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9 Commits
6b5d9f232e
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master
| Author | SHA1 | Date | |
|---|---|---|---|
| a699cd8439 | |||
| 0bb27b4b85 | |||
| 49572eb3a0 | |||
| 8b240e8654 | |||
| 7cfd111895 | |||
| 14a299f13f | |||
| bcf66aee48 | |||
| 92fa085399 | |||
| 30ad5027db |
@@ -79,9 +79,9 @@ category_per_img: /img/site01.jpg
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cover:
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# display the cover or not (是否顯示文章封面)
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index_enable: false
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aside_enable: false
|
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archives_enable: false
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index_enable: true
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aside_enable: true
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archives_enable: true
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# the position of cover in home page (封面顯示的位置)
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# left/right/both
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position: both
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@@ -208,7 +208,7 @@ footer:
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owner:
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enable: true
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since: 2024
|
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custom_text: <span>备案号：豫ICP备2023019300号</span>
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custom_text: <a href="https://beian.miit.gov.cn/#/Integrated/recordQuery"><img class="icp-icon" src="https://beian.mps.gov.cn/img/logo01.dd7ff50e.png"><span>备案号：豫ICP备2023019300号</span></a>
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# aside (側邊欄)
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# --------------------------------------
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@@ -153,15 +153,15 @@
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}
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}
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detectApple()
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})(window)</script><meta name="generator" content="Hexo 7.3.0"></head><body><div id="web_bg"></div><div id="sidebar"><div id="menu-mask"></div><div id="sidebar-menus"><div class="avatar-img is-center"><img src="/img/avatar.jpg" onerror="onerror=null;src='/img/friend_404.gif'" alt="avatar"/></div><div class="sidebar-site-data site-data is-center"><a href="/archives/"><div class="headline">文章</div><div class="length-num">17</div></a><a href="/tags/"><div class="headline">标签</div><div class="length-num">8</div></a><a href="/categories/"><div class="headline">分类</div><div class="length-num">2</div></a></div><hr class="custom-hr"/><div class="menus_items"><div class="menus_item"><a class="site-page" href="/"><i class="fa-fw fas fa-home"></i><span> Home</span></a></div><div class="menus_item"><a class="site-page" href="/archives/"><i class="fa-fw fas fa-archive"></i><span> Archives</span></a></div><div class="menus_item"><a class="site-page" href="/tags/"><i class="fa-fw fas fa-tags"></i><span> Tags</span></a></div><div class="menus_item"><a class="site-page" href="/categories/"><i class="fa-fw fas fa-folder-open"></i><span> Categories</span></a></div><div class="menus_item"><a class="site-page group" href="javascript:void(0);"><i class="fa-fw fas fa-list"></i><span> List</span><i class="fas fa-chevron-down"></i></a><ul class="menus_item_child"><li><a class="site-page child" href="/music/"><i class="fa-fw fas fa-music"></i><span> Music</span></a></li><li><a class="site-page child" href="/movies/"><i class="fa-fw fas fa-video"></i><span> Movie</span></a></li></ul></div><div class="menus_item"><a class="site-page" href="/link/"><i class="fa-fw fas fa-link"></i><span> Link</span></a></div><div class="menus_item"><a class="site-page" href="/about/"><i class="fa-fw fas fa-heart"></i><span> About</span></a></div></div></div></div><div class="page" id="body-wrap"><header class="not-home-page fixed" id="page-header" style="background-image: url('/img/site01.jpg')"><nav id="nav"><span id="blog-info"><a href="/" title="QuickReference"><span class="site-name">QuickReference</span></a></span><div id="menus"><div id="search-button"><a class="site-page social-icon search" href="javascript:void(0);"><i class="fas fa-search fa-fw"></i><span> 搜索</span></a></div><div class="menus_items"><div class="menus_item"><a class="site-page" href="/"><i class="fa-fw fas fa-home"></i><span> Home</span></a></div><div class="menus_item"><a class="site-page" href="/archives/"><i class="fa-fw fas fa-archive"></i><span> Archives</span></a></div><div class="menus_item"><a class="site-page" href="/tags/"><i class="fa-fw fas fa-tags"></i><span> Tags</span></a></div><div class="menus_item"><a class="site-page" href="/categories/"><i class="fa-fw fas fa-folder-open"></i><span> Categories</span></a></div><div class="menus_item"><a class="site-page group" href="javascript:void(0);"><i class="fa-fw fas fa-list"></i><span> List</span><i class="fas fa-chevron-down"></i></a><ul class="menus_item_child"><li><a class="site-page child" href="/music/"><i class="fa-fw fas fa-music"></i><span> Music</span></a></li><li><a class="site-page child" href="/movies/"><i class="fa-fw fas fa-video"></i><span> Movie</span></a></li></ul></div><div class="menus_item"><a class="site-page" href="/link/"><i class="fa-fw fas fa-link"></i><span> Link</span></a></div><div class="menus_item"><a class="site-page" href="/about/"><i class="fa-fw fas fa-heart"></i><span> About</span></a></div></div><div id="toggle-menu"><a class="site-page" href="javascript:void(0);"><i class="fas fa-bars fa-fw"></i></a></div></div></nav><div id="page-site-info"><h1 id="site-title">About me</h1></div></header><main class="layout" id="content-inner"><div id="page"><div id="article-container"><p>落花飞舞，翩若惊鸿。</p>
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})(window)</script><meta name="generator" content="Hexo 7.3.0"></head><body><div id="web_bg"></div><div id="sidebar"><div id="menu-mask"></div><div id="sidebar-menus"><div class="avatar-img is-center"><img src="/img/avatar.jpg" onerror="onerror=null;src='/img/friend_404.gif'" alt="avatar"/></div><div class="sidebar-site-data site-data is-center"><a href="/archives/"><div class="headline">文章</div><div class="length-num">18</div></a><a href="/tags/"><div class="headline">标签</div><div class="length-num">9</div></a><a href="/categories/"><div class="headline">分类</div><div class="length-num">2</div></a></div><hr class="custom-hr"/><div class="menus_items"><div class="menus_item"><a class="site-page" href="/"><i class="fa-fw fas fa-home"></i><span> Home</span></a></div><div class="menus_item"><a class="site-page" href="/archives/"><i class="fa-fw fas fa-archive"></i><span> Archives</span></a></div><div class="menus_item"><a class="site-page" href="/tags/"><i class="fa-fw fas fa-tags"></i><span> Tags</span></a></div><div class="menus_item"><a class="site-page" href="/categories/"><i class="fa-fw fas fa-folder-open"></i><span> Categories</span></a></div><div class="menus_item"><a class="site-page group" href="javascript:void(0);"><i class="fa-fw fas fa-list"></i><span> List</span><i class="fas fa-chevron-down"></i></a><ul class="menus_item_child"><li><a class="site-page child" href="/music/"><i class="fa-fw fas fa-music"></i><span> Music</span></a></li><li><a class="site-page child" href="/movies/"><i class="fa-fw fas fa-video"></i><span> Movie</span></a></li></ul></div><div class="menus_item"><a class="site-page" href="/link/"><i class="fa-fw fas fa-link"></i><span> Link</span></a></div><div class="menus_item"><a class="site-page" href="/about/"><i class="fa-fw fas fa-heart"></i><span> About</span></a></div></div></div></div><div class="page" id="body-wrap"><header class="not-home-page fixed" id="page-header" style="background-image: url('/img/site01.jpg')"><nav id="nav"><span id="blog-info"><a href="/" title="QuickReference"><span class="site-name">QuickReference</span></a></span><div id="menus"><div id="search-button"><a class="site-page social-icon search" href="javascript:void(0);"><i class="fas fa-search fa-fw"></i><span> 搜索</span></a></div><div class="menus_items"><div class="menus_item"><a class="site-page" href="/"><i class="fa-fw fas fa-home"></i><span> Home</span></a></div><div class="menus_item"><a class="site-page" href="/archives/"><i class="fa-fw fas fa-archive"></i><span> Archives</span></a></div><div class="menus_item"><a class="site-page" href="/tags/"><i class="fa-fw fas fa-tags"></i><span> Tags</span></a></div><div class="menus_item"><a class="site-page" href="/categories/"><i class="fa-fw fas fa-folder-open"></i><span> Categories</span></a></div><div class="menus_item"><a class="site-page group" href="javascript:void(0);"><i class="fa-fw fas fa-list"></i><span> List</span><i class="fas fa-chevron-down"></i></a><ul class="menus_item_child"><li><a class="site-page child" href="/music/"><i class="fa-fw fas fa-music"></i><span> Music</span></a></li><li><a class="site-page child" href="/movies/"><i class="fa-fw fas fa-video"></i><span> Movie</span></a></li></ul></div><div class="menus_item"><a class="site-page" href="/link/"><i class="fa-fw fas fa-link"></i><span> Link</span></a></div><div class="menus_item"><a class="site-page" href="/about/"><i class="fa-fw fas fa-heart"></i><span> About</span></a></div></div><div id="toggle-menu"><a class="site-page" href="javascript:void(0);"><i class="fas fa-bars fa-fw"></i></a></div></div></nav><div id="page-site-info"><h1 id="site-title">About me</h1></div></header><main class="layout" id="content-inner"><div id="page"><div id="article-container"><p>落花飞舞，翩若惊鸿。</p>
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</div></div><div class="aside-content" id="aside-content"><div class="card-widget card-info"><div class="is-center"><div class="avatar-img"><img src="/img/avatar.jpg" onerror="this.onerror=null;this.src='/img/friend_404.gif'" alt="avatar"/></div><div class="author-info__name">shenjianZ</div><div class="author-info__description">一份快捷简便的文档，便于查阅编程的细节</div></div><div class="card-info-data site-data is-center"><a href="/archives/"><div class="headline">文章</div><div class="length-num">18</div></a><a href="/tags/"><div class="headline">标签</div><div class="length-num">9</div></a><a href="/categories/"><div class="headline">分类</div><div class="length-num">2</div></a></div><a id="card-info-btn" target="_blank" rel="noopener" href="https://github.com/shenjianz"><i class="fab fa-github"></i><span>Follow Me</span></a><div class="card-info-social-icons is-center"><a class="social-icon" href="https://github.com/shenjianZ" target="_blank" title="Github"><i class="fab fa-github" style="color: #24292e;"></i></a><a class="social-icon" href="mailto:15202078626@163.com" target="_blank" title="Email"><i class="fas fa-envelope" style="color: #4a7dbe;"></i></a></div></div><div class="card-widget card-announcement"><div class="item-headline"><i class="fas fa-bullhorn fa-shake"></i><span>公告</span></div><div class="announcement_content">一个简单快捷的文档知识点查阅网站</div></div><div class="sticky_layout"><div class="card-widget card-recent-post"><div class="item-headline"><i class="fas fa-history"></i><span>最新文章</span></div><div class="aside-list"><div class="aside-list-item"><a class="thumbnail" href="/posts/8816.html" title="集成学习"><img src="/img/machinelearning/ensemble-learning.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="集成学习"/></a><div class="content"><a class="title" href="/posts/8816.html" title="集成学习">集成学习</a><time datetime="2025-01-25T07:12:08.000Z" title="发表于 2025-01-25 15:12:08">2025-01-25</time></div></div><div class="aside-list-item"><a class="thumbnail" href="/posts/95.html" title="决策树算法"><img src="/img/machinelearning/decision-tree.png" onerror="this.onerror=null;this.src='/img/404.jpg'" alt="决策树算法"/></a><div class="content"><a class="title" href="/posts/95.html" title="决策树算法">决策树算法</a><time datetime="2025-01-24T04:39:59.000Z" title="发表于 2025-01-24 12:39:59">2025-01-24</time></div></div><div class="aside-list-item no-cover"><div class="content"><a class="title" href="/posts/60504.html" title="逻辑回归">逻辑回归</a><time datetime="2025-01-20T07:30:08.000Z" title="发表于 2025-01-20 15:30:08">2025-01-20</time></div></div><div class="aside-list-item no-cover"><div class="content"><a class="title" href="/posts/52662.html" title="线性回归">线性回归</a><time datetime="2025-01-19T08:46:51.000Z" title="发表于 2025-01-19 16:46:51">2025-01-19</time></div></div><div class="aside-list-item no-cover"><div class="content"><a class="title" href="/posts/12462.html" title="C lang">C lang</a><time datetime="2025-01-15T12:41:26.000Z" title="发表于 2025-01-15 20:41:26">2025-01-15</time></div></div></div></div><div class="card-widget card-categories"><div class="item-headline">
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<i class="fas fa-folder-open"></i>
|
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<span>分类</span>
|
||||
|
||||
</div>
|
||||
<ul class="card-category-list" id="aside-cat-list">
|
||||
<li class="card-category-list-item "><a class="card-category-list-link" href="/categories/machinelearning/"><span class="card-category-list-name">machinelearning</span><span class="card-category-list-count">4</span></a></li><li class="card-category-list-item "><a class="card-category-list-link" href="/categories/%E5%8F%A4%E6%96%87%E8%A7%82%E6%AD%A2/"><span class="card-category-list-name">古文观止</span><span class="card-category-list-count">1</span></a></li>
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||||
</ul></div><div class="card-widget card-tags"><div class="item-headline"><i class="fas fa-tags"></i><span>标签</span></div><div class="card-tag-cloud"><a href="/tags/decisiontree/" style="font-size: 1.1em; color: #999">decisiontree</a> <a href="/tags/%E5%8F%A4%E6%96%87%E8%A7%82%E6%AD%A2/" style="font-size: 1.1em; color: #999">古文观止</a> <a href="/tags/KNN/" style="font-size: 1.1em; color: #999">KNN</a> <a href="/tags/logistic-regression/" style="font-size: 1.1em; color: #999">logistic-regression</a> <a href="/tags/C-C/" style="font-size: 1.1em; color: #999">C C++</a> <a href="/tags/%E7%BD%91%E7%BB%9C%E4%BB%A3%E7%90%86/" style="font-size: 1.1em; color: #999">网络代理</a> <a href="/tags/linear-regression/" style="font-size: 1.1em; color: #999">linear-regression</a> <a href="/tags/uniapp/" style="font-size: 1.5em; color: #99a9bf">uniapp</a></div></div><div class="card-widget card-archives"><div class="item-headline"><i class="fas fa-archive"></i><span>归档</span></div><ul class="card-archive-list"><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2025/01/"><span class="card-archive-list-date">一月 2025</span><span class="card-archive-list-count">5</span></a></li><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2024/09/"><span class="card-archive-list-date">九月 2024</span><span class="card-archive-list-count">4</span></a></li><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2024/08/"><span class="card-archive-list-date">八月 2024</span><span class="card-archive-list-count">8</span></a></li></ul></div><div class="card-widget card-webinfo"><div class="item-headline"><i class="fas fa-chart-line"></i><span>网站资讯</span></div><div class="webinfo"><div class="webinfo-item"><div class="item-name">文章数目 :</div><div class="item-count">17</div></div><div class="webinfo-item"><div class="item-name">已运行时间 :</div><div class="item-count" id="runtimeshow" data-publishDate="2024-07-30T16:00:00.000Z"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">本站访客数 :</div><div class="item-count" id="busuanzi_value_site_uv"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">本站总访问量 :</div><div class="item-count" id="busuanzi_value_site_pv"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">最后更新时间 :</div><div class="item-count" id="last-push-date" data-lastPushDate="2025-01-24T10:17:07.459Z"><i class="fa-solid fa-spinner fa-spin"></i></div></div></div></div></div></div></main><footer id="footer" style="background: transparent"><div id="footer-wrap"><div class="copyright">©2024 - 2025 By shenjianZ</div><div class="framework-info"><span>框架 </span><a target="_blank" rel="noopener" href="https://hexo.io">Hexo</a><span class="footer-separator">|</span><span>主题 </span><a target="_blank" rel="noopener" href="https://github.com/jerryc127/hexo-theme-butterfly">Butterfly</a></div><div class="footer_custom_text"><span>备案号：豫ICP备2023019300号</span></div></div></footer></div><div id="rightside"><div id="rightside-config-hide"><button id="darkmode" type="button" title="浅色和深色模式转换"><i class="fas fa-adjust"></i></button><button id="hide-aside-btn" type="button" title="单栏和双栏切换"><i class="fas fa-arrows-alt-h"></i></button></div><div id="rightside-config-show"><button id="rightside-config" type="button" title="设置"><i class="fas fa-cog fa-spin"></i></button><button id="go-up" type="button" title="回到顶部"><span class="scroll-percent"></span><i class="fas fa-arrow-up"></i></button></div></div><div><script src="/js/utils.js?v=4.13.0"></script><script src="/js/main.js?v=4.13.0"></script><script src="https://cdn.jsdelivr.net/npm/@fancyapps/ui@5.0.33/dist/fancybox/fancybox.umd.min.js"></script><div class="js-pjax"></div><script src="https://cdn.jsdelivr.net/npm/butterfly-extsrc@1.1.3/dist/activate-power-mode.min.js"></script><script>POWERMODE.colorful = true;
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</ul></div><div class="card-widget card-tags"><div class="item-headline"><i class="fas fa-tags"></i><span>标签</span></div><div class="card-tag-cloud"><a href="/tags/decisiontree/" style="font-size: 1.1em; color: #999">decisiontree</a> <a href="/tags/%E5%8F%A4%E6%96%87%E8%A7%82%E6%AD%A2/" style="font-size: 1.1em; color: #999">古文观止</a> <a href="/tags/KNN/" style="font-size: 1.1em; color: #999">KNN</a> <a href="/tags/logistic-regression/" style="font-size: 1.1em; color: #999">logistic-regression</a> <a href="/tags/C-C/" style="font-size: 1.1em; color: #999">C C++</a> <a href="/tags/%E7%BD%91%E7%BB%9C%E4%BB%A3%E7%90%86/" style="font-size: 1.1em; color: #999">网络代理</a> <a href="/tags/linear-regression/" style="font-size: 1.1em; color: #999">linear-regression</a> <a href="/tags/uniapp/" style="font-size: 1.5em; color: #99a9bf">uniapp</a></div></div><div class="card-widget card-archives"><div class="item-headline"><i class="fas fa-archive"></i><span>归档</span></div><ul class="card-archive-list"><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2025/01/"><span class="card-archive-list-date">一月 2025</span><span class="card-archive-list-count">5</span></a></li><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2024/09/"><span class="card-archive-list-date">九月 2024</span><span class="card-archive-list-count">4</span></a></li><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2024/08/"><span class="card-archive-list-date">八月 2024</span><span class="card-archive-list-count">8</span></a></li></ul></div><div class="card-widget card-webinfo"><div class="item-headline"><i class="fas fa-chart-line"></i><span>网站资讯</span></div><div class="webinfo"><div class="webinfo-item"><div class="item-name">文章数目 :</div><div class="item-count">17</div></div><div class="webinfo-item"><div class="item-name">已运行时间 :</div><div class="item-count" id="runtimeshow" data-publishDate="2024-07-30T16:00:00.000Z"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">本站访客数 :</div><div class="item-count" id="busuanzi_value_site_uv"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">本站总访问量 :</div><div class="item-count" id="busuanzi_value_site_pv"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">最后更新时间 :</div><div class="item-count" id="last-push-date" data-lastPushDate="2025-01-24T10:17:07.459Z"><i class="fa-solid fa-spinner fa-spin"></i></div></div></div></div></div></div></main><footer id="footer" style="background: transparent"><div id="footer-wrap"><div class="copyright">©2024 - 2025 By shenjianZ</div><div class="framework-info"><span>框架 </span><a target="_blank" rel="noopener" href="https://hexo.io">Hexo</a><span class="footer-separator">|</span><span>主题 </span><a target="_blank" rel="noopener" href="https://github.com/jerryc127/hexo-theme-butterfly">Butterfly</a></div><div class="footer_custom_text"><span>备案号：豫ICP备2023019300号</span></div></div></footer></div><div id="rightside"><div id="rightside-config-hide"><button id="darkmode" type="button" title="浅色和深色模式转换"><i class="fas fa-adjust"></i></button><button id="hide-aside-btn" type="button" title="单栏和双栏切换"><i class="fas fa-arrows-alt-h"></i></button></div><div id="rightside-config-show"><button id="rightside-config" type="button" title="设置"><i class="fas fa-cog fa-spin"></i></button><button id="go-up" type="button" title="回到顶部"><span class="scroll-percent"></span><i class="fas fa-arrow-up"></i></button></div></div><div><script src="/js/utils.js?v=4.13.0"></script><script src="/js/main.js?v=4.13.0"></script><script src="https://cdn.jsdelivr.net/npm/@fancyapps/ui@5.0.33/dist/fancybox/fancybox.umd.min.js"></script><div class="js-pjax"></div><script src="https://cdn.jsdelivr.net/npm/butterfly-extsrc@1.1.3/dist/activate-power-mode.min.js"></script><script>POWERMODE.colorful = true;
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<li class="card-category-list-item "><a class="card-category-list-link" href="/categories/machinelearning/"><span class="card-category-list-name">machinelearning</span><span class="card-category-list-count">5</span></a></li><li class="card-category-list-item "><a class="card-category-list-link" href="/categories/%E5%8F%A4%E6%96%87%E8%A7%82%E6%AD%A2/"><span class="card-category-list-name">古文观止</span><span class="card-category-list-count">1</span></a></li>
|
||||
</ul></div><div class="card-widget card-tags"><div class="item-headline"><i class="fas fa-tags"></i><span>标签</span></div><div class="card-tag-cloud"><a href="/tags/linear-regression/" style="font-size: 1.1em; color: #999">linear-regression</a> <a href="/tags/KNN/" style="font-size: 1.1em; color: #999">KNN</a> <a href="/tags/logistic-regression/" style="font-size: 1.1em; color: #999">logistic-regression</a> <a href="/tags/%E5%8F%A4%E6%96%87%E8%A7%82%E6%AD%A2/" style="font-size: 1.1em; color: #999">古文观止</a> <a href="/tags/decisiontree/" style="font-size: 1.1em; color: #999">decisiontree</a> <a href="/tags/uniapp/" style="font-size: 1.5em; color: #99a9bf">uniapp</a> <a href="/tags/%E7%BD%91%E7%BB%9C%E4%BB%A3%E7%90%86/" style="font-size: 1.1em; color: #999">网络代理</a> <a href="/tags/C-C/" style="font-size: 1.1em; color: #999">C C++</a> <a href="/tags/ensemble-learning/" style="font-size: 1.1em; color: #999">ensemble-learning</a></div></div><div class="card-widget card-archives"><div class="item-headline"><i class="fas fa-archive"></i><span>归档</span></div><ul class="card-archive-list"><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2025/01/"><span class="card-archive-list-date">一月 2025</span><span class="card-archive-list-count">6</span></a></li><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2024/09/"><span class="card-archive-list-date">九月 2024</span><span class="card-archive-list-count">4</span></a></li><li class="card-archive-list-item"><a class="card-archive-list-link" href="/archives/2024/08/"><span class="card-archive-list-date">八月 2024</span><span class="card-archive-list-count">8</span></a></li></ul></div><div class="card-widget card-webinfo"><div class="item-headline"><i class="fas fa-chart-line"></i><span>网站资讯</span></div><div class="webinfo"><div class="webinfo-item"><div class="item-name">文章数目 :</div><div class="item-count">18</div></div><div class="webinfo-item"><div class="item-name">已运行时间 :</div><div class="item-count" id="runtimeshow" data-publishDate="2024-07-30T16:00:00.000Z"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">本站访客数 :</div><div class="item-count" id="busuanzi_value_site_uv"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">本站总访问量 :</div><div class="item-count" id="busuanzi_value_site_pv"><i class="fa-solid fa-spinner fa-spin"></i></div></div><div class="webinfo-item"><div class="item-name">最后更新时间 :</div><div class="item-count" id="last-push-date" data-lastPushDate="2025-10-16T03:29:44.082Z"><i class="fa-solid fa-spinner fa-spin"></i></div></div></div></div></div></div></main><footer id="footer" style="background: transparent"><div id="footer-wrap"><div class="copyright">©2024 - 2025 By shenjianZ</div><div class="framework-info"><span>框架 </span><a target="_blank" rel="noopener" href="https://hexo.io">Hexo</a><span class="footer-separator">|</span><span>主题 </span><a target="_blank" rel="noopener" href="https://github.com/jerryc127/hexo-theme-butterfly">Butterfly</a></div><div class="footer_custom_text"><a target="_blank" rel="noopener" href="https://beian.miit.gov.cn/#/Integrated/recordQuery"><img class="icp-icon" src="https://beian.mps.gov.cn/img/logo01.dd7ff50e.png"><span>备案号：豫ICP备2023019300号</span></a></div></div></footer></div><div id="rightside"><div id="rightside-config-hide"><button id="darkmode" type="button" title="浅色和深色模式转换"><i class="fas fa-adjust"></i></button><button id="hide-aside-btn" type="button" title="单栏和双栏切换"><i class="fas fa-arrows-alt-h"></i></button></div><div id="rightside-config-show"><button id="rightside-config" type="button" title="设置"><i class="fas fa-cog fa-spin"></i></button><button id="go-up" type="button" title="回到顶部"><span class="scroll-percent"></span><i class="fas fa-arrow-up"></i></button></div></div><div><script src="/js/utils.js?v=4.13.0"></script><script src="/js/main.js?v=4.13.0"></script><script src="https://cdn.jsdelivr.net/npm/@fancyapps/ui@5.0.33/dist/fancybox/fancybox.umd.min.js"></script><div class="js-pjax"></div><script src="https://cdn.jsdelivr.net/npm/butterfly-extsrc@1.1.3/dist/activate-power-mode.min.js"></script><script>POWERMODE.colorful = true;
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POWERMODE.shake = true;
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||||
POWERMODE.mobile = false;
|
||||
document.body.addEventListener('input', POWERMODE);
|
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|
||||
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@@ -4,6 +4,8 @@ tags: decisiontree
|
||||
categories: machinelearning
|
||||
abbrlink: 95
|
||||
date: 2025-01-24 12:39:59
|
||||
cover: /img/machinelearning/decision-tree.png
|
||||
top_img: /img/site01.jpg
|
||||
---
|
||||
|
||||
### C4.5
|
||||
@@ -106,7 +108,6 @@ print(f"转换后的数据:\n{new_data}")
|
||||
|
||||
|
||||
### 回归决策树
|
||||
<<<<<<< HEAD
|
||||
#### 决策树算法的应用 （泰坦尼克号沉船幸存者预测）
|
||||
```python
|
||||
import seaborn as sns
|
||||
@@ -169,10 +170,9 @@ graph.view(output_path) # 打开图像，path为保存路径，不需要加后
|
||||
```
|
||||
|
||||
[Webgraphviz](http://webgraphviz.com/)，这个网站可以将`tree.dot`文件的内容生成对应的可视化树
|
||||
=======
|
||||
[Webgraphviz](http://webgraphviz.com/)
|
||||
>>>>>>> efff4fc1310b4d2f201748d9b976f5efbb4a42bf
|
||||
|
||||
|
||||
#### 回归决策树与线性回归的对比
|
||||
```python
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
129
source/_posts/machinelearning/ensemblelearning.md
Normal file
129
source/_posts/machinelearning/ensemblelearning.md
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@@ -0,0 +1,129 @@
|
||||
---
|
||||
title: 集成学习
|
||||
tags: ensemble-learning
|
||||
categories: machinelearning
|
||||
abbrlink: 8816
|
||||
date: 2025-01-25 15:12:08
|
||||
cover: /img/machinelearning/ensemble-learning.png
|
||||
top_img: /img/site01.jpg
|
||||
---
|
||||
|
||||
### Bagging
|
||||
|
||||
### 随机森林
|
||||
> `Random-Forest` 就是`Bagging + Decisiontree`
|
||||
```python
|
||||
import seaborn as sns
|
||||
import pandas as pd
|
||||
import numpy as np
|
||||
from sklearn.model_selection import train_test_split,GridSearchCV
|
||||
from sklearn.feature_extraction import DictVectorizer
|
||||
from sklearn.ensemble import RandomForestClassifier
|
||||
# 1.获取数据集 - 加载 Titanic 数据集
|
||||
titanic = sns.load_dataset('titanic')
|
||||
missing_age_count = titanic['age'].isna().sum()
|
||||
# print(f"缺失的 age 数量: {missing_age_count}")
|
||||
# 2. 数据基本处理
|
||||
# 2.1 确认特征值、目标值
|
||||
X = titanic[['pclass','age','sex']]
|
||||
y = titanic['survived']
|
||||
# 2.2 缺失值处理
|
||||
X.loc[:, 'age'] = X['age'].fillna(value=X['age'].mean()) # 使用 .loc 进行修改
|
||||
# 2.3 划分数据集
|
||||
X_train,X_test,y_train,y_test = train_test_split(X,y,random_state=22)
|
||||
# 3. 特征工程（字典特征提取）
|
||||
X_train = X_train.to_dict(orient="records")
|
||||
X_test= X_test.to_dict(orient="records")
|
||||
transfer = DictVectorizer()
|
||||
X_train = transfer.fit_transform(X_train)
|
||||
X_test = transfer.transform(X_test)
|
||||
# 4. 机器学习 随机森林
|
||||
rf = RandomForestClassifier()
|
||||
gc = GridSearchCV(estimator=rf ,param_grid={"n_estimators":[100,120,300],"max_depth":[3,7,11]},cv=3)
|
||||
gc.fit(X_train,y_train)
|
||||
y_pred = gc.predict(X_test)
|
||||
print(f"模型的测试集的预测值：{y_pred}")
|
||||
ret = gc.score(X_test,y_test)
|
||||
print(f"最佳模型在测试集上的评分:{ret}")
|
||||
print(f"最佳模型的参数：{gc.best_estimator_}")
|
||||
print(f"最佳模型在训练集上的评分：{gc.best_score_}")
|
||||
print(X_test.toarray())
|
||||
```
|
||||
|
||||
|
||||
### ott案例
|
||||
```python
|
||||
import pandas as pd
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
from imblearn.under_sampling import RandomUnderSampler
|
||||
from sklearn.model_selection import train_test_split
|
||||
from sklearn.preprocessing import LabelEncoder
|
||||
from sklearn.ensemble import RandomForestClassifier
|
||||
from sklearn.metrics import log_loss
|
||||
from sklearn.preprocessing import OneHotEncoder
|
||||
# 1. 获取数据集
|
||||
data = pd.read_csv('./data/train.csv')
|
||||
# 查看目标值分类
|
||||
import seaborn as sns
|
||||
sns.countplot(data=data, x='target', hue='target', palette="Set2", legend=False) # 使用 hue='target' 替代 palette
|
||||
plt.show()
|
||||
|
||||
# 2. 数据集的基本处理
|
||||
# 2.1 确定特征值、目标值
|
||||
x = data.drop(["id", "target"], axis=1)
|
||||
y = data['target']
|
||||
|
||||
# 2.2 使用随机欠采样进行平衡
|
||||
undersampler = RandomUnderSampler(sampling_strategy='auto', random_state=0)
|
||||
x_resampled, y_resampled = undersampler.fit_resample(x, y)
|
||||
|
||||
# 查看欠采样后的类别分布
|
||||
# print(f"欠采样后训练集中的类别分布：\n{y_train_resampled.value_counts()}")
|
||||
|
||||
# 2.3. 将标签转换为数字
|
||||
le = LabelEncoder()
|
||||
y_resampled = le.fit_transform(y_resampled)
|
||||
|
||||
# 2.4. 划分训练集和测试集
|
||||
x_train, x_test, y_train, y_test = train_test_split(x_resampled, y_resampled, test_size=0.2)
|
||||
|
||||
# 3. 机器学习
|
||||
rf = RandomForestClassifier(oob_score = True)
|
||||
rf.fit(x_train,y_train)
|
||||
y_pred = rf.predict(x_test)
|
||||
print(f"预测值:{y_pred}")
|
||||
print(f"评分：{rf.score(x_test,y_test)}")
|
||||
|
||||
# # 4. 模型评估 （解决二分类预测问题）
|
||||
# import numpy as np
|
||||
# from sklearn.metrics import log_loss
|
||||
# # 假设 y_pred_prob 是通过 predict_proba 得到的预测概率
|
||||
# # 对预测概率进行裁剪，将其限制在 [eps, 1-eps] 范围内
|
||||
# eps = 1e-15 # 设置一个小的eps值，避免极端值
|
||||
# y_pred_prob = rf.predict_proba(x_test)
|
||||
# y_pred_prob = np.clip(y_pred_prob, eps, 1 - eps)
|
||||
|
||||
# # 计算 log_loss
|
||||
# loss = log_loss(y_test, y_pred_prob, normalize=True)
|
||||
# print(f"Log Loss: {loss}")
|
||||
|
||||
# 4. 模型评估 （解决多分类预测问题）
|
||||
|
||||
# 获取预测的概率
|
||||
y_pred_prob = rf.predict_proba(x_test)
|
||||
|
||||
# 使用 OneHotEncoder 对 y_test 进行 One-Hot 编码
|
||||
encoder = OneHotEncoder(sparse_output=False) # 确保返回的是密集矩阵
|
||||
y_test_one_hot = encoder.fit_transform(y_test.reshape(-1, 1))
|
||||
|
||||
# 对预测概率进行裁剪，将其限制在 [eps, 1-eps] 范围内
|
||||
eps = 1e-15
|
||||
y_pred_prob = np.clip(y_pred_prob, eps, 1 - eps)
|
||||
|
||||
# 计算 log_loss
|
||||
loss = log_loss(y_test_one_hot, y_pred_prob, normalize=True)
|
||||
print(f"Log Loss: {loss}")
|
||||
|
||||
```
|
||||
|
||||
@@ -17,10 +17,10 @@ $$y = w_1x_1 + w_2x_2 + \cdot\cdot\cdot+w_nx_n$$
|
||||
### 损失函数
|
||||
|
||||
为了找到最佳的线性模型，我们需要通过最小化损失函数来优化模型参数。在线性回归中，常用的损失函数是 **均方误差（MSE）**：
|
||||
$$MSE = \frac{1}{m} \sum_{i=1}^{m} (y_i - \hat{y}_i)^2$$
|
||||
- m 是样本的数量。
|
||||
$$J(\theta) = \frac{1}{2N} \sum_{i=1}^{N} (y_i - f_\theta(x_i))^2$$
|
||||
- N 是样本的数量。
|
||||
- $y_i$ 是第 i 个样本的真实值。
|
||||
- $\hat{y}_i$ 是模型预测的第 i 个样本的值。
|
||||
- $f_\theta(x_i)$ 是模型预测的第 i 个样本的值。
|
||||
|
||||
### 线性回归优化
|
||||
|
||||
|
||||
@@ -43,7 +43,13 @@ date: 2024-08-07 10:06:08
|
||||
- `赔钱机场`
|
||||
|
||||
|
||||
`赔钱机场`的订阅共有9种方案，这里我仅显示自己正在使用的，个人认为十分优惠：
|
||||
可以看到
|
||||
- `18元/年`,每月100GB的可用额度，允许最多10个设备同时在线，下个月重置流量额度
|
||||
- `34.99元/年`，每月有500GB的可用额度，允许最多15个设备同时在线，下个月重置流量额度
|
||||
- `68.99元/年`，每个月1000GB的可用额度，允许最多20个设备同时在线，下个月重置流量额度
|
||||
- 其余可以自行查看
|
||||
|
||||
`赔钱机场`的订阅共有5种方案(按周期付费)，这里我仅显示自己正在使用的，个人认为十分优惠：
|
||||
- `34.99元/年`,每月500GB的可用额度，根据我观察和使用，这个订阅方案比`一元机场`的性价比更高，且流量使用额度也不用担心
|
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|
||||
### 如何订阅？
|
||||
|
||||
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Reference in New Issue
Block a user