{"id":15710,"date":"2024-01-15T22:16:29","date_gmt":"2024-01-15T18:46:29","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/"},"modified":"2024-01-15T22:16:29","modified_gmt":"2024-01-15T18:46:29","slug":"%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/","title":{"rendered":"\u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0627 Numpy \u0648 Scikit-Learn"},"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%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d9%86%db%8c%d8%a7%d8%b2_%d8%a8%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c\" >\u0646\u06cc\u0627\u0632 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc<\/a><\/li><\/ul><\/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%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c\" >\u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d8%aa%d9%88%d9%84%db%8c%d8%af_%d9%86%d9%85%d9%88%d9%86%d9%87_%d9%87%d8%a7%db%8c_1_%d8%a8%d8%b9%d8%af%db%8c_%d8%a7%d8%b2_%d8%aa%d9%88%d8%b2%db%8c%d8%b9_%d9%87%d8%a7%db%8c_%d8%b4%d9%86%d8%a7%d8%ae%d8%aa%d9%87_%d8%b4%d8%af%d9%87\" >\u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc 1 \u0628\u0639\u062f\u06cc \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0647\u0627\u06cc \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647<\/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%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%aa%d8%b1%da%a9%db%8c%d8%a8%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86\" >\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d8%b1%d8%a7_make_friedman_%d8%ae%d8%a7%d9%86%d9%88%d8%a7%d8%af%d9%87_%d8%aa%d9%88%d8%a7%d8%a8%d8%b9\" >\u0631\u0627 make_friedman \u062e\u0627\u0646\u0648\u0627\u062f\u0647 \u062a\u0648\u0627\u0628\u0639<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#make_classification_%d8%a8%d8%b1%d8%a7%db%8c_%d9%85%d8%b3%d8%a7%d8%a6%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_n-class\" >make_classification()  \u0628\u0631\u0627\u06cc \u0645\u0633\u0627\u0626\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc n-Class<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#make_multilabel_classification_%d8%a8%d8%b1%d8%a7%db%8c_%d9%85%d8%b3%d8%a7%d8%a6%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%da%86%d9%86%d8%af_%d8%a8%d8%b1%da%86%d8%b3%d8%a8%db%8c\" >make_multilabel_classification()  \u0628\u0631\u0627\u06cc \u0645\u0633\u0627\u0626\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0628\u0631\u0686\u0633\u0628\u06cc<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%aa%d8%b1%da%a9%db%8c%d8%a8%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%ae%d9%88%d8%b4%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#make_blobs\" >make_blobs()<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#make_circles\" >make_circles()<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d8%aa%d9%88%d9%84%db%8c%d8%af_%d9%86%d9%85%d9%88%d9%86%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b4%d8%aa%d9%82_%d8%b4%d8%af%d9%87_%d8%a7%d8%b2_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%88%d8%b1%d9%88%d8%af%db%8c\" >\u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0645\u0634\u062a\u0642 \u0634\u062f\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d9%88%d9%84%db%8c%d8%af-%d8%af%d8%a7%d8%af%d9%87-%d9%87%d8%a7%db%8c-%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c-%d8%a8%d8%a7-numpy-%d9%88-scikit-learn\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87_%da%af%db%8c%d8%b1%db%8c\" >\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc<\/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\"> 7<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u062c\u0632\u0626\u06cc\u0627\u062a \u062a\u0648\u0644\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>\u0646\u0627\u0627\u0645\u067e\u06cc<\/em> \u0648 <em>Scikit- Learn<\/em> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627  \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u062a\u0648\u0644\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0648\u0644\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0627\u0647\u062f\u0627\u0641 \u0645\u062e\u062a\u0644\u0641\u060c \u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0648 \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0628\u062d\u062b \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u062a\u0648\u0632\u06cc\u0639 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0648\u062c\u0648\u062f \u0631\u0627 \u062a\u0642\u0644\u06cc\u062f \u06a9\u0646\u062f.<\/p>\n<h3 id=\"theneedforsyntheticdata\"><span class=\"ez-toc-section\" id=\"%d9%86%db%8c%d8%a7%d8%b2_%d8%a8%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c\"><\/span>\u0646\u06cc\u0627\u0632 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647\u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0646\u0642\u0634 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645\u06cc \u062f\u0627\u0631\u0646\u062f.  \u0627\u06cc\u0646 \u0628\u0647 \u0645\u0627 \u0627\u0645\u06a9\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062c\u062f\u06cc\u062f\u06cc \u0631\u0627 \u062a\u062d\u062a \u0634\u0631\u0627\u06cc\u0637 \u06a9\u0646\u062a\u0631\u0644 \u0634\u062f\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0639\u0628\u0627\u0631\u062a \u062f\u06cc\u06af\u0631\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc\u06cc \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0648\u06cc\u0698\u06af\u06cc \u06cc\u0627 \u0631\u0641\u062a\u0627\u0631 \u0628\u0633\u06cc\u0627\u0631 \u062e\u0627\u0635\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u0627 \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646 \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0639\u0627\u062f\u0644 \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u0646\u0627\u0645\u062a\u0639\u0627\u062f\u0644\u060c \u06cc\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0633\u0637\u0648\u062d \u0645\u062e\u062a\u0644\u0641 \u0646\u0648\u06cc\u0632 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0627 \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u062e\u0637 \u067e\u0627\u06cc\u0647 \u0627\u0632 \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062e\u0648\u062f \u062a\u062d\u062a \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0645\u0648\u0627\u0631\u062f \u0628\u0633\u06cc\u0627\u0631 \u062f\u06cc\u06af\u0631\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0646\u06cc\u0627\u0632 \u0628\u0627\u0634\u062f.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0633\u062e\u062a \u06cc\u0627 \u067e\u0631\u0647\u0632\u06cc\u0646\u0647 \u0628\u0627\u0634\u062f\u060c \u06cc\u0627 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0645\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f.  \u062f\u0644\u06cc\u0644 \u062f\u06cc\u06af\u0631 \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u0627\u0633\u062a\u060c \u062c\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0646\u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u062f\u06cc\u06af\u0631\u0627\u0646 \u0641\u0627\u0634 \u06a9\u0631\u062f.<\/p>\n<h2 id=\"settingup\"><span class=\"ez-toc-section\" id=\"%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c\"><\/span>\u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0642\u0628\u0644 \u0627\u0632 \u0646\u0648\u0634\u062a\u0646 \u06a9\u062f \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\n\n<span class=\"hljs-keyword\">import<\/span> matplotlib.colors\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">from<\/span> mpl_toolkits.mplot3d <span class=\"hljs-keyword\">import<\/span> Axes3D\n\n\n<span class=\"hljs-keyword\">import<\/span> sklearn.datasets <span class=\"hljs-keyword\">as<\/span> dt\n\n\n<span class=\"hljs-keyword\">from<\/span> sklearn.neighbors <span class=\"hljs-keyword\">import<\/span> KernelDensity\n<span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> GridSearchCV\n<\/code><\/pre>\n<p>\u0633\u067e\u0633\u060c \u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0686\u0646\u062f \u0645\u062a\u063a\u06cc\u0631 \u0645\u0641\u06cc\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a:<\/p>\n<pre><code class=\"hljs\">\nseed = <span class=\"hljs-number\">11<\/span>\nrand_state = <span class=\"hljs-number\">11<\/span>\n\n\ncolor_map = plt.cm.get_cmap(<span class=\"hljs-string\">'RdYlBu'<\/span>)\ncolor_map_discrete = matplotlib.colors.LinearSegmentedColormap.from_list(<span class=\"hljs-string\">\"\"<\/span>, (<span class=\"hljs-string\">\"red\"<\/span>,<span class=\"hljs-string\">\"cyan\"<\/span>,<span class=\"hljs-string\">\"magenta\"<\/span>,<span class=\"hljs-string\">\"blue\"<\/span>))\n<\/code><\/pre>\n<h2 id=\"generating1dsamplesfromknowndistributions\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%88%d9%84%db%8c%d8%af_%d9%86%d9%85%d9%88%d9%86%d9%87_%d9%87%d8%a7%db%8c_1_%d8%a8%d8%b9%d8%af%db%8c_%d8%a7%d8%b2_%d8%aa%d9%88%d8%b2%db%8c%d8%b9_%d9%87%d8%a7%db%8c_%d8%b4%d9%86%d8%a7%d8%ae%d8%aa%d9%87_%d8%b4%d8%af%d9%87\"><\/span>\u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc 1 \u0628\u0639\u062f\u06cc \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0647\u0627\u06cc \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0645\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0648\u0644\u06cc\u062f \u0646\u0642\u0627\u0637 \u0646\u0645\u0648\u0646\u0647 \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0647\u0627\u06cc \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u062f\u0631 \u06cc\u06a9 \u0628\u0639\u062f\u06cc \u0635\u062d\u0628\u062a \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p>\u0631\u0627 <code>random<\/code> \u0645\u0627\u0698\u0648\u0644 \u0627\u0632 <code>numpy<\/code> \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0631\u0627\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0627\u0639\u062f\u0627\u062f \u062a\u0635\u0627\u062f\u0641\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u062a\u0648\u0632\u06cc\u0639 \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u062b\u0627\u0628\u062a \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0647\u062f\u0627\u0641 \u0628\u0627\u0632\u062a\u0648\u0644\u06cc\u062f\u060c \u0645\u0627 \u0631\u0627 \u062a\u0635\u0648\u06cc\u0628 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>seed<\/code> \u0628\u0647 <code>RandomState<\/code> \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f \u0648 \u062a\u0627 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0627\u0632 \u0647\u0645\u0627\u0646 seed \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0647\u0645\u0627\u0646 \u0634\u0645\u0627\u0631\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u062a\u0648\u0632\u06cc\u0639 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0646\u06cc\u0645\u060c \u0645\u0627\u0646\u0646\u062f <code>uniform<\/code>\u060c <code>normal<\/code>\u060c <code>exponential<\/code>\u0648 \u063a\u06cc\u0631\u0647\u060c \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u060c \u0648 \u06cc\u06a9 \u0644\u06cc\u0633\u062a \u0631\u0646\u06af\u06cc \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u0645\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u06cc\u0646 \u0627\u06cc\u0646 \u0645\u0648\u0627\u0631\u062f \u0628\u0647 \u0635\u0648\u0631\u062a \u0628\u0635\u0631\u06cc \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">rand = np.random.RandomState(seed)\n\ndist_list = (<span class=\"hljs-string\">'uniform'<\/span>,<span class=\"hljs-string\">'normal'<\/span>,<span class=\"hljs-string\">'exponential'<\/span>,<span class=\"hljs-string\">'lognormal'<\/span>,<span class=\"hljs-string\">'chisquare'<\/span>,<span class=\"hljs-string\">'beta'<\/span>)\nparam_list = (<span class=\"hljs-string\">'-1,1'<\/span>,<span class=\"hljs-string\">'0,1'<\/span>,<span class=\"hljs-string\">'1'<\/span>,<span class=\"hljs-string\">'0,1'<\/span>,<span class=\"hljs-string\">'2'<\/span>,<span class=\"hljs-string\">'0.5,0.9'<\/span>)\ncolors_list = (<span class=\"hljs-string\">'green'<\/span>,<span class=\"hljs-string\">'blue'<\/span>,<span class=\"hljs-string\">'yellow'<\/span>,<span class=\"hljs-string\">'cyan'<\/span>,<span class=\"hljs-string\">'magenta'<\/span>,<span class=\"hljs-string\">'pink'<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0627\u06cc\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0642\u0627\u0644\u0628 \u0647\u0627\u06cc \u0641\u0631\u0639\u06cc a \u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>Figure<\/code> \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0648 \u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0631\u0648\u06cc \u0627\u06cc\u0646 \u062a\u0648\u0632\u06cc\u0639\u200c\u0647\u0627\u060c \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0648 \u0631\u0646\u06af\u200c\u0647\u0627\u06cc \u0645\u0646\u0627\u0633\u0628 \u0631\u0627 \u0628\u0647 \u0622\u0646\u0647\u0627 \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0632 \u0637\u0631\u06cc\u0642 <code>eval()<\/code> \u062a\u0627\u0628\u0639\u06cc \u06a9\u0647 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0639\u0628\u0627\u0631\u062a \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>rand.exponential(1, 5000)<\/code> \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0646\u0645\u0627\u06cc\u06cc \u0645\u0642\u06cc\u0627\u0633 <code>1<\/code> \u0648 \u0627\u0646\u062f\u0627\u0632\u0647 <code>5000<\/code>.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0627\u0632 \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>dist_list<\/code>\u060c <code>param_list<\/code> \u0648 <code>color_list<\/code> \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0627\u06cc\u0646 \u062a\u0645\u0627\u0633 \u0647\u0627:<\/p>\n<pre><code class=\"hljs\">fig,ax = plt.subplots(nrows=<span class=\"hljs-number\">2<\/span>, ncols=<span class=\"hljs-number\">3<\/span>,figsize=(<span class=\"hljs-number\">12<\/span>,<span class=\"hljs-number\">7<\/span>))\nplt_ind_list = np.arange(<span class=\"hljs-number\">6<\/span>)+<span class=\"hljs-number\">231<\/span>\n\n<span class=\"hljs-keyword\">for<\/span> dist, plt_ind, param, colors <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>(dist_list, plt_ind_list, param_list, colors_list):\n    x = <span class=\"hljs-built_in\">eval<\/span>(<span class=\"hljs-string\">'rand.'<\/span>+dist+<span class=\"hljs-string\">'('<\/span>+param+<span class=\"hljs-string\">',5000)'<\/span>)\n\n    plt.subplot(plt_ind)\n    plt.hist(x,bins=<span class=\"hljs-number\">50<\/span>,color=colors)\n    plt.title(dist)\n\nfig.subplots_adjust(hspace=<span class=\"hljs-number\">0.4<\/span>,wspace=<span class=\"hljs-number\">.3<\/span>) \nplt.suptitle(<span class=\"hljs-string\">'Sampling from Various Distributions'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nplt.show()\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0645\u0646\u062c\u0631 \u0628\u0647:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-1.png\" alt=\"\u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc 1 \u0628\u0639\u062f\u06cc \u0628\u0627 numpy\" title=\"\"><\/p>\n<h2 id=\"syntheticdataforregression\"><span class=\"ez-toc-section\" id=\"%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%aa%d8%b1%da%a9%db%8c%d8%a8%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86\"><\/span>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0627 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/datasets.html\">\u0628\u0633\u062a\u0647 sklearn.datasets<\/a> \u062f\u0627\u0631\u0627\u06cc \u062a\u0648\u0627\u0628\u0639 \u0628\u0631\u0627\u06cc <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/datasets\/sample_generators.html\">\u062a\u0648\u0644\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc<\/a> \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0637\u06cc \u0648 \u063a\u06cc\u0631 \u062e\u0637\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0645\u0648\u0631\u062f \u0628\u062d\u062b \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0631\u0627 <code>make_regression()<\/code> \u062a\u0627\u0628\u0639 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0648\u0631\u0648\u062f\u06cc (\u0631\u06af\u0631\u0633\u06cc\u0648\u0646) \u0631\u0627 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u062e\u0631\u0648\u062c\u06cc \u0622\u0646\u0647\u0627 (\u0647\u062f\u0641) \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f.  \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0632\u06cc\u0631 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0631\u062f:<\/p>\n<ol>\n<li><code>n_features<\/code>  &#8211; \u062a\u0639\u062f\u0627\u062f \u0627\u0628\u0639\u0627\u062f\/\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647<\/li>\n<li><code>noise<\/code>  &#8211; \u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0646\u0648\u06cc\u0632 \u06af\u0627\u0648\u0633\u06cc<\/li>\n<li><code>n_samples<\/code>  &#8211; \u062a\u0639\u062f\u0627\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627<\/li>\n<\/ol>\n<p>\u0645\u062a\u063a\u06cc\u0631 \u067e\u0627\u0633\u062e \u062a\u0631\u06a9\u06cc\u0628\u06cc \u062e\u0637\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u0631\u0648\u062f\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<blockquote>\n<p>\u0645\u062a\u063a\u06cc\u0631 \u067e\u0627\u0633\u062e \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0648\u0627\u0628\u0633\u062a\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc \u062f\u06cc\u06af\u0631\u060c \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u062e\u0627\u0635\u060c \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0647\u062f\u0641 \u0627\u0633\u062a \u06a9\u0647 \u0633\u0639\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0645\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u062f\u06cc\u06af\u0631 \u0622\u0646 \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<\/blockquote>\n<p>\u062f\u0631 \u06a9\u062f \u0632\u06cc\u0631\u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u0627\u06cc \u0633\u0637\u0648\u062d \u0645\u062e\u062a\u0644\u0641 \u0646\u0648\u06cc\u0632 \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u0627\u0632 \u062f\u0648 \u0648\u06cc\u0698\u06af\u06cc \u0648\u0631\u0648\u062f\u06cc \u0648 \u06cc\u06a9 \u0645\u062a\u063a\u06cc\u0631 \u0647\u062f\u0641 \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u062a\u063a\u06cc\u06cc\u0631 \u0631\u0646\u06af \u0646\u0642\u0627\u0637 \u0648\u0631\u0648\u062f\u06cc\u060c \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0631 \u0645\u0642\u062f\u0627\u0631 \u0647\u062f\u0641\u060c \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.  \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0628\u0647\u062a\u0631 \u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0648 \u0628\u0639\u062f\u06cc \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u0627\u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0627 \u0627\u0628\u0639\u0627\u062f \u0628\u0627\u0644\u0627 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f <code>n_features<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631:<\/p>\n<pre><code class=\"hljs\">map_colors = plt.cm.get_cmap(<span class=\"hljs-string\">'RdYlBu'<\/span>)\nfig,ax = plt.subplots(nrows=<span class=\"hljs-number\">2<\/span>, ncols=<span class=\"hljs-number\">3<\/span>,figsize=(<span class=\"hljs-number\">16<\/span>,<span class=\"hljs-number\">7<\/span>))\nplt_ind_list = np.arange(<span class=\"hljs-number\">6<\/span>)+<span class=\"hljs-number\">231<\/span>\n\n<span class=\"hljs-keyword\">for<\/span> noise,plt_ind <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>((<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">0.1<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">10<\/span>,<span class=\"hljs-number\">100<\/span>,<span class=\"hljs-number\">1000<\/span>),plt_ind_list): \n    x,y = dt.make_regression(n_samples=<span class=\"hljs-number\">1000<\/span>,\n                             n_features=<span class=\"hljs-number\">2<\/span>,\n                             noise=noise,\n                             random_state=rand_state)\n\n    plt.subplot(plt_ind)\n    my_scatter_plot = plt.scatter(x(:,<span class=\"hljs-number\">0<\/span>),\n                                  x(:,<span class=\"hljs-number\">1<\/span>),\n                                  c=y,\n                                  vmin=<span class=\"hljs-built_in\">min<\/span>(y),\n                                  vmax=<span class=\"hljs-built_in\">max<\/span>(y),\n                                  s=<span class=\"hljs-number\">35<\/span>,\n                                  cmap=color_map)\n    \n    plt.title(<span class=\"hljs-string\">'noise: '<\/span>+<span class=\"hljs-built_in\">str<\/span>(noise))\n    plt.colorbar(my_scatter_plot)\n    \nfig.subplots_adjust(hspace=<span class=\"hljs-number\">0.3<\/span>,wspace=<span class=\"hljs-number\">.3<\/span>)\nplt.suptitle(<span class=\"hljs-string\">'make_regression() With Different Noise Levels'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nplt.show()\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 1000 \u0646\u0645\u0648\u0646\u0647\u060c \u0628\u0627 \u062f\u0648 \u0645\u062a\u063a\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc (\u0648\u06cc\u0698\u06af\u06cc) \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.  \u0628\u0633\u062a\u0647 \u0628\u0647 \u0631\u0648\u06cc \u0633\u0637\u062d \u0633\u0631 \u0648 \u0635\u062f\u0627 (<code>0..1000<\/code>\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a \u0631\u0648\u06cc \u0637\u0631\u062d \u067e\u0631\u0627\u06a9\u0646\u062f\u06af\u06cc:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-2.png\" alt=\"\u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\" title=\"\"><\/p>\n<h3 id=\"themake_friedmanfamilyoffunctions\"><span class=\"ez-toc-section\" id=\"%d8%b1%d8%a7_make_friedman_%d8%ae%d8%a7%d9%86%d9%88%d8%a7%d8%af%d9%87_%d8%aa%d9%88%d8%a7%d8%a8%d8%b9\"><\/span>\u0631\u0627 <code>make_friedman<\/code> \u062e\u0627\u0646\u0648\u0627\u062f\u0647 \u062a\u0648\u0627\u0628\u0639<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0633\u0647 \u0646\u0633\u062e\u0647 \u0627\u0632 \u0622\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>make_friedman?()<\/code> \u062a\u0627\u0628\u0639 (\u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 <code>?<\/code> \u0628\u0627 \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 <code>{1,2,3}<\/code>).<\/p>\n<p>\u0627\u06cc\u0646 \u062a\u0648\u0627\u0628\u0639 \u0645\u062a\u063a\u06cc\u0631 \u0647\u062f\u0641 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0631\u06a9\u06cc\u0628 \u063a\u06cc\u0631 \u062e\u0637\u06cc \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u0646\u062f \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0628\u0647 \u062a\u0641\u0635\u06cc\u0644 \u0634\u0631\u062d \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<ul>\n<li>\n<p><code>make_friedman1()<\/code>: <code>n_features<\/code> \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0628\u0627\u06cc\u062f \u062d\u062f\u0627\u0642\u0644 5 \u0628\u0627\u0634\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062d\u062f\u0627\u0642\u0644 \u062a\u0639\u062f\u0627\u062f 5 \u0628\u0639\u062f \u0648\u0631\u0648\u062f\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0647\u062f\u0641 \u062a\u0648\u0633\u0637:<br \/>$$<br \/>y(x) = 10 * \\sin(\\pi x_0 x_1) + 20(x_2 &#8211; 0.5)^2 + 10x_3 + 5x_4 + \\text{\u0646\u0648\u06cc\u0632}<br \/>$$<\/p>\n<\/li>\n<li>\n<p><code>make_friedman2()<\/code>: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062f\u0627\u0631\u0627\u06cc 4 \u0628\u0639\u062f \u0648\u0631\u0648\u062f\u06cc \u0627\u0633\u062a.  \u0645\u062a\u063a\u06cc\u0631 \u067e\u0627\u0633\u062e \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<\/li>\n<\/ul>\n<p>$$<br \/>y(x) = \\sqrt{(x_0^2+x_1 x_2 &#8211; \\frac{1}{(x_1 x_3)^2})} + \\text{\u0646\u0648\u06cc\u0632}<br \/>$$<\/p>\n<ul>\n<li><code>make_friedman3()<\/code>: \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u062d\u0627\u0644\u062a \u0646\u06cc\u0632 \u062f\u0627\u0631\u0627\u06cc 4 \u0628\u0639\u062f \u0645\u06cc \u0628\u0627\u0634\u062f.  \u0645\u062a\u063a\u06cc\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/li>\n<\/ul>\n<p>$$<br \/>y(x) = \\arctan(\\frac{x_1 x_2 -\\frac{1}{(x_1 x_3)}}{x_0})+\\text{\u0646\u0648\u06cc\u0632}<br \/>$$<\/p>\n<p>\u06a9\u062f \u0632\u06cc\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u062a\u0648\u0627\u0628\u0639 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0633\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0627\u0648\u0644 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0633\u0647 \u0628\u0639\u062f\u06cc \u062a\u0631\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0631\u0646\u06af \u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0645\u062a\u063a\u06cc\u0631 \u0647\u062f\u0641 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">fig = plt.figure(figsize=(<span class=\"hljs-number\">18<\/span>,<span class=\"hljs-number\">5<\/span>))\n\nx,y = dt.make_friedman1(n_samples=<span class=\"hljs-number\">1000<\/span>,n_features=<span class=\"hljs-number\">5<\/span>,random_state=rand_state)\nax = fig.add_subplot(<span class=\"hljs-number\">131<\/span>, projection=<span class=\"hljs-string\">'3d'<\/span>)\nmy_scatter_plot = ax.scatter(x(:,<span class=\"hljs-number\">0<\/span>), x(:,<span class=\"hljs-number\">1<\/span>),x(:,<span class=\"hljs-number\">2<\/span>), c=y, cmap=color_map)\nfig.colorbar(my_scatter_plot)\nplt.title(<span class=\"hljs-string\">'make_friedman1'<\/span>)\n\nx,y = dt.make_friedman2(n_samples=<span class=\"hljs-number\">1000<\/span>,random_state=rand_state)\nax = fig.add_subplot(<span class=\"hljs-number\">132<\/span>, projection=<span class=\"hljs-string\">'3d'<\/span>)\nmy_scatter_plot = ax.scatter(x(:,<span class=\"hljs-number\">0<\/span>), x(:,<span class=\"hljs-number\">1<\/span>),x(:,<span class=\"hljs-number\">2<\/span>), c=y, cmap=color_map)\nfig.colorbar(my_scatter_plot)\nplt.title(<span class=\"hljs-string\">'make_friedman2'<\/span>)\n\nx,y = dt.make_friedman3(n_samples=<span class=\"hljs-number\">1000<\/span>,random_state=rand_state)\nax = fig.add_subplot(<span class=\"hljs-number\">133<\/span>, projection=<span class=\"hljs-string\">'3d'<\/span>)\nmy_scatter_plot = ax.scatter(x(:,<span class=\"hljs-number\">0<\/span>), x(:,<span class=\"hljs-number\">1<\/span>),x(:,<span class=\"hljs-number\">2<\/span>), c=y, cmap=color_map)\nfig.colorbar(my_scatter_plot)\nplt.suptitle(<span class=\"hljs-string\">'make_friedman?() for Non-Linear Data'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nplt.title(<span class=\"hljs-string\">'make_friedman3'<\/span>)\n\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-3.png\" alt=\"\u062e\u0627\u0646\u0648\u0627\u062f\u0647 \u06a9\u0627\u0631\u06a9\u0631\u062f\u0647\u0627\u06cc \u0641\u0631\u06cc\u062f\u0645\u0646 \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f\" title=\"\"><\/p>\n<h2 id=\"syntheticdataforclassification\"><span class=\"ez-toc-section\" id=\"%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b5%d9%86%d9%88%d8%b9%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><em>Scikit- Learn<\/em> \u062f\u0627\u0631\u0627\u06cc \u062a\u0648\u0627\u0628\u0639 \u0633\u0627\u062f\u0647 \u0648 \u0622\u0633\u0627\u0646 \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062f\u0631 <code>sklearn.dataset<\/code> \u0645\u062f\u0648\u0644.  \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0686\u0646\u062f \u0645\u062b\u0627\u0644 \u0631\u0627 \u0645\u0631\u0648\u0631 \u06a9\u0646\u06cc\u0645.<\/p>\n<h3 id=\"make_classificationfornclassclassificationproblems\"><span class=\"ez-toc-section\" id=\"make_classification_%d8%a8%d8%b1%d8%a7%db%8c_%d9%85%d8%b3%d8%a7%d8%a6%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_n-class\"><\/span><code>make_classification()<\/code>  \u0628\u0631\u0627\u06cc \u0645\u0633\u0627\u0626\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc n-Class<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0631\u0627\u06cc \u0645\u0633\u0627\u0626\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc n \u06a9\u0644\u0627\u0633\u060c <code>make_classification()<\/code> \u062a\u0627\u0628\u0639 \u0686\u0646\u062f\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647 \u062f\u0627\u0631\u062f:<\/p>\n<ol>\n<li><code>class_sep<\/code>: \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0622\u06cc\u0627 \u0637\u0628\u0642\u0627\u062a \u0645\u062e\u062a\u0644\u0641 \u0628\u0627\u06cc\u062f \u06af\u0633\u062a\u0631\u062f\u0647 \u062a\u0631 \u0628\u0627\u0634\u0646\u062f \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0622\u0646\u0647\u0627 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0628\u0627\u0634\u062f<\/li>\n<li><code>n_features<\/code>: \u062a\u0639\u062f\u0627\u062f \u0627\u0645\u06a9\u0627\u0646\u0627\u062a<\/li>\n<li><code>n_redundant<\/code>: \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc<\/li>\n<li><code>n_repeated<\/code>: \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc<\/li>\n<li><code>n_classes<\/code>: \u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u06a9\u0644\u0627\u0633 \u0647\u0627<\/li>\n<\/ol>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u062f\u0648 \u0628\u0639\u062f\u06cc \u0628\u0633\u0627\u0632\u06cc\u0645.  \u0645\u0627 \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a <code>class_sep<\/code> \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627\u06cc\u0646\u0631\u06cc  \u0646\u0642\u0627\u0637 \u0631\u0646\u06af\u06cc \u06cc\u06a9\u0633\u0627\u0646 \u0645\u062a\u0639\u0644\u0642 \u0628\u0647 \u06cc\u06a9 \u06a9\u0644\u0627\u0633 \u0647\u0633\u062a\u0646\u062f.  \u0634\u0627\u06cc\u0627\u0646 \u0630\u06a9\u0631 \u0627\u0633\u062a \u06a9\u0647 \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0646\u0627\u0645\u062a\u0639\u0627\u062f\u0644 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">fig,ax = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>,figsize=(<span class=\"hljs-number\">16<\/span>,<span class=\"hljs-number\">5<\/span>))\nplt_ind_list = np.arange(<span class=\"hljs-number\">3<\/span>)+<span class=\"hljs-number\">131<\/span>\n\n<span class=\"hljs-keyword\">for<\/span> class_sep,plt_ind <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>((<span class=\"hljs-number\">0.1<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">10<\/span>),plt_ind_list):\n    x,y = dt.make_classification(n_samples=<span class=\"hljs-number\">1000<\/span>,\n                                 n_features=<span class=\"hljs-number\">2<\/span>,\n                                 n_repeated=<span class=\"hljs-number\">0<\/span>,\n                                 class_sep=class_sep,\n                                 n_redundant=<span class=\"hljs-number\">0<\/span>,\n                                 random_state=rand_state)\n\n    plt.subplot(plt_ind)\n    my_scatter_plot = plt.scatter(x(:,<span class=\"hljs-number\">0<\/span>),\n                                  x(:,<span class=\"hljs-number\">1<\/span>),\n                                  c=y,\n                                  vmin=<span class=\"hljs-built_in\">min<\/span>(y),\n                                  vmax=<span class=\"hljs-built_in\">max<\/span>(y),\n                                  s=<span class=\"hljs-number\">35<\/span>,\n                                  cmap=color_map_discrete)\n    plt.title(<span class=\"hljs-string\">'class_sep: '<\/span>+<span class=\"hljs-built_in\">str<\/span>(class_sep))\n\nfig.subplots_adjust(hspace=<span class=\"hljs-number\">0.3<\/span>,wspace=<span class=\"hljs-number\">.3<\/span>)\nplt.suptitle(<span class=\"hljs-string\">'make_classification() With Different class_sep Values'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-4.png\" alt=\"\u0628\u0631\u0627\u06cc \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc n \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u062f\" title=\"\"><\/p>\n<h3 id=\"make_multilabel_classificationformultilabelclassificationproblems\"><span class=\"ez-toc-section\" id=\"make_multilabel_classification_%d8%a8%d8%b1%d8%a7%db%8c_%d9%85%d8%b3%d8%a7%d8%a6%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%da%86%d9%86%d8%af_%d8%a8%d8%b1%da%86%d8%b3%d8%a8%db%8c\"><\/span><code>make_multilabel_classification()<\/code>  \u0628\u0631\u0627\u06cc \u0645\u0633\u0627\u0626\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0628\u0631\u0686\u0633\u0628\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><code>make_multilabel_classification()<\/code>  \u062a\u0627\u0628\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u0633\u0627\u0626\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0628\u0631\u0686\u0633\u0628\u06cc \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f.  \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u062f\u0627\u0631\u062f \u06a9\u0647 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u062a\u0631\u06cc\u0646 \u0622\u0646\u0647\u0627\u0633\u062a <code>n_label<\/code>\u060c \u06a9\u0647 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u0647\u0631 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0645\u0634\u06a9\u0644 \u0686\u0646\u062f \u0628\u0631\u0686\u0633\u0628\u06cc 4 \u06a9\u0644\u0627\u0633\u0647 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u0645\u060c \u0628\u0627 \u0628\u0631\u062f\u0627\u0631 \u0647\u062f\u0641 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0628\u0647 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u0634\u0648\u062f.  \u0646\u0642\u0627\u0637 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0646\u0645\u0627\u06cc\u0634 \u0627\u0639\u0634\u0627\u0631\u06cc \u0628\u0631\u062f\u0627\u0631 \u0628\u0631\u0686\u0633\u0628 \u0628\u0627\u06cc\u0646\u0631\u06cc \u0631\u0646\u06af \u0645\u06cc \u0634\u0648\u0646\u062f.  \u06a9\u062f \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0645\u062a\u0641\u0627\u0648\u062a \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f <code>n_label<\/code>\u060c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<pre><code class=\"hljs\">fig,ax = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>,figsize=(<span class=\"hljs-number\">16<\/span>,<span class=\"hljs-number\">5<\/span>))\nplt_ind_list = np.arange(<span class=\"hljs-number\">3<\/span>)+<span class=\"hljs-number\">131<\/span>\n\n<span class=\"hljs-keyword\">for<\/span> label,plt_ind <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>((<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">3<\/span>,<span class=\"hljs-number\">4<\/span>),plt_ind_list):\n    x,y = dt.make_multilabel_classification(n_samples=<span class=\"hljs-number\">1000<\/span>,\n                                            n_features=<span class=\"hljs-number\">2<\/span>,\n                                            n_labels=label,\n                                            n_classes=<span class=\"hljs-number\">4<\/span>,\n                                            random_state=rand_state)\n    target = np.<span class=\"hljs-built_in\">sum<\/span>(y*(<span class=\"hljs-number\">8<\/span>,<span class=\"hljs-number\">4<\/span>,<span class=\"hljs-number\">2<\/span>,<span class=\"hljs-number\">1<\/span>),axis=<span class=\"hljs-number\">1<\/span>)\n\n    plt.subplot(plt_ind)\n    my_scatter_plot = plt.scatter(x(:,<span class=\"hljs-number\">0<\/span>),\n                                  x(:,<span class=\"hljs-number\">1<\/span>),\n                                  c=target,\n                                  vmin=<span class=\"hljs-built_in\">min<\/span>(target),\n                                  vmax=<span class=\"hljs-built_in\">max<\/span>(target),\n                                  cmap=color_map)\n    plt.title(<span class=\"hljs-string\">'n_labels: '<\/span>+<span class=\"hljs-built_in\">str<\/span>(label))\n\nfig.subplots_adjust(hspace=<span class=\"hljs-number\">0.3<\/span>,wspace=<span class=\"hljs-number\">.3<\/span>)\nplt.suptitle(<span class=\"hljs-string\">'make_multilabel_classification() With Different n_labels Values'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-5.png\" alt=\"\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0628\u0631\u0686\u0633\u0628\u06cc\" title=\"\"><\/p>\n<h2 id=\"syntheticdataforclustering\"><span class=\"ez-toc-section\" id=\"%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%aa%d8%b1%da%a9%db%8c%d8%a8%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%ae%d9%88%d8%b4%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631\u0627\u06cc \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc\u060c <code>sklearn.datasets<\/code> \u0686\u0646\u062f\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f <code>make_blobs()<\/code> \u0648 <code>make_circles()<\/code> \u06a9\u0627\u0631\u06a9\u0631\u062f.<\/p>\n<h3 id=\"make_blobs\"><span class=\"ez-toc-section\" id=\"make_blobs\"><\/span><code>make_blobs()<\/code><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0631\u0627 <code>make_blobs()<\/code> \u062a\u0627\u0628\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0647\u0627\u06cc \u06af\u0627\u0648\u0633\u06cc \u0647\u0645\u0633\u0627\u0646\u06af\u0631\u062f \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f.  \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u060c \u062a\u0639\u062f\u0627\u062f \u0645\u0631\u0627\u06a9\u0632 \u0648 \u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0647\u0631 \u062e\u0648\u0634\u0647 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0645\u0634\u062e\u0635 \u06a9\u0631\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0648 \u0628\u0639\u062f\u06cc \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062e\u062a\u0644\u0641 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u0646\u062f <code>cluster_std<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631:<\/p>\n<pre><code class=\"hljs\">fig,ax = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>,figsize=(<span class=\"hljs-number\">16<\/span>,<span class=\"hljs-number\">5<\/span>))\nplt_ind_list = np.arange(<span class=\"hljs-number\">3<\/span>)+<span class=\"hljs-number\">131<\/span>\n\n<span class=\"hljs-keyword\">for<\/span> std,plt_ind <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>((<span class=\"hljs-number\">0.5<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">10<\/span>),plt_ind_list):\n    x, label = dt.make_blobs(n_features=<span class=\"hljs-number\">2<\/span>,\n                             centers=<span class=\"hljs-number\">4<\/span>,\n                             cluster_std=std,\n                             random_state=rand_state)\n\n    plt.subplot(plt_ind)\n    my_scatter_plot = plt.scatter(x(:,<span class=\"hljs-number\">0<\/span>),\n                                  x(:,<span class=\"hljs-number\">1<\/span>),\n                                  c=label,\n                                  vmin=<span class=\"hljs-built_in\">min<\/span>(label),\n                                  vmax=<span class=\"hljs-built_in\">max<\/span>(label),\n                                  cmap=color_map_discrete)\n    plt.title(<span class=\"hljs-string\">'cluster_std: '<\/span>+<span class=\"hljs-built_in\">str<\/span>(std))\n\nfig.subplots_adjust(hspace=<span class=\"hljs-number\">0.3<\/span>,wspace=<span class=\"hljs-number\">.3<\/span>)\nplt.suptitle(<span class=\"hljs-string\">'make_blobs() With Different cluster_std Values'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-6.png\" alt=\"\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc\" title=\"\"><\/p>\n<h3 id=\"make_circles\"><span class=\"ez-toc-section\" id=\"make_circles\"><\/span><code>make_circles()<\/code><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0631\u0627 <code>make_circles()<\/code> \u062a\u0627\u0628\u0639 \u062f\u0648 \u062f\u0627\u06cc\u0631\u0647 \u0645\u062a\u062d\u062f\u0627\u0644\u0645\u0631\u06a9\u0632 \u0628\u0627 \u0645\u0631\u06a9\u0632 \u06cc\u06a9\u0633\u0627\u0646\u060c \u06cc\u06a9\u06cc \u062f\u0631 \u062f\u0627\u062e\u0644 \u062f\u06cc\u06af\u0631\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0646\u0648\u06cc\u0632 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0639\u0648\u062c\u0627\u062c \u0631\u0627 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f.  \u0627\u06cc\u0646 \u0646\u0648\u0639 \u062f\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0642\u0631\u0627\u0628\u062a \u0645\u0641\u06cc\u062f \u0627\u0633\u062a.  \u06a9\u062f \u0632\u06cc\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062f\u0631 \u0633\u0637\u0648\u062d \u0645\u062e\u062a\u0644\u0641 \u0646\u0648\u06cc\u0632 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<pre><code class=\"hljs\">fig,ax = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>,figsize=(<span class=\"hljs-number\">16<\/span>,<span class=\"hljs-number\">5<\/span>))\nplt_ind_list = np.arange(<span class=\"hljs-number\">3<\/span>)+<span class=\"hljs-number\">131<\/span>\n\n<span class=\"hljs-keyword\">for<\/span> noise,plt_ind <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>((<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">0.1<\/span>,<span class=\"hljs-number\">1<\/span>),plt_ind_list):\n    x, label = dt.make_circles(noise=noise,random_state=rand_state)\n\n    plt.subplot(plt_ind)\n    my_scatter_plot = plt.scatter(x(:,<span class=\"hljs-number\">0<\/span>),\n                                  x(:,<span class=\"hljs-number\">1<\/span>),\n                                  c=label,\n                                  vmin=<span class=\"hljs-built_in\">min<\/span>(label),\n                                  vmax=<span class=\"hljs-built_in\">max<\/span>(label),\n                                  cmap=color_map_discrete)\n    plt.title(<span class=\"hljs-string\">'noise: '<\/span>+<span class=\"hljs-built_in\">str<\/span>(noise))\n\nfig.subplots_adjust(hspace=<span class=\"hljs-number\">0.3<\/span>,wspace=<span class=\"hljs-number\">.3<\/span>)\nplt.suptitle(<span class=\"hljs-string\">'make_circles() With Different Noise Levels'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-7.png\" alt=\"\u062f\u0627\u06cc\u0631\u0647 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0633\u0627\u0632\u06cc\u062f\" title=\"\"><\/p>\n<h2 id=\"generatingsamplesderivedfromaninputdataset\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%88%d9%84%db%8c%d8%af_%d9%86%d9%85%d9%88%d9%86%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b4%d8%aa%d9%82_%d8%b4%d8%af%d9%87_%d8%a7%d8%b2_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%88%d8%b1%d9%88%d8%af%db%8c\"><\/span>\u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0645\u0634\u062a\u0642 \u0634\u062f\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0627\u0647\u200c\u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0627\u0636\u0627\u0641\u06cc \u0627\u0632 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0648\u062c\u0648\u062f \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u06cc\u06a9 \u0631\u0648\u0634 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u06a9\u0647 \u0627\u0628\u062a\u062f\u0627 \u0686\u06af\u0627\u0644\u06cc \u0647\u0633\u062a\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0647\u0633\u062a\u0647 \u06af\u0627\u0648\u0633\u06cc \u062a\u062e\u0645\u06cc\u0646 \u0645\u06cc \u0632\u0646\u062f \u0648 \u0633\u067e\u0633 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u0631\u0627 \u0627\u0632 \u0627\u06cc\u0646 \u062a\u0648\u0632\u06cc\u0639 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062a\u0627\u0632\u0647 \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0686\u0647\u0631\u0647 \u0647\u0627\u06cc Olivetti\u060c \u0642\u0627\u0628\u0644 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u0645. <code>sklearn.datasets.fetch_olivetti_faces()<\/code>.  \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0627\u0631\u0627\u06cc 10 \u062a\u0635\u0648\u06cc\u0631 \u0645\u062e\u062a\u0644\u0641 \u0627\u0632 \u0686\u0647\u0631\u0647 40 \u0641\u0631\u062f \u0645\u062e\u062a\u0644\u0641 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f:<\/p>\n<ol>\n<li>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0686\u0647\u0631\u0647 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u06cc\u062f<\/li>\n<li>\u0645\u062f\u0644 \u0686\u06af\u0627\u0644\u06cc \u0647\u0633\u062a\u0647 \u0631\u0627 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f<\/li>\n<li>\u0627\u0632 \u0686\u06af\u0627\u0644\u06cc \u0647\u0633\u062a\u0647 \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u062f\u0627\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<\/li>\n<li>\u0646\u0645\u0627\u06cc\u0634 \u0686\u0647\u0631\u0647 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0648 \u0645\u0635\u0646\u0648\u0639\u06cc.<\/li>\n<\/ol>\n<pre><code class=\"hljs\">\nfaces = dt.fetch_olivetti_faces()\nX = faces.data\n\n\nbandwidth_params = {<span class=\"hljs-string\">'bandwidth'<\/span>: np.arange(<span class=\"hljs-number\">0.01<\/span>,<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">0.05<\/span>)}\ngrid_search = GridSearchCV(KernelDensity(), bandwidth_params)\ngrid_search.fit(X)\nkde = grid_search.best_estimator_\n\n\nnew_faces = kde.sample(<span class=\"hljs-number\">8<\/span>, random_state=rand_state)\n\n\nfig,ax = plt.subplots(nrows=<span class=\"hljs-number\">2<\/span>, ncols=<span class=\"hljs-number\">8<\/span>,figsize=(<span class=\"hljs-number\">18<\/span>,<span class=\"hljs-number\">6<\/span>),subplot_kw=<span class=\"hljs-built_in\">dict<\/span>(xticks=(), yticks=()))\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> np.arange(<span class=\"hljs-number\">8<\/span>):\n    ax(<span class=\"hljs-number\">0<\/span>,i).imshow(X(<span class=\"hljs-number\">10<\/span>*i,:).reshape(<span class=\"hljs-number\">64<\/span>,<span class=\"hljs-number\">64<\/span>),cmap=plt.cm.gray)\n    ax(<span class=\"hljs-number\">1<\/span>,i).imshow(new_faces(i,:).reshape(<span class=\"hljs-number\">64<\/span>,<span class=\"hljs-number\">64<\/span>),cmap=plt.cm.gray)\nax(<span class=\"hljs-number\">0<\/span>,<span class=\"hljs-number\">3<\/span>).set_title(<span class=\"hljs-string\">'Original Data'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nax(<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">3<\/span>).set_title(<span class=\"hljs-string\">'Synthetic Data'<\/span>,fontsize=<span class=\"hljs-number\">20<\/span>)\nfig.subplots_adjust(wspace=<span class=\"hljs-number\">.1<\/span>)\nplt.show()\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/generating-synthetic-data-with-numpy-and-scikit-learn-8.png\" alt=\"\u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 on \u0648\u0631\u0648\u062f\u06cc\" title=\"\"><\/p>\n<p>\u0686\u0647\u0631\u0647\u200c\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647\u200c\u0627\u0646\u062f \u0646\u0645\u0648\u0646\u0647\u200c\u0627\u06cc \u0627\u0632 8 \u0686\u0647\u0631\u0647 \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0627\u0632 \u0628\u06cc\u0646 400 \u062a\u0635\u0648\u06cc\u0631 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647\u200c\u0627\u0646\u062f \u062a\u0627 \u0627\u06cc\u062f\u0647\u200c\u0627\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646\u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u0686\u06af\u0648\u0646\u0647 \u0627\u0633\u062a.  \u0645\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0647\u0631 \u062a\u0639\u062f\u0627\u062f \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u06cc\u062f \u062a\u0648\u0644\u06cc\u062f \u06a9\u0646\u06cc\u0645 <code>sample()<\/code> \u062a\u0627\u0628\u0639.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 8 \u0646\u0645\u0648\u0646\u0647 \u062c\u062f\u06cc\u062f \u062a\u0648\u0644\u06cc\u062f \u0634\u062f.  \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0686\u0647\u0631\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0644\u0632\u0648\u0645\u0627\u064b \u0628\u0627 \u0686\u0647\u0631\u0647 \u0634\u062e\u0635\u06cc \u06a9\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627\u06cc \u0622\u0646 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0645\u0637\u0627\u0628\u0642\u062a \u0646\u062f\u0627\u0631\u062f.<\/p>\n<h2 id=\"conclusions\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87_%da%af%db%8c%d8%b1%db%8c\"><\/span>\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0627 \u0686\u0646\u062f \u0631\u0648\u0634 \u062a\u0648\u0644\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0631\u0627\u06cc \u0645\u0634\u06a9\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641 \u0622\u0634\u0646\u0627 \u0634\u062f\u06cc\u0645.  \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0647 \u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062a\u062d\u062a \u0634\u0631\u0627\u06cc\u0637 \u06a9\u0646\u062a\u0631\u0644\u200c\u0634\u062f\u0647 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u06cc\u06a9 \u062e\u0637 \u067e\u0627\u06cc\u0647 \u0628\u0631\u0627\u06cc \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u067e\u0627\u06cc\u062a\u0648\u0646 \u062f\u0627\u0631\u0627\u06cc \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u062a\u0648\u0627\u0628\u0639 \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.  \u062f\u0631\u06a9 \u0627\u06cc\u0646\u06a9\u0647 \u06a9\u062f\u0627\u0645 \u062a\u0648\u0627\u0628\u0639 \u0648 API\u0647\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0631\u0627\u06cc \u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u062e\u0627\u0635 \u0634\u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u0646\u062f \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a.<\/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 1403-01-15 22:16:03<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;15710&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;\u062a\u0648\u0644\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0628\u0627 Numpy \u0648 Scikit-Learn&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        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rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634\u060c \u062c\u0632\u0626\u06cc\u0627\u062a \u062a\u0648\u0644\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0627\u0627\u0645\u067e\u06cc \u0648 Scikit- Learn \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0627\u0632 \u062a\u0648\u0632\u06cc\u0639 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0628\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc 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[&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":15711,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-15710","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/15710","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=15710"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/15710\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/15711"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=15710"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=15710"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=15710"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}