{"id":1935,"date":"2023-07-24T09:32:53","date_gmt":"2023-07-24T09:32:53","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d9%85%d8%aa%d9%88%d8%b3%d8%b7-%d8%a7%d9%84%d9%87%d9%86%d8%af%d8%b3%d9%8a-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/"},"modified":"2023-07-24T09:32:53","modified_gmt":"2023-07-24T09:32:53","slug":"%d8%a7%d9%84%d9%85%d8%aa%d9%88%d8%b3%d8%b7-%d8%a7%d9%84%d9%87%d9%86%d8%af%d8%b3%d9%8a-%d8%a8%d9%8a%d8%ab%d9%88%d9%86","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d9%85%d8%aa%d9%88%d8%b3%d8%b7-%d8%a7%d9%84%d9%87%d9%86%d8%af%d8%b3%d9%8a-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0641\u064a \u0644\u063a\u0629 \u0628\u0627\u064a\u062b\u0648\u0646 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)"},"content":{"rendered":"

<\/p>\n

\n

\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646:<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 SciPy<\/strong><\/span><\/p>\n

 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([value1, value2, value3, ...])\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 NumPy<\/strong><\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\n    return<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean<\/span>\ng_mean([value1, value2, value3, ...])<\/span><\/strong><\/pre>\n
 \u0633\u062a\u0639\u0648\u062f \u0643\u0644\u062a\u0627 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0628\u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u062a\u0645\u0627\u0645\u064b\u0627.<\/span><\/p>\n
 \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0643\u0644 \u0645\u0646 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u0642 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 1: \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 SciPy<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 gmean()<\/strong> \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0645\u0643\u062a\u0628\u0629 SciPy<\/a> \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0645\u0646 \u0627\u0644\u0642\u064a\u0645:<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029\n<\/strong><\/pre>\n
 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u064a\u062a\u0628\u064a\u0646 \u0623\u0646\u0647 4.8179<\/strong> .<\/span><\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 NumPy<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0643\u062a\u0627\u0628\u0629 \u062f\u0627\u0644\u0629 \u0645\u062e\u0635\u0635\u0629 \u0644\u062d\u0633\u0627\u0628 \u0645\u062a\u0648\u0633\u0637 \u0647\u0646\u062f\u0633\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u0645\u0636\u0645\u0646\u0629 \u0641\u064a \u0645\u0643\u062a\u0628\u0629 NumPy<\/a> :<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\nreturn<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean\n<\/span>g_mean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029<\/span>\n<\/strong><\/pre>\n
 \u0648\u062a\u0628\u064a\u0646 \u0623\u0646 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0647\u0648 4.8179<\/strong> \u060c \u0648\u0647\u0648 \u0645\u0627 \u064a\u0637\u0627\u0628\u0642 \u0646\u062a\u064a\u062c\u0629 \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u0633\u0627\u0628\u0642.<\/span><\/p>\n
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u0623\u0635\u0641\u0627\u0631<\/strong><\/span><\/h3>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644\u062a\u0627 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0633\u062a\u0631\u062c\u0639\u0627\u0646 \u0635\u0641\u0631\u064b\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0647\u0646\u0627\u0643 \u0623\u0635\u0641\u0627\u0631 \u0641\u064a \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0627\u0644\u062a\u064a \u062a\u0639\u0645\u0644 \u0628\u0647\u0627.<\/span><\/p>\n
 \u0644\u0630\u0627\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0635\u0641\u0627\u0631 \u0645\u0646 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0642\u0628\u0644 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a:<\/span><\/p>\n
 #create array with some zeros\n<\/span>x = [1, 0, 0, 6, 6, 0, 8, 9]\n\n#remove zeros from array \n<\/span>x_new = [i for<\/span> i in<\/span> x if<\/span> i != 0]\n\n#view updated array\n<\/span>print<\/span> (x_new)\n\n[1, 6, 6, 8, 9]\n<\/span><\/strong><\/pre>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u062e\u0637\u0623 \u0627\u0644\u0645\u0631\u0628\u0639 (MSE) \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u062e\u0637\u0623 \u0627\u0644\u0645\u0637\u0644\u0642 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0644\u062d\u0633\u0627\u0628 \u0627\u0644\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 SciPy from scipy. stats import gmean #calculate geometric mean gmean([value1, value2, value3, …]) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 NumPy import numpy as np #define custom function def g_mean(x): a = np. log (x) return np. exp ( a.mean ()) #calculate geometric […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0641\u064a \u0644\u063a\u0629 \u0628\u0627\u064a\u062b\u0648\u0646 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629) - \u0639\u0644\u0645 \u0627\u0644\u0625\u062d\u0635\u0627\u0621<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0644\u0645\u0635\u0641\u0648\u0641\u0629 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0645\u062a\u0648\u0633\u0637-\u0627\u0644\u0647\u0646\u062f\u0633\u064a-\u0628\u064a\u062b\u0648\u0646\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0647\u0646\u062f\u0633\u064a \u0641\u064a \u0644\u063a\u0629 \u0628\u0627\u064a\u062b\u0648\u0646 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629) - \u0639\u0644\u0645 \u0627\u0644\u0625\u062d\u0635\u0627\u0621\" \/>\n<meta property=\"og:description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c 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