<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[chenlang]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/chenlang_lbs</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; chenlang_lbs]]></copyright><item><title><![CDATA[边角小结]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/80527254</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/80527254</guid><author>chenlang_lbs</author><pubDate>Thu, 31 May 2018 17:09:28 +0800</pubDate><description><![CDATA[
压缩文件 
zip -q -r test.zip ./test/ 
快速启动


sudo chmod a+x /usr/local/bin/test_xxx001  # 加入执行权限

#!/usr/bin/env bash 
/usr/bin/sshpass -p password ssh root@192.168.1.7

例如存到test_ml，下次直接在shell中执行test_ml就...]]></description><category></category></item><item><title><![CDATA[git笔记]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/79625945</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/79625945</guid><author>chenlang_lbs</author><pubDate>Wed, 21 Mar 2018 15:32:02 +0800</pubDate><description><![CDATA[一、pull request



1、创建分支

查询状态（检查当前文件状态，以后会经常用到）



git status

跟踪新文件



git add test.txt

通过文件补丁的格式显示具体哪些行发生了改变



git diff

提交更新（你也可以在 commit 命令后添加 -m 选项，将提交信息与命令放在同一行）



git commit
git commit -m &quot;...]]></description><category></category></item><item><title><![CDATA[test list or array memory size]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/79187770</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/79187770</guid><author>chenlang_lbs</author><pubDate>Sun, 28 Jan 2018 16:54:50 +0800</pubDate><description><![CDATA[test list or array memory size code



from pympler import asizeof
size = 10 ** 4

print('list  kb', asizeof.asizeof(list(range(size))) // 1024)
print('array kb', asizeof.asizeof(np.arange(size, dtype]]></description><category></category></item><item><title><![CDATA[minHash vs LSH]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/79064082</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/79064082</guid><author>chenlang_lbs</author><pubDate>Mon, 15 Jan 2018 14:21:30 +0800</pubDate><description><![CDATA[http://blog.youkuaiyun.com/liujan511536/article/details/47729721?readlog

https://my.oschina.net/u/347386/blog/749891 
（simHash、minHash、LSH、海量数据相似度、Redis百亿级Key存储、 Sentinel+ShardedJedis）

http://www.07net01.]]></description><category></category></item><item><title><![CDATA[朴素贝叶斯]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/78982813</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/78982813</guid><author>chenlang_lbs</author><pubDate>Fri, 05 Jan 2018 16:30:40 +0800</pubDate><description><![CDATA[#!/usr/bin/env python3
# -*- coding:utf-8 -*-
__author__ = 'lbs'

import numpy as np
from collections import Counter

'''
说明: 这里只是对于X是离散型变量做的,对于连续型变量需要计算其相应的概率,对于既有连续型变量又有离散型变量需要分开计算...
'''


class Na]]></description><category></category></item><item><title><![CDATA[python笔记之常用命令总结]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/54584332</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/54584332</guid><author>chenlang_lbs</author><pubDate>Tue, 17 Jan 2017 16:28:53 +0800</pubDate><description><![CDATA[1、nautilus：打开当前工作目录
2、wc files_names：查看文件的数量

3、Pycharm的常用命令ctrl +
 r：查找命令

4、ssh
 nb@192.168.2.55：获得进入nb@电脑的权限

5、复制很长的数据的技巧：在数据前面点击+ shift + 在数据后面点击 + （ctrl + c），完成复制]]></description><category></category></item><item><title><![CDATA[K_means的改进：二分K_means算法]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/54135613</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/54135613</guid><author>chenlang_lbs</author><pubDate>Fri, 06 Jan 2017 11:04:07 +0800</pubDate><description><![CDATA[传统K_means算法存在的缺陷
（1）算法的初始中心点选择与算法的运行效率密切相关，而随机选取中心点有可能导致迭代次数很大或者限于某个局部最优状态；通常 k 
（2）K均值的最大问题是要求用户必须事先给出 k 的值，k 的选择一般都基于一些经验值和多次试验结果，对于不同的数据集，k 的取值没有可借鉴性。
（3）对异常偏离的数据敏感——离群点；K均值对 “ 噪声 ” 和孤立点数据都是敏感的，]]></description><category></category></item><item><title><![CDATA[简述CART]]></title><link>https://blog.youkuaiyun.com/chenlang_lbs/article/details/54093176</link><guid>https://blog.youkuaiyun.com/chenlang_lbs/article/details/54093176</guid><author>chenlang_lbs</author><pubDate>Thu, 05 Jan 2017 14:51:39 +0800</pubDate><description><![CDATA[一、什么是CART

CART是决策树的一种]]></description><category></category></item></channel></rss>