{"id":11580,"date":"2020-07-21T00:15:51","date_gmt":"2020-07-21T00:15:51","guid":{"rendered":"https:\/\/holypython.com\/?page_id=11580"},"modified":"2021-03-28T00:32:54","modified_gmt":"2021-03-28T00:32:54","slug":"support-vector-machine-optimization-parameters","status":"publish","type":"page","link":"https:\/\/holypython.com\/svm\/support-vector-machine-optimization-parameters\/","title":{"rendered":"Support Vector Machine Optimization &#038; Parameters"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"11580\" class=\"elementor elementor-11580\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0f8d747 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0f8d747\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-45dc281\" data-id=\"45dc281\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-abe1e13 elementor-widget elementor-widget-heading\" data-id=\"abe1e13\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Support Vector Machine Optimization<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bde1f08 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bde1f08\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_top&quot;:&quot;mountains&quot;,&quot;shape_divider_bottom&quot;:&quot;mountains&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-shape elementor-shape-top\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1000 100\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" opacity=\"0.33\" d=\"M473,67.3c-203.9,88.3-263.1-34-320.3,0C66,119.1,0,59.7,0,59.7V0h1000v59.7 c0,0-62.1,26.1-94.9,29.3c-32.8,3.3-62.8-12.3-75.8-22.1C806,49.6,745.3,8.7,694.9,4.7S492.4,59,473,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" opacity=\"0.66\" d=\"M734,67.3c-45.5,0-77.2-23.2-129.1-39.1c-28.6-8.7-150.3-10.1-254,39.1 s-91.7-34.4-149.2,0C115.7,118.3,0,39.8,0,39.8V0h1000v36.5c0,0-28.2-18.5-92.1-18.5C810.2,18.1,775.7,67.3,734,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" d=\"M766.1,28.9c-200-57.5-266,65.5-395.1,19.5C242,1.8,242,5.4,184.8,20.6C128,35.8,132.3,44.9,89.9,52.5C28.6,63.7,0,0,0,0 h1000c0,0-9.9,40.9-83.6,48.1S829.6,47,766.1,28.9z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1000 100\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" opacity=\"0.33\" d=\"M473,67.3c-203.9,88.3-263.1-34-320.3,0C66,119.1,0,59.7,0,59.7V0h1000v59.7 c0,0-62.1,26.1-94.9,29.3c-32.8,3.3-62.8-12.3-75.8-22.1C806,49.6,745.3,8.7,694.9,4.7S492.4,59,473,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" opacity=\"0.66\" d=\"M734,67.3c-45.5,0-77.2-23.2-129.1-39.1c-28.6-8.7-150.3-10.1-254,39.1 s-91.7-34.4-149.2,0C115.7,118.3,0,39.8,0,39.8V0h1000v36.5c0,0-28.2-18.5-92.1-18.5C810.2,18.1,775.7,67.3,734,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" d=\"M766.1,28.9c-200-57.5-266,65.5-395.1,19.5C242,1.8,242,5.4,184.8,20.6C128,35.8,132.3,44.9,89.9,52.5C28.6,63.7,0,0,0,0 h1000c0,0-9.9,40.9-83.6,48.1S829.6,47,766.1,28.9z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-fadde0d\" data-id=\"fadde0d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8fe6bd9 elementor-widget elementor-widget-heading\" data-id=\"8fe6bd9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Support Vector Machine Optimization Parameters Explained<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae00cfb elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"ae00cfb\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-arrow-alt-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Cfloat<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-arrow-alt-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">kernel<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-arrow-alt-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">degree<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-arrow-alt-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">gamma<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-arrow-alt-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">tol<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-arrow-alt-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">cache_size<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-58dda2f elementor-widget elementor-widget-text-editor\" data-id=\"58dda2f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>These are the most commonly adjusted parameters with\u00a0<i><b>Support Vector Machines. <\/b>Let&#8217;s take a deeper look at what they are used for and how to change their values:<\/i><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77f8050 elementor-align-left elementor-widget elementor-widget-raven-divider\" data-id=\"77f8050\" data-element_type=\"widget\" data-widget_type=\"raven-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"raven-widget-wrapper\">\r\n\t\t\t<div class=\"raven-divider\">\r\n\t\t\t\t<span class=\"raven-divider-line raven-divider-solid\"><\/span>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a06fc2 elementor-widget elementor-widget-text-editor\" data-id=\"3a06fc2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>C<\/b>: (default: <b>1.0<\/b>) This is a very important parameter for Support Vector Machines and it signifies the regularization value (Negatively correlated with regularization strength).<\/p><p>Always a positive float should be assigned to <strong>C<\/strong> parameter.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea23a94 elementor-align-left elementor-widget elementor-widget-raven-divider\" data-id=\"ea23a94\" data-element_type=\"widget\" data-widget_type=\"raven-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"raven-widget-wrapper\">\r\n\t\t\t<div class=\"raven-divider\">\r\n\t\t\t\t<span class=\"raven-divider-line raven-divider-solid\"><\/span>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3eee21d elementor-widget elementor-widget-text-editor\" data-id=\"3eee21d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>kernel<\/b>: (default: &#8220;<b>rbf<\/b>&#8220;) Signifies the kernel selection for SVM Machine Learning Algorithm.<\/p><p>&#8220;rbf&#8221;: A very popular kernel, which stands for &#8220;radial basis function&#8221; will be applied.<\/p><p>&#8220;<u>linear<\/u>&#8220;: Liner kernel will be used.<\/p><p>&#8220;<u>poly<\/u>&#8220;: Polynomial kernel will be used.<\/p><p>&#8220;sigmoid&#8221;: Sigmoid kernel will be used.<\/p><p>&#8220;<u>precomputed<\/u>&#8220;: Pre-computed kernel will be used.<\/p><p>This parameter can also be a callable\u00a0user-defined\u00a0function. Kernel matrix will be based on an equal dimension matrix.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-db71b21 elementor-align-left elementor-widget elementor-widget-raven-divider\" data-id=\"db71b21\" data-element_type=\"widget\" data-widget_type=\"raven-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"raven-widget-wrapper\">\r\n\t\t\t<div class=\"raven-divider\">\r\n\t\t\t\t<span class=\"raven-divider-line raven-divider-solid\"><\/span>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1bf515f elementor-widget elementor-widget-text-editor\" data-id=\"1bf515f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: bold;\">degree<\/span>: (default: <strong>3<\/strong>) If you choose &#8220;poly&#8221; as your Support Vector Machine kernel, this parameter will denote the degree of your polynomial. It&#8217;s irrelevant for other kernels.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa23e20 elementor-align-left elementor-widget elementor-widget-raven-divider\" data-id=\"aa23e20\" data-element_type=\"widget\" data-widget_type=\"raven-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"raven-widget-wrapper\">\r\n\t\t\t<div class=\"raven-divider\">\r\n\t\t\t\t<span class=\"raven-divider-line raven-divider-solid\"><\/span>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1404754 elementor-widget elementor-widget-text-editor\" data-id=\"1404754\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: bold;\">gamma<\/span>: (default: &#8220;<strong>scale<\/strong>&#8220;) When you choose &#8220;rbf&#8221;, &#8220;poly&#8221; or &#8220;sigmoid&#8221; as kernel gamma signifies the kernel coefficient.<\/p><p>&#8220;<span style=\"text-decoration: underline;\">scale<\/span>&#8220;: 1 \/ (n_features * X.var()) will be the kernel coefficient<\/p><p>&#8220;<span style=\"text-decoration: underline;\">auto<\/span>&#8220;: 1 \/ n_features will be the kernel coefficient<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f8adad3 elementor-align-left elementor-widget elementor-widget-raven-divider\" data-id=\"f8adad3\" data-element_type=\"widget\" data-widget_type=\"raven-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"raven-widget-wrapper\">\r\n\t\t\t<div class=\"raven-divider\">\r\n\t\t\t\t<span class=\"raven-divider-line raven-divider-solid\"><\/span>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3662de elementor-widget elementor-widget-text-editor\" data-id=\"e3662de\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: bold;\">tol<\/span>: (default: <strong>0.001<\/strong>) This parameter signifies the tolerance for stopping and it takes float values.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b76651e elementor-align-left elementor-widget elementor-widget-raven-divider\" data-id=\"b76651e\" data-element_type=\"widget\" data-widget_type=\"raven-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"raven-widget-wrapper\">\r\n\t\t\t<div class=\"raven-divider\">\r\n\t\t\t\t<span class=\"raven-divider-line raven-divider-solid\"><\/span>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d520636 elementor-widget elementor-widget-text-editor\" data-id=\"d520636\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: bold;\">cache_size<\/span>: (default <strong>200<\/strong>) This parameter can be used to manage thesize of the kernel &#8216;s cache. It&#8217;s unit refers to Megabytes.<\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-4fc241d\" data-id=\"4fc241d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2fc2cbb elementor-widget elementor-widget-heading\" data-id=\"2fc2cbb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Examples:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25f0895 elementor-widget elementor-widget-html\" data-id=\"25f0895\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<pre rel=\"Python\"><code>clf = svm.SVC(kernel='linear')<\/code><\/pre>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fed88b4 elementor-widget elementor-widget-html\" data-id=\"fed88b4\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<pre rel=\"Python\"><code>clf = svm.SVC(C = 0.5)<\/code><\/pre>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2da8e6c elementor-widget elementor-widget-html\" data-id=\"2da8e6c\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<pre rel=\"Python\"><code>clf = svm.SVC(kernel='sigmoid', gamma=\"auto\")<\/code><\/pre>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6a4002 elementor-widget elementor-widget-html\" data-id=\"b6a4002\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<pre rel=\"Python\"><code>clf = svm.SVC(tol = 0.0015)<\/code><\/pre>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c11fe3c elementor-widget elementor-widget-html\" data-id=\"c11fe3c\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<pre rel=\"Python\"><code>clf = svm.SVC(cache_size = 1000)<\/code><\/pre>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d522ac4 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d522ac4\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5327eb4\" data-id=\"5327eb4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ec04b8d elementor-widget elementor-widget-heading\" data-id=\"ec04b8d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">More parameters<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-de19696 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"de19696\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_top&quot;:&quot;mountains&quot;,&quot;shape_divider_bottom&quot;:&quot;mountains&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-shape elementor-shape-top\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1000 100\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" opacity=\"0.33\" d=\"M473,67.3c-203.9,88.3-263.1-34-320.3,0C66,119.1,0,59.7,0,59.7V0h1000v59.7 c0,0-62.1,26.1-94.9,29.3c-32.8,3.3-62.8-12.3-75.8-22.1C806,49.6,745.3,8.7,694.9,4.7S492.4,59,473,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" opacity=\"0.66\" d=\"M734,67.3c-45.5,0-77.2-23.2-129.1-39.1c-28.6-8.7-150.3-10.1-254,39.1 s-91.7-34.4-149.2,0C115.7,118.3,0,39.8,0,39.8V0h1000v36.5c0,0-28.2-18.5-92.1-18.5C810.2,18.1,775.7,67.3,734,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" d=\"M766.1,28.9c-200-57.5-266,65.5-395.1,19.5C242,1.8,242,5.4,184.8,20.6C128,35.8,132.3,44.9,89.9,52.5C28.6,63.7,0,0,0,0 h1000c0,0-9.9,40.9-83.6,48.1S829.6,47,766.1,28.9z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1000 100\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" opacity=\"0.33\" d=\"M473,67.3c-203.9,88.3-263.1-34-320.3,0C66,119.1,0,59.7,0,59.7V0h1000v59.7 c0,0-62.1,26.1-94.9,29.3c-32.8,3.3-62.8-12.3-75.8-22.1C806,49.6,745.3,8.7,694.9,4.7S492.4,59,473,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" opacity=\"0.66\" d=\"M734,67.3c-45.5,0-77.2-23.2-129.1-39.1c-28.6-8.7-150.3-10.1-254,39.1 s-91.7-34.4-149.2,0C115.7,118.3,0,39.8,0,39.8V0h1000v36.5c0,0-28.2-18.5-92.1-18.5C810.2,18.1,775.7,67.3,734,67.3z\"\/>\n\t<path class=\"elementor-shape-fill\" d=\"M766.1,28.9c-200-57.5-266,65.5-395.1,19.5C242,1.8,242,5.4,184.8,20.6C128,35.8,132.3,44.9,89.9,52.5C28.6,63.7,0,0,0,0 h1000c0,0-9.9,40.9-83.6,48.1S829.6,47,766.1,28.9z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f64bd35\" data-id=\"f64bd35\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-481a2ec elementor-widget elementor-widget-heading\" data-id=\"481a2ec\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><div data-id=\"4aeac7da\" data-element_type=\"widget\" data-widget_type=\"heading.default\" style=\"width: 850px; color: rgb(33, 37, 41); font-family: HelveticaNeue-Light, &quot;Helvetica Neue Light&quot;, &quot;Helvetica Neue&quot;, Helvetica, Arial, &quot;Lucida Grande&quot;, sans-serif; font-size: 18px; white-space: normal;\"><div style=\"padding: 0px 0px 5px;\"><h4>More Support Vector Machine Optimization Parameters for fine tuning<\/h4><\/div><\/div><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-436980f elementor-widget elementor-widget-text-editor\" data-id=\"436980f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Further on, these parameters can be used to fine tune Support Vector Machine Algorithms in Machine Learning applications.<\/p><ul><li><em>coef0,<\/em><\/li><li><i>shrinking<\/i><\/li><li><em>class_weight,<\/em><\/li><li><em>verbose,<\/em><\/li><li><em>max_iter<\/em><\/li><li>decision_function_shape<\/li><li>\u00a0break_ties<\/li><li>random_state<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12c0b79 elementor-align-left elementor-widget elementor-widget-raven-divider\" data-id=\"12c0b79\" data-element_type=\"widget\" data-widget_type=\"raven-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"raven-widget-wrapper\">\r\n\t\t\t<div class=\"raven-divider\">\r\n\t\t\t\t<span class=\"raven-divider-line raven-divider-solid\"><\/span>\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-3cafbb7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3cafbb7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-33f4603\" data-id=\"33f4603\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bd09c16 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"bd09c16\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-dot-circle\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tcoef0\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: 0.0)<\/i><br><br><i>This parameter only takes a float value and it signifies the coefficient in case poly or sigmoid kernels are used.\n<\/i>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c4f7bc elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"6c4f7bc\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-divide\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tverbose\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: False)<\/i><br><br><i>This parameter makes it possible to enable verbosity which is information output that can be displayed during the algorithm execution.<\/i>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12fa512 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"12fa512\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-divide\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tbreak_ties\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: False)<\/i><br><br><i><u>False<\/u>: First class in the tie will be returned.<\/i><br><br><i><u>True<\/u>: This parameter will be used to break ties. Can be computationally expensive.<\/i>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-71f7fb4\" data-id=\"71f7fb4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-45c954b elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"45c954b\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-circle-notch\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tshrinking\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: True)<\/i><br><br><i>This parameter allows the usage of shrinking heuristic in support vector machines.<\/i>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a3ce532 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"a3ce532\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-leaf\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tmax_iter\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: -1)<\/i><br><br>This parameter creates a hard limit on solver iterations.<br><br><u>-1<\/u>: No hard limit<br><br><u>int<\/u>: Limit will be integer value.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d00a7c5 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"d00a7c5\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-leaf\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\trandom_state\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: None) <\/i><br><br><i style=\"\">Provides options for random number generation (in data shuffling during probability estimations).<\/i><br><br><i style=\"\"><u>None<\/u>: numpy's random number generator will be used.<\/i><br><br><i style=\"\"><u>int<\/u>: Integer value will be used as seed.<\/i><br><br><i style=\"\"><u style=\"\">RandomState<\/u>: RandomState instance will be used as seed.<\/i>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-15e12fe\" data-id=\"15e12fe\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3c0cc91 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"3c0cc91\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fab fa-linode\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tclass_weight\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: None)<\/i><br><br><i><u>None<\/u>: All classes will have the same weight of one.<\/i><br><br><i>\"<u>balanced<\/u>\": <\/i><i>y values will be used to adjust weights automatically. (negatively correlated with class frequency in dataset.<\/i><br><br><i><u>dict<\/u>: Class weight will be assigned based on the dictionary values.<\/i>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d399c2 elementor-view-default elementor-position-top elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"3d399c2\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-arrow-alt-circle-down\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tdecision_function_shape\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\t<i>(default: \"ovr\")<\/i><br><br><i>This parameter is about the shape of decision function. <\/i><br><br><i>\"<u>ovr<\/u>\": Stands for \"one versus rest\". Shape will be: (n_samples, n_classes)<\/i><br><br><i>\"<u>ovo<\/u>\": Stands for \"one versus one\". Shape will be:  (n_samples, n_classes * (n_classes - 1) \/ 2). Only used for multi-class strategy and not for binary.<\/i>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-513c0b3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"513c0b3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9b35645\" data-id=\"9b35645\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-148a81b elementor-widget elementor-widget-text-editor\" data-id=\"148a81b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Official Scikit Learn Documentation: <a href=\"http:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.svm.SVC.html\" target=\"_blank\" rel=\"noopener\">sklearn.svm.SVC<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Support Vector Machine Optimization Support Vector Machine Optimization Parameters Explained Cfloat kernel degree gamma tol cache_size These are the most commonly adjusted parameters with\u00a0Support Vector Machines. Let&#8217;s take a deeper look at what they are used for and how to change their values: C: (default: 1.0) This is a very important parameter for Support Vector [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":11469,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-11580","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/pages\/11580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/comments?post=11580"}],"version-history":[{"count":0,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/pages\/11580\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/pages\/11469"}],"wp:attachment":[{"href":"https:\/\/holypython.com\/wp-json\/wp\/v2\/media?parent=11580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}