<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[]]></title><description><![CDATA[]]></description><link>https://blog.csdn.net/boringcpu</link><language>zh-cn</language><generator>https://blog.csdn.net/</generator><copyright><![CDATA[Copyright &copy; boringcpu]]></copyright><item><title><![CDATA[Timer]]></title><link>https://blog.csdn.net/boringcpu/article/details/148956345</link><guid>https://blog.csdn.net/boringcpu/article/details/148956345</guid><author>boringcpu</author><pubDate>Fri, 27 Jun 2025 16:43:28 +0800</pubDate><description><![CDATA[【代码】Timer。]]></description><category></category></item><item><title><![CDATA[各相关系数]]></title><link>https://blog.csdn.net/boringcpu/article/details/143873379</link><guid>https://blog.csdn.net/boringcpu/article/details/143873379</guid><author>boringcpu</author><pubDate>Tue, 19 Nov 2024 16:03:12 +0800</pubDate><description><![CDATA[公式参考：https://docs.scipy.org/doc/scipy-0.19.1/reference/generated/scipy.stats.kendalltau.html。用于度量线性关系，要求数据是连续且服从正态分布。【上学教的最普通的那种】基于排序的相关系数，不依赖于数据的具体分布，对异常值也不敏感。适用于有序数据，可以用来评估两个有序变量之间的单调关系。离群值可能显著影响 Pearson 系数的计算结果。]]></description><category></category></item><item><title><![CDATA[Byte of Python 笔记]]></title><link>https://blog.csdn.net/boringcpu/article/details/142919832</link><guid>https://blog.csdn.net/boringcpu/article/details/142919832</guid><author>boringcpu</author><pubDate>Mon, 14 Oct 2024 15:25:05 +0800</pubDate><description><![CDATA[【代码】Byte of Python 笔记]]></description><category></category></item><item><title><![CDATA[PYTHON基础笔记]]></title><link>https://blog.csdn.net/boringcpu/article/details/142134992</link><guid>https://blog.csdn.net/boringcpu/article/details/142134992</guid><author>boringcpu</author><pubDate>Wed, 11 Sep 2024 11:22:11 +0800</pubDate><description><![CDATA[【代码】PYTHON基础笔记。]]></description><category></category></item><item><title><![CDATA[Java新手上路第三天]]></title><link>https://blog.csdn.net/boringcpu/article/details/135146036</link><guid>https://blog.csdn.net/boringcpu/article/details/135146036</guid><author>boringcpu</author><pubDate>Fri, 22 Dec 2023 17:30:03 +0800</pubDate><description><![CDATA[Java 中的对象类型采用引用传递方式传递参数变量的值。属于类而不是实例，所有该类的实例共享同一个类变量的值。局部变量没有默认值，成员变量具有默认值。]]></description><category></category></item><item><title><![CDATA[Kaggle学习——特征权重]]></title><link>https://blog.csdn.net/boringcpu/article/details/135000299</link><guid>https://blog.csdn.net/boringcpu/article/details/135000299</guid><author>boringcpu</author><pubDate>Tue, 19 Dec 2023 17:27:31 +0800</pubDate><description><![CDATA[Permutation Importance/Partial Dependence Plots/2D Partial Dependence Plots]]></description><category></category></item><item><title><![CDATA[Java新手上路第二天]]></title><link>https://blog.csdn.net/boringcpu/article/details/134913100</link><guid>https://blog.csdn.net/boringcpu/article/details/134913100</guid><author>boringcpu</author><pubDate>Mon, 11 Dec 2023 01:06:49 +0800</pubDate><description><![CDATA[数据类型/Date类]]></description><category></category></item><item><title><![CDATA[Java新手上路第一天]]></title><link>https://blog.csdn.net/boringcpu/article/details/134875904</link><guid>https://blog.csdn.net/boringcpu/article/details/134875904</guid><author>boringcpu</author><pubDate>Sun, 10 Dec 2023 16:17:57 +0800</pubDate><description><![CDATA[枚举/注释/类/构造方法]]></description><category></category></item></channel></rss>