0646\u062f. \u062c\u0647\u062a \u062f\u0648\u0628\u0627\u0631\u0647<\/p>\n<h2 id=\"tensorflowshighlevelestimatorapi\"><span class=\"ez-toc-section\" id=\"api_%d8%a8%d8%b1%d8%a2%d9%88%d8%b1%d8%af%da%af%d8%b1_%d8%b3%d8%b7%d8%ad_%d8%a8%d8%a7%d9%84%d8%a7_tensorflow\"><\/span>API \u0628\u0631\u0622\u0648\u0631\u062f\u06af\u0631 \u0633\u0637\u062d \u0628\u0627\u0644\u0627 TensorFlow<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 TensorFlow \u06af\u0648\u06af\u0644 \u0634\u0627\u0645\u0644 \u0686\u0646\u062f API \u0627\u0633\u062a \u06a9\u0647 \u0645\u062d\u0628\u0648\u0628\u200c\u062a\u0631\u06cc\u0646 \u0622\u0646\u0647\u0627 Core API \u0627\u0633\u062a \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u06a9\u0627\u0631\u0628\u0631 \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u0627\u0633\u0627\u0633\u0627\u064b \u0647\u0631 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0639\u0645\u0644\u06cc\u0627\u062a \u0646\u0645\u0627\u062f\u06cc\u0646 \u062a\u0639\u0631\u06cc\u0641 \u0648 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u062f.  \u0628\u0647 \u0627\u06cc\u0646 \u0647\u0633\u062a\u0647 TensorFlow \u06af\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 TensorFlow Core \u06cc\u06a9 API \u0634\u06af\u0641\u062a\u200c\u0627\u0646\u06af\u06cc\u0632 \u0628\u0627 \u0642\u0627\u0628\u0644\u06cc\u062a \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u0633\u062a\u060c \u0645\u0646 \u062a\u0645\u0631\u06a9\u0632 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f \u0631\u0648\u06cc \u06cc\u06a9 API \u062c\u062f\u06cc\u062f\u062a\u0631 \u0648 \u0628\u0627\u0644\u0627\u062a\u0631 \u06a9\u0647 \u062a\u06cc\u0645 TensorFlow \u062a\u0648\u0633\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 API \u0628\u0631\u0622\u0648\u0631\u062f\u06af\u0631 \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u062a\u06cc\u0645 TensorFlow \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0631\u0648\u0632\u0645\u0631\u0647\u060c API \u062a\u062e\u0645\u06cc\u0646\u200c\u06af\u0631 \u0631\u0627 \u062a\u0648\u0633\u0639\u0647 \u062f\u0627\u062f.  \u0627\u06cc\u0646 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u06cc\u06a9 \u0631\u0627\u0628\u0637 \u0645\u0634\u062a\u0631\u06a9 \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f <code>train(...)<\/code> \u0645\u062f\u0644 \u0647\u0627\u060c <code>evaluate(...)<\/code> \u0645\u062f\u0644 \u0647\u0627 \u0648 <code>predict(...)<\/code> \u0646\u062a\u0627\u06cc\u062c \u0645\u0648\u0627\u0631\u062f \u0646\u0627\u0634\u0646\u0627\u062e\u062a\u0647 \u0645\u0634\u0627\u0628\u0647 (\u0648 \u062a\u062d\u062a \u062a\u0623\u062b\u06cc\u0631) \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u062d\u0628\u0648\u0628 Sci-Kit Learn\u060c \u06a9\u0647 \u0628\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0631\u0627\u0628\u0637 \u0645\u0634\u062a\u0631\u06a9 \u0628\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u062f\u0631 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0632 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0634\u06cc\u0648\u0647\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u0627\u0646\u062a\u0632\u0627\u0639\u200c\u0647\u0627 \u0648 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u0645\u0642\u06cc\u0627\u0633\u200c\u067e\u0630\u06cc\u0631\u06cc \u062a\u0639\u0628\u06cc\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0647\u0645\u0647 \u0627\u06cc\u0646 \u062e\u0648\u0628\u06cc \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0634\u062f\u0647 \u062f\u0631 \u06a9\u0644\u0627\u0633 Estimator \u067e\u0627\u06cc\u0647 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0686\u0646\u062f\u06cc\u0646 \u0646\u0648\u0639 \u0645\u062f\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u06a9\u0646\u0633\u0631\u0648 \u0634\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u062f\u0627\u0631\u062f \u06a9\u0647 \u0645\u0627\u0646\u0639 \u0648\u0631\u0648\u062f \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0628\u062a\u0648\u0627\u0646 \u0622\u0646 \u0631\u0627 \u062f\u0631 host \u0645\u0634\u06a9\u0644\u0627\u062a (\u06cc\u0627 \u0641\u0631\u0635\u062a \u0647\u0627\u06cc) \u0631\u0648\u0632\u0645\u0631\u0647.  \u0628\u0627 \u0627\u0646\u062a\u0632\u0627\u0639 \u06a9\u0631\u062f\u0646 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u062c\u0646\u0628\u0647 \u0647\u0627\u06cc \u062f\u0646\u06cc\u0648\u06cc \u0648 \u062f\u0633\u062a\u06cc \u0686\u06cc\u0632\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0646\u0648\u0634\u062a\u0646 \u062d\u0644\u0642\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u06cc\u0627 \u0628\u0631\u062e\u0648\u0631\u062f \u0628\u0627 \u062c\u0644\u0633\u0627\u062a\u060c \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062a\u0645\u0631\u06a9\u0632 \u06a9\u0646\u062f. \u0631\u0648\u06cc \u0686\u06cc\u0632\u0647\u0627\u06cc \u0645\u0647\u0645\u062a\u0631\u06cc \u0645\u0627\u0646\u0646\u062f \u0622\u0632\u0645\u0627\u06cc\u0634 \u0633\u0631\u06cc\u0639 \u0686\u0646\u062f\u06cc\u0646 \u0645\u062f\u0644 \u0648 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062f\u0644 \u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0645\u062f\u0644\u06cc \u06a9\u0647 \u0628\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0648\u062c\u0647 \u0628\u0627 \u0646\u06cc\u0627\u0632 \u0622\u0646\u0647\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u0646 \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9\u06cc \u0627\u0632 \u0628\u0631\u0622\u0648\u0631\u062f\u06af\u0631\u0647\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642\u060c <code>DNNRegressor<\/code>.<\/p>\n<h2 id=\"buildingadnnregressortopredicttheweather\"><span class=\"ez-toc-section\" id=\"%d8%b3%d8%a7%d8%ae%d8%aa_%db%8c%da%a9_dnnregressor_%d8%a8%d8%b1%d8%a7%db%8c_%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d8%a2%d8%a8_%d9%88_%d9%87%d9%88%d8%a7\"><\/span>\u0633\u0627\u062e\u062a \u06cc\u06a9 DNNRegressor \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0622\u0628 \u0648 \u0647\u0648\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0628\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062a\u0639\u062f\u0627\u062f\u06cc \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u062e\u062a\u0644\u0641 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0645\u062f\u0644 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f\u060c \u0634\u0631\u0648\u0639 \u06a9\u0646\u0645:<\/p>\n<pre><code class=\"hljs\"><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<span class=\"hljs-keyword\">import<\/span> tensorflow <span class=\"hljs-keyword\">as<\/span> tf\n<span class=\"hljs-keyword\">from<\/span> sklearn.metrics <span class=\"hljs-keyword\">import<\/span> explained_variance_score, \\\n    mean_absolute_error, \\\n    median_absolute_error\n<span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u062f\u0633\u062a\u0645\u0627\u0646 \u0631\u0627 \u0628\u06af\u06cc\u0631\u06cc\u0645 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0628\u0647 \u0627\u0648\u062c \u062e\u0648\u062f \u0628\u0631\u0633\u0627\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0627 \u0622\u0646 \u0622\u0634\u0646\u0627 \u0634\u0648\u06cc\u0645.  \u0645\u0646 \u062a\u0645\u0627\u0645 \u06a9\u062f\u0647\u0627 \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u0645\u062e\u0632\u0646 GitHub \u062e\u0648\u062f \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0645 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/github.com\/amcquistan\/WeatherPredictPythonML\">\u0627\u06cc\u0646\u062c\u0627<\/a> \u062a\u0627 \u062e\u0648\u0627\u0646\u0646\u062f\u06af\u0627\u0646 \u0628\u062a\u0648\u0627\u0646\u0646\u062f \u0622\u0646 \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u06a9\u0646\u0646\u062f.<\/p>\n<pre><code class=\"hljs\">\ndf = pd.read_csv(<span class=\"hljs-string\">'end-part2_df.csv'<\/span>).set_index(<span class=\"hljs-string\">'date'<\/span>)\n\n\ndf.describe().T\n<\/code><\/pre>\n<div>\n<table class=\"table table-bordered dataframe\" style=\"font-size:12px\">\n<thead>\n<tr style=\"text-align:right\">\n<th><\/th>\n<th>\u0634\u0645\u0631\u062f\u0646<\/th>\n<th>\u0645\u0646\u0638\u0648\u0631 \u062f\u0627\u0634\u062a\u0646<\/th>\n<th>std<\/th>\n<th>\u062f\u0642\u06cc\u0642\u0647<\/th>\n<th>25%<\/th>\n<th>50%<\/th>\n<th>75%<\/th>\n<th>\u062d\u062f\u0627\u06a9\u062b\u0631<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<th>meantempm<\/th>\n<td>997.0<\/td>\n<td>13.129388<\/td>\n<td>10.971591<\/td>\n<td>-17.0<\/td>\n<td>5.0<\/td>\n<td>15.0<\/td>\n<td>\u0633\u0627\u0639\u062a 22.00<\/td>\n<td>32.00<\/td>\n<\/tr>\n<tr>\n<th>maxtempm<\/th>\n<td>997.0<\/td>\n<td>19.509529<\/td>\n<td>11.577275<\/td>\n<td>-12.0<\/td>\n<td>11.0<\/td>\n<td>22.0<\/td>\n<td>\u0633\u0627\u0639\u062a 29.00<\/td>\n<td>38.00<\/td>\n<\/tr>\n<tr>\n<th>mintempm<\/th>\n<td>997.0<\/td>\n<td>6.438315<\/td>\n<td>10.957267<\/td>\n<td>-27.0<\/td>\n<td>-2.0<\/td>\n<td>7.0<\/td>\n<td>\u0633\u0627\u0639\u062a 16.00<\/td>\n<td>\u0633\u0627\u0639\u062a 26.00<\/td>\n<\/tr>\n<tr>\n<th>meantempm_1<\/th>\n<td>997.0<\/td>\n<td>13.109328<\/td>\n<td>10.984613<\/td>\n<td>-17.0<\/td>\n<td>5.0<\/td>\n<td>15.0<\/td>\n<td>\u0633\u0627\u0639\u062a 22.00<\/td>\n<td>32.00<\/td>\n<\/tr>\n<tr>\n<th>meantempm_2<\/th>\n<td>997.0<\/td>\n<td>13.088265<\/td>\n<td>11.001106<\/td>\n<td>-17.0<\/td>\n<td>5.0<\/td>\n<td>14.0<\/td>\n<td>\u0633\u0627\u0639\u062a 22.00<\/td>\n<td>32.00<\/td>\n<\/tr>\n<tr>\n<th>meantempm_3<\/th>\n<td>997.0<\/td>\n<td>13.066199<\/td>\n<td>11.017312<\/td>\n<td>-17.0<\/td>\n<td>5.0<\/td>\n<td>14.0<\/td>\n<td>\u0633\u0627\u0639\u062a 22.00<\/td>\n<td>32.00<\/td>\n<\/tr>\n<tr>\n<th>meandewptm_1<\/th>\n<td>997.0<\/td>\n<td>6.440321<\/td>\n<td>10.596265<\/td>\n<td>-22.0<\/td>\n<td>-2.0<\/td>\n<td>7.0<\/td>\n<td>\u0633\u0627\u0639\u062a 16.00<\/td>\n<td>\u0633\u0627\u0639\u062a 24.00<\/td>\n<\/tr>\n<tr>\n<th>meandewptm_2<\/th>\n<td>997.0<\/td>\n<td>6.420261<\/td>\n<td>10.606550<\/td>\n<td>-22.0<\/td>\n<td>-2.0<\/td>\n<td>7.0<\/td>\n<td>\u0633\u0627\u0639\u062a 16.00<\/td>\n<td>\u0633\u0627\u0639\u062a 24.00<\/td>\n<\/tr>\n<tr>\n<th>meandewptm_3<\/th>\n<td>997.0<\/td>\n<td>6.393180<\/td>\n<td>10.619083<\/td>\n<td>-22.0<\/td>\n<td>-2.0<\/td>\n<td>7.0<\/td>\n<td>\u0633\u0627\u0639\u062a 16.00<\/td>\n<td>\u0633\u0627\u0639\u062a 24.00<\/td>\n<\/tr>\n<tr>\n<th>meanpressurem_1<\/th>\n<td>997.0<\/td>\n<td>1016.139418<\/td>\n<td>7.582453<\/td>\n<td>989.0<\/td>\n<td>1011.0<\/td>\n<td>1016.0<\/td>\n<td>1021.00<\/td>\n<td>1040.00<\/td>\n<\/tr>\n<tr>\n<th>\u0641\u0634\u0627\u0631 \u0645\u062a\u0648\u0633\u0637_2<\/th>\n<td>997.0<\/td>\n<td>1016.142427<\/td>\n<td>7.584185<\/td>\n<td>989.0<\/td>\n<td>1011.0<\/td>\n<td>1016.0<\/td>\n<td>1021.00<\/td>\n<td>1040.00<\/td>\n<\/tr>\n<tr>\n<th>meanpressurem_3<\/th>\n<td>997.0<\/td>\n<td>1016.151454<\/td>\n<td>7.586988<\/td>\n<td>989.0<\/td>\n<td>1011.0<\/td>\n<td>1016.0<\/td>\n<td>1021.00<\/td>\n<td>1040.00<\/td>\n<\/tr>\n<tr>\n<th>\u062d\u062f\u0627\u06a9\u062b\u0631 \u0631\u0637\u0648\u0628\u062a_1<\/th>\n<td>997.0<\/td>\n<td>88.107322<\/td>\n<td>9.280627<\/td>\n<td>47.0<\/td>\n<td>83.0<\/td>\n<td>90.0<\/td>\n<td>93.00<\/td>\n<td>100.00<\/td>\n<\/tr>\n<tr>\n<th>\u062d\u062f\u0627\u06a9\u062b\u0631 \u0631\u0637\u0648\u0628\u062a_2<\/th>\n<td>997.0<\/td>\n<td>88.106319<\/td>\n<td>9.280152<\/td>\n<td>47.0<\/td>\n<td>83.0<\/td>\n<td>90.0<\/td>\n<td>93.00<\/td>\n<td>100.00<\/td>\n<\/tr>\n<tr>\n<th>\u062d\u062f\u0627\u06a9\u062b\u0631 \u0631\u0637\u0648\u0628\u062a_3<\/th>\n<td>997.0<\/td>\n<td>88.093280<\/td>\n<td>9.276775<\/td>\n<td>47.0<\/td>\n<td>83.0<\/td>\n<td>90.0<\/td>\n<td>93.00<\/td>\n<td>100.00<\/td>\n<\/tr>\n<tr>\n<th>\u062d\u062f\u0627\u0642\u0644 \u0631\u0637\u0648\u0628\u062a_1<\/th>\n<td>997.0<\/td>\n<td>46.025075<\/td>\n<td>16.108517<\/td>\n<td>9.0<\/td>\n<td>35.0<\/td>\n<td>45.0<\/td>\n<td>56.00<\/td>\n<td>92.00<\/td>\n<\/tr>\n<tr>\n<th>\u062d\u062f\u0627\u0642\u0644 \u0631\u0637\u0648\u0628\u062a_2<\/th>\n<td>997.0<\/td>\n<td>46.021063<\/td>\n<td>16.105530<\/td>\n<td>9.0<\/td>\n<td>35.0<\/td>\n<td>45.0<\/td>\n<td>56.00<\/td>\n<td>92.00<\/td>\n<\/tr>\n<tr>\n<th>\u062d\u062f\u0627\u0642\u0644 \u0631\u0637\u0648\u0628\u062a_3<\/th>\n<td>997.0<\/td>\n<td>45.984955<\/td>\n<td>16.047081<\/td>\n<td>9.0<\/td>\n<td>35.0<\/td>\n<td>45.0<\/td>\n<td>56.00<\/td>\n<td>92.00<\/td>\n<\/tr>\n<tr>\n<th>maxtempm_1<\/th>\n<td>997.0<\/td>\n<td>19.489468<\/td>\n<td>11.588542<\/td>\n<td>-12.0<\/td>\n<td>11.0<\/td>\n<td>22.0<\/td>\n<td>\u0633\u0627\u0639\u062a 29.00<\/td>\n<td>38.00<\/td>\n<\/tr>\n<tr>\n<th>maxtempm_2<\/th>\n<td>997.0<\/td>\n<td>19.471414<\/td>\n<td>11.603318<\/td>\n<td>-12.0<\/td>\n<td>11.0<\/td>\n<td>22.0<\/td>\n<td>\u0633\u0627\u0639\u062a 29.00<\/td>\n<td>38.00<\/td>\n<\/tr>\n<tr>\n<th>maxtempm_3<\/th>\n<td>997.0<\/td>\n<td>19.455366<\/td>\n<td>11.616412<\/td>\n<td>-12.0<\/td>\n<td>11.0<\/td>\n<td>22.0<\/td>\n<td>\u0633\u0627\u0639\u062a 29.00<\/td>\n<td>38.00<\/td>\n<\/tr>\n<tr>\n<th>mintempm_1<\/th>\n<td>997.0<\/td>\n<td>6.417252<\/td>\n<td>10.974433<\/td>\n<td>-27.0<\/td>\n<td>-2.0<\/td>\n<td>7.0<\/td>\n<td>\u0633\u0627\u0639\u062a 16.00<\/td>\n<td>\u0633\u0627\u0639\u062a 26.00<\/td>\n<\/tr>\n<tr>\n<th>mintempm_2<\/th>\n<td>997.0<\/td>\n<td>6.394183<\/td>\n<td>10.988954<\/td>\n<td>-27.0<\/td>\n<td>-2.0<\/td>\n<td>7.0<\/td>\n<td>\u0633\u0627\u0639\u062a 16.00<\/td>\n<td>\u0633\u0627\u0639\u062a 26.00<\/td>\n<\/tr>\n<tr>\n<th>mintempm_3<\/th>\n<td>997.0<\/td>\n<td>6.367101<\/td>\n<td>11.003451<\/td>\n<td>-27.0<\/td>\n<td>-2.0<\/td>\n<td>7.0<\/td>\n<td>\u0633\u0627\u0639\u062a 16.00<\/td>\n<td>\u0633\u0627\u0639\u062a 26.00<\/td>\n<\/tr>\n<tr>\n<th>maxdewptm_1<\/th>\n<td>997.0<\/td>\n<td>9.378134<\/td>\n<td>10.160778<\/td>\n<td>-18.0<\/td>\n<td>1.0<\/td>\n<td>11.0<\/td>\n<td>\u0633\u0627\u0639\u062a 18.00<\/td>\n<td>\u0633\u0627\u0639\u062a 26.00<\/td>\n<\/tr>\n<tr>\n<th>maxdewptm_2<\/th>\n<td>997.0<\/td>\n<td>9.359077<\/td>\n<td>10.171790<\/td>\n<td>-18.0<\/td>\n<td>1.0<\/td>\n<td>11.0<\/td>\n<td>\u0633\u0627\u0639\u062a 18.00<\/td>\n<td>\u0633\u0627\u0639\u062a 26.00<\/td>\n<\/tr>\n<tr>\n<th>maxdewptm_3<\/th>\n<td>997.0<\/td>\n<td>9.336008<\/td>\n<td>10.180521<\/td>\n<td>-18.0<\/td>\n<td>1.0<\/td>\n<td>11.0<\/td>\n<td>\u0633\u0627\u0639\u062a 18.00<\/td>\n<td>\u0633\u0627\u0639\u062a 26.00<\/td>\n<\/tr>\n<tr>\n<th>mindewptm_1<\/th>\n<td>997.0<\/td>\n<td>3.251755<\/td>\n<td>11.225411<\/td>\n<td>-28.0<\/td>\n<td>-6.0<\/td>\n<td>4.0<\/td>\n<td>\u0633\u0627\u0639\u062a 13.00<\/td>\n<td>\u0633\u0627\u0639\u062a 22.00<\/td>\n<\/tr>\n<tr>\n<th>mindewptm_2<\/th>\n<td>997.0<\/td>\n<td>3.229689<\/td>\n<td>11.235718<\/td>\n<td>-28.0<\/td>\n<td>-6.0<\/td>\n<td>4.0<\/td>\n<td>\u0633\u0627\u0639\u062a 13.00<\/td>\n<td>\u0633\u0627\u0639\u062a 22.00<\/td>\n<\/tr>\n<tr>\n<th>mindewptm_3<\/th>\n<td>997.0<\/td>\n<td>3.198596<\/td>\n<td>11.251536<\/td>\n<td>-28.0<\/td>\n<td>-6.0<\/td>\n<td>4.0<\/td>\n<td>\u0633\u0627\u0639\u062a 13.00<\/td>\n<td>\u0633\u0627\u0639\u062a 22.00<\/td>\n<\/tr>\n<tr>\n<th>maxpressurem_1<\/th>\n<td>997.0<\/td>\n<td>1019.913741<\/td>\n<td>7.755590<\/td>\n<td>993.0<\/td>\n<td>1015.0<\/td>\n<td>1019.0<\/td>\n<td>1024.00<\/td>\n<td>1055.00<\/td>\n<\/tr>\n<tr>\n<th>maxpressurem_2<\/th>\n<td>997.0<\/td>\n<td>1019.917753<\/td>\n<td>7.757705<\/td>\n<td>993.0<\/td>\n<td>1015.0<\/td>\n<td>1019.0<\/td>\n<td>1024.00<\/td>\n<td>1055.00<\/td>\n<\/tr>\n<tr>\n<th>maxpressurem_3<\/th>\n<td>997.0<\/td>\n<td>1019.927783<\/td>\n<td>7.757805<\/td>\n<td>993.0<\/td>\n<td>1015.0<\/td>\n<td>1019.0<\/td>\n<td>1024.00<\/td>\n<td>1055.00<\/td>\n<\/tr>\n<tr>\n<th>minpressurem_1<\/th>\n<td>997.0<\/td>\n<td>1012.317954<\/td>\n<td>7.885743<\/td>\n<td>956.0<\/td>\n<td>1008.0<\/td>\n<td>1012.0<\/td>\n<td>1017.00<\/td>\n<td>1035.00<\/td>\n<\/tr>\n<tr>\n<th>minpressurem_2<\/th>\n<td>997.0<\/td>\n<td>1012.319960<\/td>\n<td>7.886681<\/td>\n<td>956.0<\/td>\n<td>1008.0<\/td>\n<td>1012.0<\/td>\n<td>1017.00<\/td>\n<td>1035.00<\/td>\n<\/tr>\n<tr>\n<th>minpressurem_3<\/th>\n<td>997.0<\/td>\n<td>1012.326981<\/td>\n<td>7.889511<\/td>\n<td>956.0<\/td>\n<td>1008.0<\/td>\n<td>1012.0<\/td>\n<td>1017.00<\/td>\n<td>1035.00<\/td>\n<\/tr>\n<tr>\n<th>precipm_1<\/th>\n<td>997.0<\/td>\n<td>2.593180<\/td>\n<td>8.428058<\/td>\n<td>0.0<\/td>\n<td>0.0<\/td>\n<td>0.0<\/td>\n<td>0.25<\/td>\n<td>95.76<\/td>\n<\/tr>\n<tr>\n<th>precipm_2<\/th>\n<td>997.0<\/td>\n<td>2.593180<\/td>\n<td>8.428058<\/td>\n<td>0.0<\/td>\n<td>0.0<\/td>\n<td>0.0<\/td>\n<td>0.25<\/td>\n<td>95.76<\/td>\n<\/tr>\n<tr>\n<th>precipm_3<\/th>\n<td>997.0<\/td>\n<td>2.573049<\/td>\n<td>8.410223<\/td>\n<td>0.0<\/td>\n<td>0.0<\/td>\n<td>0.0<\/td>\n<td>0.25<\/td>\n<td>95.76<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<pre><code class=\"hljs\">\ndf.info()\n<\/code><\/pre>\n<pre><code class=\"hljs\">&lt;class 'pandas.core.frame.DataFrame'&gt;\nIndex: 997 entries, 2015-01-04 to 2017-09-27\nData columns (total 39 columns):\nmeantempm          997 non-null int64\nmaxtempm           997 non-null int64\nmintempm           997 non-null int64\nmeantempm_1        997 non-null float64\nmeantempm_2        997 non-null float64\nmeantempm_3        997 non-null float64\nmeandewptm_1       997 non-null float64\nmeandewptm_2       997 non-null float64\nmeandewptm_3       997 non-null float64\nmeanpressurem_1    997 non-null float64\nmeanpressurem_2    997 non-null float64\nmeanpressurem_3    997 non-null float64\nmaxhumidity_1      997 non-null float64\nmaxhumidity_2      997 non-null float64\nmaxhumidity_3      997 non-null float64\nminhumidity_1      997 non-null float64\nminhumidity_2      997 non-null float64\nminhumidity_3      997 non-null float64\nmaxtempm_1         997 non-null float64\nmaxtempm_2         997 non-null float64\nmaxtempm_3         997 non-null float64\nmintempm_1         997 non-null float64\nmintempm_2         997 non-null float64\nmintempm_3         997 non-null float64\nmaxdewptm_1        997 non-null float64\nmaxdewptm_2        997 non-null float64\nmaxdewptm_3        997 non-null float64\nmindewptm_1        997 non-null float64\nmindewptm_2        997 non-null float64\nmindewptm_3        997 non-null float64\nmaxpressurem_1     997 non-null float64\nmaxpressurem_2     997 non-null float64\nmaxpressurem_3     997 non-null float64\nminpressurem_1     997 non-null float64\nminpressurem_2     997 non-null float64\nminpressurem_3     997 non-null float64\nprecipm_1          997 non-null float64\nprecipm_2          997 non-null float64\nprecipm_3          997 non-null float64\ndtypes: float64(36), int64(3)\nmemory usage: 311.6+ KB\n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u0627 \u06a9\u0645\u062a\u0631 \u0627\u0632 1000 \u0631\u06a9\u0648\u0631\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0647\u0648\u0627\u0634\u0646\u0627\u0633\u06cc \u062f\u0627\u0631\u06cc\u0645 \u0648 \u0647\u0645\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0645\u0627\u0647\u06cc\u062a \u0639\u062f\u062f\u06cc \u062f\u0627\u0631\u0646\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0633\u062e\u062a \u06a9\u0648\u0634\u06cc \u0645\u0627 \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0627\u0648\u0644\u060c \u0647\u0645\u0647 \u0631\u06a9\u0648\u0631\u062f\u0647\u0627 \u06a9\u0627\u0645\u0644 \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0647\u06cc\u0686 \u0645\u0642\u062f\u0627\u0631\u06cc \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u0646\u0645\u06cc \u062f\u0647\u0646\u062f (\u0628\u062f\u0648\u0646 \u062a\u0647\u06cc).<\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u00abmintempm\u00bb \u0648 \u00abmaxtempm\u00bb \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc\u200c\u06a9\u0646\u0645 \u0632\u06cc\u0631\u0627 \u0647\u06cc\u0686 \u0645\u0639\u0646\u0627\u06cc\u06cc \u062f\u0631 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062f\u0645\u0627\u06cc \u0645\u062a\u0648\u0633\u0637 \u200b\u200b\u0646\u062f\u0627\u0631\u0646\u062f.  \u0645\u0627 \u0633\u0639\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0622\u06cc\u0646\u062f\u0647 \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0648\u0627\u0636\u062d \u0627\u0633\u062a \u06a9\u0647 \u0646\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0622\u06cc\u0646\u062f\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645.  \u0645\u0646 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0631\u0627 \u062c\u062f\u0627 \u0645\u06cc \u06a9\u0646\u0645 (<code>X<\/code>) \u0627\u0632 \u0627\u0647\u062f\u0627\u0641 (<code>y<\/code>).<\/p>\n<pre><code class=\"hljs\">\ndf = df.drop((<span class=\"hljs-string\">'mintempm'<\/span>, <span class=\"hljs-string\">'maxtempm'<\/span>), axis=<span class=\"hljs-number\">1<\/span>)\n\n\nX = df((col <span class=\"hljs-keyword\">for<\/span> col <span class=\"hljs-keyword\">in<\/span> df.columns <span class=\"hljs-keyword\">if<\/span> col != <span class=\"hljs-string\">'meantempm'<\/span>))\n\n\ny = df(<span class=\"hljs-string\">'meantempm'<\/span>)\n<\/code><\/pre>\n<p>\u0645\u0627\u0646\u0646\u062f \u062a\u0645\u0627\u0645 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u062a\u062d\u062a \u0646\u0638\u0627\u0631\u062a\u060c \u0645\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0628\u0631\u0627\u06cc \u062a\u0648\u0636\u06cc\u062d \u0628\u0647\u062a\u0631 \u062a\u06a9\u0631\u0627\u0631\u06cc process \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc\u060c \u0645\u0646 \u0627\u0632 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0636\u0627\u0641\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f \u06a9\u0647 \u0627\u0632 \u0622\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 &#8220;\u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc&#8221; \u06cc\u0627\u062f \u0645\u06cc \u06a9\u0646\u0645.  \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0646 \u0627\u0632 80 \u062f\u0631\u0635\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f \u0648 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0648 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0647\u0631 \u06a9\u062f\u0627\u0645 10 \u062f\u0631\u0635\u062f \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0627\u0642\u06cc \u0645\u0627\u0646\u062f\u0647 \u062e\u0648\u0627\u0647\u0646\u062f \u0628\u0648\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0645\u0646 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0632 Sci-Kit Learn \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f <code>train_test_split(...)<\/code>.<\/p>\n<pre><code class=\"hljs\">\nX_train, X_tmp, y_train, y_tmp = train_test_split(X, y, test_size=<span class=\"hljs-number\">0.2<\/span>, random_state=<span class=\"hljs-number\">23<\/span>)\n<\/code><\/pre>\n<pre><code class=\"hljs\">\nX_test, X_val, y_test, y_val = train_test_split(X_tmp, y_tmp, test_size=<span class=\"hljs-number\">0.5<\/span>, random_state=<span class=\"hljs-number\">23<\/span>)\n\nX_train.shape, X_test.shape, X_val.shape\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Training instances   {}, Training features   {}\"<\/span>.<span class=\"hljs-built_in\">format<\/span>(X_train.shape(<span class=\"hljs-number\">0<\/span>), X_train.shape(<span class=\"hljs-number\">1<\/span>)))\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Validation instances {}, Validation features {}\"<\/span>.<span class=\"hljs-built_in\">format<\/span>(X_val.shape(<span class=\"hljs-number\">0<\/span>), X_val.shape(<span class=\"hljs-number\">1<\/span>)))\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Testing instances    {}, Testing features    {}\"<\/span>.<span class=\"hljs-built_in\">format<\/span>(X_test.shape(<span class=\"hljs-number\">0<\/span>), X_test.shape(<span class=\"hljs-number\">1<\/span>)))\n<\/code><\/pre>\n<pre><code class=\"hljs\">Training instances   797, Training features   36\nValidation instances 100, Validation features 36\nTesting instances    100, Testing features    36\n<\/code><\/pre>\n<p>\u0627\u0648\u0644\u06cc\u0646 \u0642\u062f\u0645\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u062f\u0631 \u0633\u0627\u062e\u062a \u06cc\u06a9 \u0645\u062f\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0631\u062f\u0627\u0634\u062a\u0647 \u0634\u0648\u062f\u060c \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u0627\u0633\u062a <code>tf.estimator.DNNRegressor(...)<\/code> \u06a9\u0644\u0627\u0633  \u0633\u0627\u0632\u0646\u062f\u0647 \u06a9\u0644\u0627\u0633 \u0686\u0646\u062f\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0645\u0646 \u062a\u0645\u0631\u06a9\u0632 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f \u0631\u0648\u06cc \u0628\u0647 \u0634\u0631\u062d \u0632\u06cc\u0631:<\/p>\n<ul>\n<li><code>feature_columns<\/code>: \u0633\u0627\u062e\u062a\u0627\u0631\u06cc \u0644\u06cc\u0633\u062a \u0645\u0627\u0646\u0646\u062f \u06a9\u0647 \u0634\u0627\u0645\u0644 \u062a\u0639\u0631\u06cc\u0641\u06cc \u0627\u0632 \u0646\u0627\u0645 \u0648 \u0627\u0646\u0648\u0627\u0639 \u062f\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0648\u0627\u0631\u062f \u0634\u062f\u0647 \u0628\u0647 \u0645\u062f\u0644 \u0627\u0633\u062a<\/li>\n<li><code>hidden_units<\/code>: \u0633\u0627\u062e\u062a\u0627\u0631\u06cc \u0644\u06cc\u0633\u062a \u0645\u0627\u0646\u0646\u062f \u06a9\u0647 \u062d\u0627\u0648\u06cc \u062a\u0639\u0631\u06cc\u0641\u06cc \u0627\u0632 \u0639\u0631\u0636 \u0648 \u0639\u0645\u0642 \u0627\u0639\u062f\u0627\u062f \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0627\u0633\u062a<\/li>\n<li><code>optimizer<\/code>: \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0627\u0632 <code>tf.Optimizer<\/code> \u0632\u06cc\u0631 \u06a9\u0644\u0627\u0633\u060c \u06a9\u0647 \u0648\u0632\u0646 \u0645\u062f\u0644 \u0631\u0627 \u062f\u0631 \u0637\u0648\u0644 \u062a\u0645\u0631\u06cc\u0646 \u0628\u0647\u06cc\u0646\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0622\u0646 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632 AdaGrad \u0627\u0633\u062a.<\/li>\n<li><code>activation_fn<\/code>: \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0645\u0639\u0631\u0641\u06cc \u063a\u06cc\u0631 \u062e\u0637\u06cc \u0628\u0648\u062f\u0646 \u0634\u0628\u06a9\u0647 \u062f\u0631 \u0647\u0631 \u0644\u0627\u06cc\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Rectifier_(neural_networks)\">ReLU<\/a><\/li>\n<li><code>model_dir<\/code>: \u0641\u0647\u0631\u0633\u062a\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u0634\u0648\u062f \u06a9\u0647 \u062d\u0627\u0648\u06cc \u0627\u0628\u0631\u062f\u0627\u062f\u0647 \u0648 \u0633\u0627\u06cc\u0631 \u0645\u0648\u0627\u0631\u062f \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0628\u0627\u0634\u062f<\/li>\n<\/ul>\n<p>\u0645\u0646 \u0628\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u0634\u0631\u0648\u0639 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0632 <code>tf.feature_column.numeric_column()<\/code> \u062a\u0627\u0628\u0639\u06cc \u06a9\u0647 a \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f <code>FeatureColumn<\/code> \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u0628\u0627 \u0627\u0631\u0632\u0634 \u067e\u06cc\u0648\u0633\u062a\u0647.<\/p>\n<pre><code class=\"hljs\">feature_cols = (tf.feature_column.numeric_column(col) <span class=\"hljs-keyword\">for<\/span> col <span class=\"hljs-keyword\">in<\/span> X.columns)\n<\/code><\/pre>\n<p>\u0628\u0627 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc \u062a\u0639\u0631\u06cc\u0641 \u0634\u062f\u0647\u060c \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u0645 \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u0645 <code>DNNRegressor<\/code> \u06a9\u0644\u0627\u0633 \u0648 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0645\u062a\u063a\u06cc\u0631 regressor \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f.  \u0645\u0646 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u0645 \u06a9\u0647 \u0645\u0646 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u06cc \u062e\u0648\u0627\u0647\u0645 \u06a9\u0647 \u062f\u0627\u0631\u0627\u06cc \u062f\u0648 \u0644\u0627\u06cc\u0647 \u0639\u0645\u06cc\u0642 \u0628\u0627\u0634\u062f \u06a9\u0647 \u0647\u0631 \u062f\u0648 \u0644\u0627\u06cc\u0647 \u062f\u0627\u0631\u0627\u06cc \u0639\u0631\u0636 50 \u06af\u0631\u0647 \u0628\u0627\u0634\u0646\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u0645 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u062f\u0644 \u0645\u0646 \u062f\u0631 \u0641\u0647\u0631\u0633\u062a\u06cc \u0628\u0647 \u0646\u0627\u0645 \u0630\u062e\u06cc\u0631\u0647 \u0634\u0648\u062f <em>tf_wx_model<\/em>.<\/p>\n<pre><code class=\"hljs\">regressor = tf.estimator.DNNRegressor(feature_columns=feature_cols,\n                                      hidden_units=(<span class=\"hljs-number\">50<\/span>, <span class=\"hljs-number\">50<\/span>),\n                                      model_dir=<span class=\"hljs-string\">'tf_wx_model'<\/span>)\n<\/code><\/pre>\n<pre><code class=\"hljs\">INFO:tensorflow:Using default config.\nINFO:tensorflow:Using config: {'_tf_random_seed': 1, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_model_dir': 'tf_wx_model', '_log_step_count_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100, '_keep_checkpoint_max': 5, '_session_config': None}\n<\/code><\/pre>\n<p>\u06a9\u0627\u0631 \u0628\u0639\u062f\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u0645 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u0645 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u062c\u062f\u062f \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u0645 \u06a9\u0647 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 &#8220;\u0639\u0645\u0644\u06a9\u0631\u062f \u0648\u0631\u0648\u062f\u06cc&#8221; \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u06a9\u0647 \u0645\u0646 \u0622\u0646 \u0631\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u0645. <code>wx_input_fn(...)<\/code>.  \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0628\u0631\u0627\u06cc \u062a\u063a\u0630\u06cc\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u0646 \u062f\u0631 \u0637\u0648\u0644 \u0645\u0631\u0627\u062d\u0644 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u062f \u0634\u062f.  \u0631\u0627\u0647\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u062a\u0648\u0627\u0628\u0639 \u0648\u0631\u0648\u062f\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0627\u0645\u0627 \u0645\u0646 \u0631\u0648\u0634 \u062a\u0639\u0631\u06cc\u0641 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0648\u0627\u0628\u0639 \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u062e\u0648\u0627\u0647\u0645 \u062f\u0627\u062f. <code>tf.estimator.inputs.pandas_input_fn(...)<\/code> \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0646 \u062f\u0631 \u0633\u0627\u062e\u062a\u0627\u0631\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u067e\u0627\u0646\u062f\u0627 \u0627\u0633\u062a.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">wx_input_fn<\/span>(<span class=\"hljs-params\">X, y=<span class=\"hljs-literal\">None<\/span>, num_epochs=<span class=\"hljs-literal\">None<\/span>, shuffle=<span class=\"hljs-literal\">True<\/span>, batch_size=<span class=\"hljs-number\">400<\/span><\/span>):<\/span>\n    <span class=\"hljs-keyword\">return<\/span> tf.estimator.inputs.pandas_input_fn(x=X,\n                                               y=y,\n                                               num_epochs=num_epochs,\n                                               shuffle=shuffle,\n                                               batch_size=batch_size)\n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 <code>wx_input_fn(...)<\/code> \u062a\u0627\u0628\u0639 \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u062c\u0628\u0627\u0631\u06cc \u0648 \u0686\u0647\u0627\u0631 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0633\u067e\u0633 \u0628\u0647 \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0648\u0631\u0648\u062f\u06cc TensorFlow \u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635 \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u067e\u0627\u0646\u062f\u0627 \u062a\u062d\u0648\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u06a9\u0647 \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.  \u0627\u06cc\u0646 \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0642\u062f\u0631\u062a\u0645\u0646\u062f TensorFlow API (\u0648 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u0633\u0627\u06cc\u0631 \u0632\u0628\u0627\u0646\u200c\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u062a\u0648\u0627\u0628\u0639 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0634\u0647\u0631\u0648\u0646\u062f\u0627\u0646 \u062f\u0631\u062c\u0647 \u06cc\u06a9 \u0631\u0641\u062a\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f).<\/p>\n<p>\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u062a\u0627\u0628\u0639 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u0634\u0648\u0646\u062f:<\/p>\n<ul>\n<li><code>X<\/code>: \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0633\u0647 \u0645\u0648\u0631\u062f \u062a\u063a\u0630\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f <code>DNNRegressor<\/code> \u0631\u0648\u0634 \u0647\u0627\u06cc \u0631\u0627\u0628\u0637 (<code>train<\/code>\u060c <code>evaluate<\/code>\u060c \u0648 <code>predict<\/code>)<\/li>\n<li><code>y<\/code>: \u0645\u0642\u0627\u062f\u06cc\u0631 \u0647\u062f\u0641 \u0627\u0632 <code>X<\/code>\u060c \u06a9\u0647 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc \u0647\u0633\u062a\u0646\u062f \u0648 \u0628\u0647 \u0622\u0646\u0647\u0627 \u0627\u0631\u0627\u0626\u0647 \u0646\u0645\u06cc \u0634\u0648\u062f <code>predict<\/code> \u0632\u0646\u06af \u0632\u062f\u0646<\/li>\n<li><code>num_epochs<\/code>: \u06cc\u06a9 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc.  \u06cc\u06a9 \u062f\u0648\u0631\u0647 \u0632\u0645\u0627\u0646\u06cc \u0627\u062a\u0641\u0627\u0642 \u0645\u06cc \u0627\u0641\u062a\u062f \u06a9\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u06a9 \u0628\u0627\u0631 \u0631\u0648\u06cc \u06a9\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u062c\u0631\u0627 \u0634\u0648\u062f.<\/li>\n<li><code>shuffle<\/code>: \u06cc\u06a9 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc\u060c \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0647\u0631 \u0628\u0627\u0631 \u06a9\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0627\u062c\u0631\u0627 \u0645\u06cc \u0634\u0648\u062f\u060c \u06cc\u06a9 \u062f\u0633\u062a\u0647 (\u0632\u06cc\u0631 \u0645\u062c\u0645\u0648\u0639\u0647) \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0647 \u0637\u0648\u0631 \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u0648\u062f \u06cc\u0627 \u062e\u06cc\u0631.<\/li>\n<li><code>batch_size<\/code>: \u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u0647\u0631 \u0628\u0627\u0631 \u0627\u062c\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0627\u06cc\u062f \u06af\u0646\u062c\u0627\u0646\u062f\u0647 \u0634\u0648\u062f<\/li>\n<\/ul>\n<p>\u0628\u0627 \u062a\u0639\u0631\u06cc\u0641 \u062a\u0627\u0628\u0639 \u0648\u0631\u0648\u062f\u06cc \u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062e\u0648\u062f \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u0645 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0627  \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u0646\u062f\u06af\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0627 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u06cc TensorFlow \u0622\u0634\u0646\u0627 \u0647\u0633\u062a\u0646\u062f\u060c \u0627\u062d\u062a\u0645\u0627\u0644\u0627 \u0645\u062a\u0648\u062c\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u06a9\u0647 \u0645\u0646 \u062f\u0631 \u0645\u0648\u0631\u062f \u0631\u0648\u0634 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u062e\u0648\u062f \u06a9\u0645\u06cc \u063a\u06cc\u0631 \u0645\u062a\u0639\u0627\u0631\u0641 \u0647\u0633\u062a\u0645.  \u06cc\u0639\u0646\u06cc \u062d\u062f\u0627\u0642\u0644 \u0627\u0632 \u0645\u0646\u0638\u0631 \u0622\u0645\u0648\u0632\u0634 \u0647\u0627\u06cc \u0641\u0639\u0644\u06cc \u0631\u0648\u06cc \u0648\u0628 \u0633\u0627\u06cc\u062a \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 \u0648 \u0633\u0627\u06cc\u0631 \u0622\u0645\u0648\u0632\u0634 \u0647\u0627 \u0631\u0648\u06cc \u0648\u0628.<\/p>\n<p>\u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0627\u062f\u0647 \u0634\u062f\u0647 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc\u200c\u062f\u0647\u06cc\u062f\u060c \u0686\u06cc\u0632\u06cc \u0634\u0628\u06cc\u0647 \u0628\u0647 \u0632\u06cc\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">regressor.train(input_fn=input_fn(training_data, num_epochs=<span class=\"hljs-literal\">None<\/span>, shuffle=<span class=\"hljs-literal\">True<\/span>), steps=some_large_number)\n\n.....\nlots of log info\n....\n<\/code><\/pre>\n<p>\u0633\u067e\u0633 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0622\u0646 \u062e\u0648\u0627\u0647\u062f \u067e\u0631\u062f\u0627\u062e\u062a <code>evaluate(...)<\/code> \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0628\u0647 \u0633\u062e\u062a\u06cc \u0627\u0634\u0627\u0631\u0647 \u0627\u06cc \u0628\u0647 \u062a\u0648\u0635\u06cc\u0641 \u0622\u0646\u0686\u0647 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f \u06cc\u0627 \u062f\u0644\u06cc\u0644 \u0648\u062c\u0648\u062f \u0627\u06cc\u0646 \u062e\u0637 \u06a9\u062f.<\/p>\n<pre><code class=\"hljs\">regressor.evaluate(input_fn=input_fn(eval_data, num_epochs=<span class=\"hljs-number\">1<\/span>, shuffle=<span class=\"hljs-literal\">False<\/span>), steps=<span class=\"hljs-number\">1<\/span>)\n\n.....\nless log info\n....\n<\/code><\/pre>\n<p>\u0648 \u067e\u0633 \u0627\u0632 \u0627\u06cc\u0646\u060c \u0622\u0646\u0647\u0627 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u062e\u0648\u0627\u0647\u0646\u062f \u067e\u0631\u062f\u0627\u062e\u062a <code>predict(...)<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0627 \u0641\u0631\u0636 \u0627\u06cc\u0646\u06a9\u0647 \u0647\u0645\u0647 \u0628\u0627 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u06a9\u0627\u0645\u0644 \u0627\u0633\u062a.<\/p>\n<pre><code class=\"hljs\">predictions = regressor.predict(input_fn=input_fn(pred_data, num_epochs=<span class=\"hljs-number\">1<\/span>, shuffle=<span class=\"hljs-literal\">False<\/span>), steps=<span class=\"hljs-number\">1<\/span>)\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0627\u0632\u0647\u200c\u0648\u0627\u0631\u062f ML \u06a9\u0647 \u0627\u06cc\u0646 \u0646\u0648\u0639 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u0645\u06cc\u200c\u062e\u0648\u0627\u0646\u062f\u060c \u0645\u0646 \u062f\u0644\u0645 \u06af\u0631\u0641\u062a\u0647 \u0627\u0633\u062a.  \u0641\u06a9\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0628\u06cc\u0634\u062a\u0631\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0633\u0647 \u062e\u0637 \u06a9\u062f \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u062a\u0648\u062c\u0647 \u0628\u06cc\u0634\u062a\u0631\u06cc \u0631\u0627 \u0627\u06cc\u062c\u0627\u0628 \u0645\u06cc \u06a9\u0646\u062f.  \u0645\u0646 \u0627\u062d\u0633\u0627\u0633 \u0645\u06cc \u06a9\u0646\u0645 \u0627\u06cc\u0646 \u062a\u0646\u0647\u0627 \u0646\u0642\u0637\u0647 \u0636\u0639\u0641 \u062f\u0627\u0634\u062a\u0646 \u06cc\u06a9 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u0627\u0633\u062a &#8211; \u062c\u0645\u0639 \u06a9\u0631\u062f\u0646 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u062f\u0648\u0646 \u062f\u0631\u06a9 \u0646\u06a9\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0622\u0633\u0627\u0646 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u0645\u06cc\u062f\u0648\u0627\u0631\u0645 \u0628\u062a\u0648\u0627\u0646\u0645 \u062a\u0648\u0636\u06cc\u062d \u0645\u0639\u0642\u0648\u0644\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0631\u0648\u0634 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0627\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0647 \u06af\u0648\u0646\u0647 \u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u06a9\u0646\u0645 \u06a9\u0647 \u062e\u0637\u0631 \u062a\u0637\u0628\u06cc\u0642 \u06cc\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0631\u0627\u0632\u0634 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0628\u0631\u0633\u0627\u0646\u062f.<\/p>\n<p>\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0628\u062f\u0648\u0646 \u062a\u0627\u062e\u06cc\u0631 \u0628\u06cc\u0634\u062a\u0631 \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u06cc\u06a9 \u062d\u0644\u0642\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u0645 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062f\u0648\u0631\u0647 \u0627\u06cc \u0622\u0646 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc<\/p>\n<pre><code class=\"hljs\">evaluations = ()\nSTEPS = <span class=\"hljs-number\">400<\/span>\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">100<\/span>):\n    regressor.train(input_fn=wx_input_fn(X_train, y=y_train), steps=STEPS)\n    evaluations.append(regressor.evaluate(input_fn=wx_input_fn(X_val,\n                                                               y_val,\n                                                               num_epochs=<span class=\"hljs-number\">1<\/span>,\n                                                               shuffle=<span class=\"hljs-literal\">False<\/span>)))\n<\/code><\/pre>\n<pre><code class=\"hljs\">INFO:tensorflow:Create CheckpointSaverHook.\nINFO:tensorflow:Saving checkpoints for 1 into tf_wx_model\/model.ckpt.\nINFO:tensorflow:step = 1, loss = 1.11335e+07\nINFO:tensorflow:global_step\/sec: 75.7886\nINFO:tensorflow:step = 101, loss = 36981.3 (1.321 sec)\nINFO:tensorflow:global_step\/sec: 85.0322\n... A WHOLE LOT OF LOG OUTPUT ...\nINFO:tensorflow:step = 39901, loss = 5205.02 (1.233 sec)\nINFO:tensorflow:Saving checkpoints for 40000 into tf_wx_model\/model.ckpt.\nINFO:tensorflow:Loss for final step: 4557.79.\nINFO:tensorflow:Starting evaluation at 2017-12-05-13:48:43\nINFO:tensorflow:Restoring parameters from tf_wx_model\/model.ckpt-40000\nINFO:tensorflow:Evaluation (1\/1)\nINFO:tensorflow:Finished evaluation at 2017-12-05-13:48:43\nINFO:tensorflow:Saving dict for global step 40000: average_loss = 10.2416, global_step = 40000, loss = 1024.16\nINFO:tensorflow:Starting evaluation at 2017-12-05-13:48:43\nINFO:tensorflow:Restoring parameters from tf_wx_model\/model.ckpt-40000\nINFO:tensorflow:Finished evaluation at 2017-12-05-13:48:43\nINFO:tensorflow:Saving dict for global step 40000: average_loss = 10.2416, global_step = 40000, loss = 1024.16\n<\/code><\/pre>\n<p>\u062d\u0644\u0642\u0647 \u0628\u0627\u0644\u0627 100 \u0628\u0627\u0631 \u062a\u06a9\u0631\u0627\u0631 \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0631 \u0628\u062f\u0646\u0647 \u062d\u0644\u0642\u0647 \u0645\u0646 the \u0631\u0627 \u0635\u062f\u0627 \u0645\u06cc \u0632\u0646\u0645 <code>train(...)<\/code> \u0645\u062a\u062f \u0634\u06cc regressor\u060c \u0627\u0631\u0633\u0627\u0644 \u0622\u0646 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u062c\u062f\u062f <code>wx_input_fn(...)<\/code> \u06a9\u0647 \u0628\u0647 \u0646\u0648\u0628\u0647 \u062e\u0648\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u0648 \u0627\u0647\u062f\u0627\u0641 \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0646 \u0631\u0627 \u06af\u0630\u0631\u0627\u0646\u062f\u0647 \u0627\u0633\u062a.  \u0645\u0646 \u0639\u0645\u062f\u0627\u064b \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0631\u0627 \u062a\u0631\u06a9 \u06a9\u0631\u062f\u0645 <code>num_epochs<\/code> \u0645\u0633\u0627\u0648\u06cc \u0628\u0627 <code>None<\/code>\u060c \u06a9\u0647 \u0627\u0633\u0627\u0633\u0627\u064b \u0645\u06cc \u06af\u0648\u06cc\u062f: &#8220;\u0628\u0631\u0627\u06cc \u0645\u0646 \u0645\u0647\u0645 \u0646\u06cc\u0633\u062a \u06a9\u0647 \u0686\u0646\u062f \u0628\u0627\u0631 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0639\u0628\u0648\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0641\u0642\u0637 \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062f\u0631 \u0628\u0631\u0627\u0628\u0631 \u0647\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u062f\u0627\u0645\u0647 \u062f\u0647\u06cc\u062f. <code>batch_size<\/code> 400 \u0627\u06cc\u0646\u0686 (\u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u0646\u0635\u0641 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc). <code>shuffle<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0622\u0646 \u0627\u0633\u062a <code>True<\/code> \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u062f\u0631 \u062d\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc \u0634\u0648\u0646\u062f \u062a\u0627 \u0627\u0632 \u0647\u0631\u06af\u0648\u0646\u0647 \u0631\u0627\u0628\u0637\u0647 \u0645\u062a\u0648\u0627\u0644\u06cc \u062f\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0634\u0648\u062f.  \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0646\u0647\u0627\u06cc\u06cc \u0628\u0647 <code>train(...)<\/code> \u0631\u0648\u0634 \u0627\u0633\u062a <code>steps<\/code> \u06a9\u0647 \u0645\u0646 \u0631\u0648\u06cc 400 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f\u0645\u060c \u06cc\u0639\u0646\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0631 \u0647\u0631 \u062d\u0644\u0642\u0647 400 \u0628\u0627\u0631 \u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u0628\u0647 \u0645\u0646 \u0641\u0631\u0635\u062a \u062e\u0648\u0628\u06cc \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0628\u0647 \u0631\u0648\u0634 \u0639\u062f\u062f\u06cc \u062f\u0642\u06cc\u0642 \u062a\u0631 \u062a\u0648\u0636\u06cc\u062d \u062f\u0647\u0645 \u06a9\u0647 \u0645\u0639\u0646\u0627\u06cc \u06cc\u06a9 \u062f\u0648\u0631\u0647 \u0686\u06cc\u0633\u062a.  \u0627\u0632 \u06af\u0644\u0648\u0644\u0647 \u0647\u0627\u06cc \u0628\u0627\u0644\u0627 \u0628\u0647 \u06cc\u0627\u062f \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f \u06a9\u0647 \u06cc\u06a9 \u062f\u0648\u0631\u0647 \u0632\u0645\u0627\u0646\u06cc \u0627\u062a\u0641\u0627\u0642 \u0645\u06cc \u0627\u0641\u062a\u062f \u06a9\u0647 \u062a\u0645\u0627\u0645 \u0631\u06a9\u0648\u0631\u062f\u0647\u0627\u06cc \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u0634\u0648\u062f \u062a\u0627 \u062f\u0642\u06cc\u0642\u0627\u064b \u06cc\u06a9 \u0628\u0627\u0631 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0634\u0648\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0627\u06af\u0631 \u0645\u0627 \u062d\u062f\u0648\u062f 800 (\u0628\u0647 \u0637\u0648\u0631 \u062f\u0642\u06cc\u0642 797) \u0631\u06a9\u0648\u0631\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645 \u0648 \u0647\u0631 \u062f\u0633\u062a\u0647 400 \u0631\u06a9\u0648\u0631\u062f \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u062f\u060c \u062f\u0631 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a \u0628\u0647 \u0627\u0632\u0627\u06cc \u0647\u0631 \u062f\u0648 \u062f\u0633\u062a\u0647\u060c \u06cc\u06a9 \u062f\u0648\u0631\u0647 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0627\u06cc\u0645.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0627\u06af\u0631 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u06cc\u0634 \u0627\u0632 100 \u062a\u06a9\u0631\u0627\u0631 400 \u0645\u0631\u062d\u0644\u0647 \u0627\u06cc \u0628\u0627 \u0627\u0646\u062f\u0627\u0632\u0647 \u062f\u0633\u062a\u0647 \u0627\u06cc 400 (\u06cc\u06a9 \u0646\u06cc\u0645 \u062f\u0648\u0631\u0647 \u062f\u0631 \u0647\u0631 \u062f\u0633\u062a\u0647) \u062a\u06a9\u0631\u0627\u0631 \u06a9\u0646\u06cc\u0645\u060c \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">(100 x 400 \/ 2) = 20,000 epochs\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062a\u0639\u062c\u0628 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0686\u0631\u0627 \u0645\u0646 \u0648 <code>evaluate(...)<\/code> \u0631\u0648\u0634 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062a\u06a9\u0631\u0627\u0631 \u062d\u0644\u0642\u0647 \u0648 \u062e\u0631\u0648\u062c\u06cc \u0622\u0646 \u062f\u0631 \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u062b\u0628\u062a \u0645\u06cc \u0634\u0648\u062f.  \u0627\u0628\u062a\u062f\u0627 \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u062a\u0648\u0636\u06cc\u062d \u062f\u0647\u0645 \u06a9\u0647 \u0647\u0631 \u0628\u0627\u0631 \u0686\u0647 \u0627\u062a\u0641\u0627\u0642\u06cc \u0645\u06cc \u0627\u0641\u062a\u062f <code>train(...)<\/code> \u0631\u0648\u0634 \u0634\u0644\u06cc\u06a9 \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0633\u062a\u0647\u200c\u0627\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u0632 \u0631\u06a9\u0648\u0631\u062f\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u062a\u0627 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u06cc\u06a9 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u0634\u0648\u062f \u062f\u0631 \u0634\u0628\u06a9\u0647 \u0647\u0644 \u0645\u06cc\u200c\u062f\u0647\u062f \u0648 \u0628\u0631\u0627\u06cc \u0647\u0631 \u0631\u06a9\u0648\u0631\u062f \u062a\u0627\u0628\u0639 \u0636\u0631\u0631 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.  \u0633\u067e\u0633 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0644\u0641\u0627\u062a \u0645\u062d\u0627\u0633\u0628\u0647\u200c\u0634\u062f\u0647\u060c \u0648\u0632\u0646\u200c\u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0645\u0646\u0637\u0642 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f\u060c \u06a9\u0647 \u062f\u0631 \u0627\u0646\u062c\u0627\u0645 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u0628\u0647 \u0633\u0645\u062a \u062c\u0647\u062a\u06cc \u06a9\u0647 \u062a\u0644\u0641\u0627\u062a \u06a9\u0644\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631 \u0628\u0639\u062f\u06cc \u06a9\u0627\u0647\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f\u060c \u06a9\u0627\u0631 \u0628\u0633\u06cc\u0627\u0631 \u062e\u0648\u0628\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u062f.  \u0627\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646\u060c \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u062a\u0627 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0645\u06cc\u0632\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06a9\u0627\u0641\u06cc \u06a9\u0648\u0686\u06a9 \u0628\u0627\u0634\u062f\u060c \u062f\u0631 \u0637\u0648\u0644 \u0632\u0645\u0627\u0646 \u0628\u0627 \u0647\u0631 \u062a\u06a9\u0631\u0627\u0631 \u06cc\u0627 \u0645\u0631\u062d\u0644\u0647 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u06cc\u0627\u0628\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u067e\u0633 \u0627\u0632 \u0645\u0642\u062f\u0627\u0631 \u0645\u0639\u06cc\u0646\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u062a\u06a9\u0631\u0627\u0631\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc\u060c \u0648\u0632\u0646\u200c\u0647\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u062a\u062d\u062a \u062a\u0623\u062b\u06cc\u0631 \u0631\u0648\u0646\u062f \u06a9\u0644\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u0628\u0644\u06a9\u0647 \u062a\u062d\u062a \u062a\u0623\u062b\u06cc\u0631 \u0646\u0648\u06cc\u0632 \u063a\u06cc\u0631\u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u06a9\u0647 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u062f\u0631 \u062a\u0645\u0627\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0628\u0647 \u0627\u0631\u062b \u0645\u06cc\u200c\u0631\u0633\u062f\u060c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u0634\u0628\u06a9\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u062a\u062d\u062a \u062a\u0623\u062b\u06cc\u0631 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062e\u0627\u0635 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f \u0648 \u0642\u0627\u062f\u0631 \u0628\u0647 \u062a\u0639\u0645\u06cc\u0645 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u062c\u0645\u0639\u06cc\u062a \u06a9\u0644\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 (\u06cc\u0639\u0646\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0647\u0646\u0648\u0632 \u062f\u06cc\u062f\u0647 \u0646\u0634\u062f\u0647 \u0627\u0633\u062a) \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0645\u0648\u0636\u0648\u0639\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u062f\u0631 \u0645\u0648\u0631\u062f \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0630\u06a9\u0631 \u06a9\u0631\u062f\u0645 \u0631\u0648\u06cc API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 TensorFlow \u06a9\u0648\u062a\u0627\u0647\u06cc \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a.  \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0637\u0648\u0631 \u062f\u0648\u0631\u0647 \u0627\u06cc \u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634 \u0634\u06a9\u0633\u062a\u0647 \u0634\u0648\u062f \u0648 \u0631\u0648\u0634 \u062a\u0639\u0645\u06cc\u0645 \u0645\u062f\u0644 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06cc\u0627 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0634\u0648\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0644\u062d\u0638\u0647 \u0628\u0647 \u0622\u0646\u0686\u0647 \u06a9\u0647 <code>evaluate(...)<\/code> \u062a\u0627\u0628\u0639 \u0628\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0631\u0648\u062c\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u062a\u06a9\u0631\u0627\u0631 \u062d\u0644\u0642\u0647 \u0627\u0648\u0644 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u062f.<\/p>\n<pre><code class=\"hljs\">evaluations(<span class=\"hljs-number\">0<\/span>)\n<\/code><\/pre>\n<pre><code class=\"hljs\">{'average_loss': 31.116383, 'global_step': 400, 'loss': 3111.6382}\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f\u060c \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062a\u0644\u0641\u0627\u062a (\u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627) \u0648 \u0645\u062c\u0645\u0648\u0639 \u0636\u0631\u0631 (\u0645\u062c\u0645\u0648\u0639 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627) \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u0631\u062d\u0644\u0647 \u0622\u0645\u0648\u0632\u0634 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 400 \u0645\u0631\u062d\u0644\u0647 \u0627\u0633\u062a\u060c \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062f\u0647\u062f.  \u0686\u06cc\u0632\u06cc \u06a9\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u062f\u0631 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f\u060c \u0631\u0648\u0646\u062f\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0636\u0631\u0631\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0645 \u0648 \u0628\u06cc\u0634 \u0628\u0647 \u0637\u0648\u0631 \u0645\u062f\u0627\u0648\u0645 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0648\u0627\u0632\u06cc \u06a9\u0627\u0647\u0634 \u0645\u06cc \u06cc\u0627\u0628\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u062f\u0631 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0631\u0627\u0632\u0634 \u062f\u0631 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0632\u0645\u0627\u0646\u200c\u0647\u0627\u060c \u062f\u0631 \u0648\u0627\u0642\u0639 \u062f\u0631 \u0646\u0642\u0637\u0647\u200c\u0627\u06cc \u06a9\u0647 \u0628\u0631\u0627\u0632\u0634 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0634\u0631\u0648\u0639 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u06a9\u0627\u0647\u0634\u200c\u0647\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u062e\u0648\u062f \u0645\u0634\u0627\u0647\u062f\u0647 \u0646\u062e\u0648\u0627\u0647\u062f \u06a9\u0631\u062f. <code>evaluate(...)<\/code> \u0631\u0648\u0634.  \u0627\u06cc\u0646\u062c\u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0645\u0648\u0632\u0634 \u0628\u06cc\u0634\u062a\u0631 \u0645\u062f\u0644 \u0631\u0627 \u062a\u0631\u062c\u06cc\u062d\u0627\u064b \u062f\u0631\u0633\u062a \u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u062a\u0648\u0642\u0641 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0632 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u062a\u06a9\u0631\u0627\u0631\u0647\u0627 \u062f\u0627\u0631\u06cc\u0645\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062a\u0627\u0628\u0639\u06cc \u0627\u0632 \u0645\u0631\u0627\u062d\u0644 \u0622\u0645\u0648\u0632\u0634\u06cc \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u0645 \u06a9\u0647 \u0645\u062f\u0644 \u062e\u0648\u062f \u0631\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0622\u0645\u0648\u0632\u0634 \u0646\u062f\u0627\u062f\u0647\u200c\u0627\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0645\u0646 \u0627\u0632 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u067e\u0631\u0627\u06a9\u0646\u062f\u06af\u06cc \u0633\u0627\u062f\u0647 \u0627\u0632 matplotlib \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f <code>pyplot<\/code> \u0645\u062f\u0648\u0644.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n%matplotlib inline\n\n\nplt.rcParams(<span class=\"hljs-string\">'figure.figsize'<\/span>) = (<span class=\"hljs-number\">14<\/span>, <span class=\"hljs-number\">10<\/span>)\n\nloss_values = (ev(<span class=\"hljs-string\">'loss'<\/span>) <span class=\"hljs-keyword\">for<\/span> ev <span class=\"hljs-keyword\">in<\/span> evaluations)\ntraining_steps = (ev(<span class=\"hljs-string\">'global_step'<\/span>) <span class=\"hljs-keyword\">for<\/span> ev <span class=\"hljs-keyword\">in<\/span> evaluations)\n\nplt.scatter(x=training_steps, y=loss_values)\nplt.xlabel(<span class=\"hljs-string\">'Training steps (Epochs = steps \/ 2)'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Loss (SSE)'<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/using-machine-learning-predict-weather-part-3-3.png\" alt=\"\u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u062a\u0645\u0631\u06cc\u0646 (SSE)\" title=\"\"><\/p>\n<p>\u0633\u0631\u062f!  \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0627\u0644\u0627 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u06a9\u0647 \u067e\u0633 \u0627\u0632 \u062a\u0645\u0627\u0645 \u0622\u0646 \u062a\u06a9\u0631\u0627\u0631\u0647\u0627\u060c \u0645\u062f\u0644 \u0631\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0631\u0627\u0632\u0634 \u0646\u062f\u0627\u062f\u0647 \u0627\u0645\u060c \u0632\u06cc\u0631\u0627 \u0636\u0631\u0631\u0647\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0647\u0631\u06af\u0632 \u062a\u063a\u06cc\u06cc\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u062f\u0631 \u062c\u0647\u062a \u0628\u0647 \u0633\u0645\u062a \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0627\u0641\u0632\u0627\u06cc\u0634\u06cc \u0646\u0634\u0627\u0646 \u0646\u0645\u06cc \u062f\u0647\u0646\u062f.  \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u0645 \u0628\u0627 \u062e\u06cc\u0627\u0644 \u0631\u0627\u062d\u062a \u062d\u0631\u06a9\u062a \u06a9\u0646\u0645 \u0631\u0648\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0628\u0627\u0642\u06cc\u200c\u0645\u0627\u0646\u062f\u0647 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062f\u0645\u0627\u06cc \u0647\u0648\u0627.<\/p>\n<p>\u0645\u0634\u0627\u0628\u0647 \u062f\u0648 \u0631\u0648\u0634 \u0631\u06af\u0631\u0633\u06cc\u0648\u0631 \u062f\u06cc\u06af\u0631 \u06a9\u0647 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0645\u060c <code>predict(...)<\/code> \u0631\u0648\u0634 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u06cc\u06a9 <code>input_fn<\/code> \u06a9\u0647 \u0645\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u062c\u062f\u062f \u0627\u0632 \u0622\u0646 \u0639\u0628\u0648\u0631 \u062e\u0648\u0627\u0647\u0645 \u06a9\u0631\u062f <code>wx_input_fn(...)<\/code>\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0631\u0627 \u0628\u0647 \u0622\u0646 \u062a\u062d\u0648\u06cc\u0644 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>num_epochs<\/code> \u06cc\u06a9\u06cc \u0628\u0648\u062f\u0646 \u0648 <code>shuffle<\/code> \u0646\u0627\u062f\u0631\u0633\u062a \u0628\u0648\u062f\u0646 \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u0628\u0647 \u0637\u0648\u0631 \u0645\u062a\u0648\u0627\u0644\u06cc \u062a\u0645\u0627\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u062a\u063a\u0630\u06cc\u0647 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u0645\u0646 \u0645\u0642\u062f\u0627\u0631\u06cc \u0642\u0627\u0644\u0628\u200c\u0628\u0646\u062f\u06cc \u062f\u06cc\u06a9\u062a\u0647\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u0634\u0648\u0646\u062f\u0647\u200c\u0627\u06cc \u06a9\u0647 \u0627\u0632 the \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u0645 <code>predict(...)<\/code> \u0631\u0648\u0634 \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u0645\u0646 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 \u0646\u0627\u0686\u06cc\u0632 \u0627\u0632 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0645.  \u0633\u067e\u0633 \u0627\u0632 \u0622\u0631\u0627\u06cc\u0647 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627 \u0628\u0627 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc sklearn \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0645 <code>explained_variance_score(...)<\/code>\u060c <code>mean_absolute_error(...)<\/code>\u060c \u0648 <code>median_absolute_error(...)<\/code> \u0628\u0631\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0645\u06cc\u0632\u0627\u0646 \u0645\u0648\u0641\u0642\u06cc\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u062f\u0631 \u0631\u0627\u0628\u0637\u0647 \u0628\u0627 \u0627\u0647\u062f\u0627\u0641 \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 <code>y_test<\/code>.  \u0627\u06cc\u0646 \u0628\u0647 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u0647 \u0645\u06cc \u06af\u0648\u06cc\u062f \u06a9\u0647 \u0642\u0627\u0628\u0644\u06cc\u062a \u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u062f\u0644 \u0686\u06cc\u0633\u062a.<\/p>\n<pre><code class=\"hljs\">pred = regressor.predict(input_fn=wx_input_fn(X_test,\n                                              num_epochs=<span class=\"hljs-number\">1<\/span>,\n                                              shuffle=<span class=\"hljs-literal\">False<\/span>))\npredictions = np.array((p(<span class=\"hljs-string\">'predictions'<\/span>)(<span class=\"hljs-number\">0<\/span>) <span class=\"hljs-keyword\">for<\/span> p <span class=\"hljs-keyword\">in<\/span> pred))\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"The Explained Variance: %.2f\"<\/span> % explained_variance_score(\n                                            y_test, predictions))  \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"The Mean Absolute Error: %.2f degrees Celcius\"<\/span> % mean_absolute_error(\n                                            y_test, predictions))  \n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"The Median Absolute Error: %.2f degrees Celcius\"<\/span> % median_absolute_error(\n                                            y_test, predictions))\n<\/code><\/pre>\n<pre><code class=\"hljs\">INFO:tensorflow:Restoring parameters from tf_wx_model\/model.ckpt-40000\nThe Explained Variance: 0.88\nThe Mean Absolute Error: 3.11 degrees Celcius\nThe Median Absolute Error: 2.51 degrees Celcius\n<\/code><\/pre>\n<p>\u0645\u0646 \u0627\u0632 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0634\u0627\u0628\u0647 \u0645\u0642\u0627\u0644\u0647 \u0642\u0628\u0644\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u06a9\u0646\u06cc\u06a9 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u0645 \u062a\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0628\u0644\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0627 \u0647\u0645 \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0646\u06cc\u0645.  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u0627\u06cc\u0646 \u062f\u0648 \u0645\u062f\u0644 \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u0634\u0627\u0628\u0647 \u0639\u0645\u0644 \u06a9\u0631\u062f\u0646\u062f \u0648 \u0645\u062f\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0633\u0627\u062f\u0647 \u062a\u0631 \u06a9\u0645\u06cc \u0628\u0647\u062a\u0631 \u0627\u0633\u062a.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u06cc\u06a9 \u067e\u0632\u0634\u06a9 \u0632\u06cc\u0631\u06a9 \u0645\u0637\u0645\u0626\u0646\u0627\u064b \u0686\u0646\u062f\u06cc\u0646 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0641\u0631\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631 (\u0646\u0631\u062e \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc\u060c \u0639\u0631\u0636 \u0648 \u0639\u0645\u0642) \u0627\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u06a9\u0645\u06cc \u0622\u0646 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u062f\u060c \u0627\u0645\u0627 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u0627\u06cc\u0646 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u0628\u0647 \u0645\u062f\u0644 \u0628\u0647\u06cc\u0646\u0647 \u0646\u0632\u062f\u06cc\u06a9 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u0646\u06a9\u062a\u0647 \u0627\u06cc \u0631\u0627 \u0645\u0637\u0631\u062d \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0642\u0627\u0628\u0644 \u0630\u06a9\u0631 \u0627\u0633\u062a\u060c \u0628\u0647 \u0646\u062f\u0631\u062a \u0686\u0646\u06cc\u0646 \u0627\u0633\u062a \u0648 \u0642\u0637\u0639\u0627\u064b \u062a\u0648\u0635\u06cc\u0647 \u0646\u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0628\u0647 \u0622\u0646 \u0627\u0639\u062a\u0645\u0627\u062f \u06a9\u0646\u06cc\u0645. \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u06cc\u0627 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u062f\u0627\u063a \u062f\u0631 \u062c\u0627\u0645\u0639\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646.  \u0647\u06cc\u0686 \u062f\u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u06cc\u06a9\u0633\u0627\u0646 \u0646\u06cc\u0633\u062a\u0646\u062f \u0648 \u0647\u06cc\u0686 \u0645\u062f\u0644\u06cc \u067e\u0627\u062f\u0634\u0627\u0647 \u0646\u06cc\u0633\u062a.  \u062a\u0646\u0647\u0627 \u0631\u0627\u0647 \u0628\u0631\u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u062f\u0644 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0648\u0627\u0642\u0639\u0627\u064b \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f.  \u0633\u067e\u0633 \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0631\u062f\u06cc\u062f\u060c \u0645\u0639\u0627\u0648\u0636\u0647 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u0641\u0633\u06cc\u0631\u067e\u0630\u06cc\u0631\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.<\/p>\n<h2 id=\"resources\"><span class=\"ez-toc-section\" id=\"%d9%85%d9%86%d8%a7%d8%a8%d8%b9\"><\/span>\u0645\u0646\u0627\u0628\u0639<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0622\u06cc\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u060c \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0648 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0631\u0627 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f\u061f  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0686\u0646\u062f \u0645\u0646\u0628\u0639 \u0639\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639 \u0634\u0645\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\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>\u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u06cc TensorFlow \u0631\u0627 \u0628\u0631\u0627\u06cc \u0632\u06cc\u0631\u06a9\u0644\u0627\u0633 \u0627\u0632 \u067e\u06cc\u0634 \u0622\u0645\u0627\u062f\u0647 \u0634\u062f\u0647 \u062a\u062e\u0645\u06cc\u0646\u06af\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a. <code>DNNRegressor<\/code>.  \u062f\u0631 \u0637\u0648\u0644 \u0631\u0627\u0647\u060c \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc\u060c \u0646\u0638\u0631\u06cc\u0647 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc\u060c \u0631\u0648\u0634 \u0622\u0645\u0648\u0632\u0634 \u0622\u0646\u0647\u0627 \u0648 \u0627\u0647\u0645\u06cc\u062a \u0622\u06af\u0627\u0647\u06cc \u0627\u0632 \u062e\u0637\u0631\u0627\u062a \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0631\u0627\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u062f\u0627\u062f\u0645. process.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0627\u06cc\u0646 process \u0627\u0632 \u0633\u0627\u062e\u062a \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0646 \u0645\u062f\u0644\u06cc \u0633\u0627\u062e\u062a\u0647 \u0627\u0645 \u06a9\u0647 \u0642\u0627\u062f\u0631 \u0627\u0633\u062a \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062f\u0645\u0627\u06cc \u0631\u0648\u0632 \u0628\u0639\u062f \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u0634\u062f\u0647 \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0627\u0648\u0644 \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u062f.  \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0622\u0646\u0686\u0647 \u06af\u0641\u062a\u0647 \u0634\u062f\u060c \u0645\u0646 \u0645\u06cc \u062e\u0648\u0627\u0647\u0645 \u0644\u062d\u0638\u0647 \u0627\u06cc \u0648\u0642\u062a \u0628\u06af\u0630\u0627\u0631\u0645 \u062a\u0627 \u0642\u0635\u062f \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0633\u0631\u06cc\u0627\u0644 \u0631\u0648\u0634\u0646 \u06a9\u0646\u0645.  \u0647\u062f\u0641 \u0627\u0635\u0644\u06cc \u0645\u0646 \u0633\u0627\u062e\u062a\u0646 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u06cc\u0627 \u0645\u0642\u0627\u0644\u0647 \u0641\u0639\u0644\u06cc \u0646\u0628\u0648\u062f\u0647 \u0627\u0633\u062a. \u0631\u0648\u06cc \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc\u060c \u0627\u0645\u0627 \u0627\u0647\u062f\u0627\u0641 \u0645\u0646 \u0627\u0646\u062c\u0627\u0645 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0628\u0648\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<ol>\n<li>\u0698\u0646\u0631\u0627\u0644 \u0631\u0627 \u0646\u0634\u0627\u0646 \u062f\u0647\u06cc\u062f process \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647 \u062a\u062d\u0644\u06cc\u0644\u06cc (\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u0639\u0644\u0645 \u062f\u0627\u062f\u0647\u060c \u0647\u0631 \u0686\u06cc\u0632 \u062f\u06cc\u06af\u0631\u06cc&#8230;) \u0627\u0632 \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u06a9\u062a\u0634\u0627\u0641\u06cc\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644\u060c \u0633\u0627\u062e\u062a \u0645\u062f\u0644\u060c \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644.<\/li>\n<li>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u062d\u0628\u0648\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646\u060c StatsModels \u0648 Scikit Learn\u060c \u0631\u0648\u0634 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u0639\u0646\u06cc\u200c\u062f\u0627\u0631 \u0631\u0627 \u06a9\u0647 \u0645\u0641\u0631\u0648\u0636\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u062a\u06a9\u0646\u06cc\u06a9 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0631\u0627 \u0646\u0642\u0636 \u0646\u0645\u06cc\u200c\u06a9\u0646\u0646\u062f\u060c \u0646\u0634\u0627\u0646 \u062f\u0647\u06cc\u062f.<\/li>\n<li>\u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow API \u0633\u0637\u062d \u0628\u0627\u0644\u0627 \u0631\u0627 \u0646\u0634\u0627\u0646 \u062f\u0647\u06cc\u062f \u0648 \u0628\u0647 \u0622\u0646\u0686\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u062a\u0645\u0627\u0645 \u0622\u0646 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u0627\u0646\u062a\u0632\u0627\u0639\u06cc \u062f\u0631 \u062d\u0627\u0644 \u0631\u062e \u062f\u0627\u062f\u0646 \u0627\u0633\u062a\u060c \u0634\u0647\u0648\u062f\u06cc \u0628\u062f\u0647\u06cc\u062f.<\/li>\n<li>\u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0633\u0627\u0626\u0644 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0631\u0627\u0632\u0634 \u06cc\u06a9 \u0645\u062f\u0644 \u0628\u062d\u062b \u06a9\u0646\u06cc\u062f.<\/li>\n<li>\u0627\u0647\u0645\u06cc\u062a \u0622\u0632\u0645\u0627\u06cc\u0634 \u0628\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u06cc\u06a9 \u0646\u0648\u0639 \u0645\u062f\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u0634\u06a9\u0644 \u062a\u0648\u0636\u06cc\u062d \u062f\u0647\u06cc\u062f.<\/li>\n<\/ol>\n<p>\u0645\u0645\u0646\u0648\u0646 \u06a9\u0647 \u062e\u0648\u0627\u0646\u062f\u06cc\u062f.  \u0627\u0645\u06cc\u062f\u0648\u0627\u0631\u0645 \u0634\u0645\u0627 \u0647\u0645 \u0645\u062b\u0644 \u0645\u0646 \u0627\u0632 \u0627\u06cc\u0646 \u0633\u0631\u06cc\u0627\u0644 \u0644\u0630\u062a \u0628\u0631\u062f\u0647 \u0628\u0627\u0634\u06cc\u062f \u0648 \u0645\u062b\u0644 \u0647\u0645\u06cc\u0634\u0647 \u0627\u0632 \u0646\u0638\u0631\u0627\u062a \u0648 \u0627\u0646\u062a\u0642\u0627\u062f\u0627\u062a \u0627\u0633\u062a\u0642\u0628\u0627\u0644 \u0645\u06cc \u06a9\u0646\u0645.<\/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 1403-01-28 20:02:03<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;16646&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\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0622\u0628 \u0648 \u0647\u0648\u0627: \u0642\u0633\u0645\u062a 3&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 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