<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Porhowlyuu的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Porhowlyuu</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Porhowlyuu]]></copyright><item><title><![CDATA[电脑用户名中文改英文步骤总结]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/127384201</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/127384201</guid><author>Porhowlyuu</author><pubDate>Tue, 18 Oct 2022 11:22:33 +0800</pubDate><description><![CDATA[分三步，修改中文用户名为英文]]></description><category></category></item><item><title><![CDATA[minitest -v命令一系列报错]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/118733955</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/118733955</guid><author>Porhowlyuu</author><pubDate>Wed, 14 Jul 2021 18:08:49 +0800</pubDate><description><![CDATA[下载Minium框架压缩包https://git.weixin.qq.com/minitest/minium-doc/blob/master/minium/Python/dist/minium-1.0.6.zip
方式一：pip install minium-latest.zip（我的这个方式失败了，用方式二）
方式二：python setup.py install
完成后输入minitest -v命令查看版本，无报错则成功，有问题就处理
我输入minitest -v出现的报错：
安装numpy，→  p.]]></description><category></category></item><item><title><![CDATA[python创建二叉树]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/115282831</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/115282831</guid><author>Porhowlyuu</author><pubDate>Sun, 28 Mar 2021 16:27:02 +0800</pubDate><description><![CDATA[二叉树的创建（python）

class TreeNode(object):
    def __init__(self,data,left,right):
        self.data = data
        self.left = left
        self.right = right
   
A = TreeNode('A','B','C')
B = TreeNode('B',None,'D')
C = TreeNode('C','E','F')
E = TreeNode('E']]></description><category></category></item><item><title><![CDATA[Python使用xlrd读取xlsx文件报错：xlrd.biffh.XLRDError：Excel xlsx file；not supported]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/115281199</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/115281199</guid><author>Porhowlyuu</author><pubDate>Sun, 28 Mar 2021 15:07:12 +0800</pubDate><description><![CDATA[Python使用xlrd读取xlsx文件报错：xlrd.biffh.XLRDError：Excel xlsx file;not supported

打开xlsx文件时报如上错误，原因是xlrd的版本太新，只能打开xls文件而不支持xlsx文件，解决方法是卸掉新版本，安装旧版本，即可解决。
pip uninstall xlrd
pip install xlrd==1.2.0

...]]></description><category></category></item><item><title><![CDATA[Python多线程 Pool().apply_async]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/111191345</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/111191345</guid><author>Porhowlyuu</author><pubDate>Tue, 15 Dec 2020 09:45:40 +0800</pubDate><description><![CDATA[使用multiprocessing库，通过multiprocessing.Pool设置线程数，即 (processes=3)或者设置你自己的数量，如果池还没有满，就会创建一个新的进程来执行请求。如果池满，请求就会告知先等待，直到池中有进程结束，才会创建新的进程来执行这些请求。
import multiprocessing
def functest(x):
	函数体
if __name__ == "__main__":
    pool = multiprocessing.Pool(processes=3)
]]></description><category></category></item><item><title><![CDATA[pycharm上传github登陆不上？使用token登录]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/110873977</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/110873977</guid><author>Porhowlyuu</author><pubDate>Tue, 08 Dec 2020 15:37:52 +0800</pubDate><description><![CDATA[显示如图错误。
在github中：右上角头像-&gt; settings --&gt; Developer settings --&gt;Personal access tokens --&gt; Generate new token，创建新的token

全选就行。

复制这个token，使用token登录。
登录成功！

]]></description><category></category></item><item><title><![CDATA[长短时记忆网络（Long short-term memory, LSTM）学习总结]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/110483041</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/110483041</guid><author>Porhowlyuu</author><pubDate>Wed, 02 Dec 2020 15:42:23 +0800</pubDate><description><![CDATA[LSTM总结
长短时记忆网络（Long short-term memory, LSTM）
gif来自：https://cloud.tencent.com/developer/article/1358208
LSTM是循环神经网络RNN的一种变体，先简单提一嘴RNN。


循环神经网络通过使用带自反馈(隐藏层)的神经元，能够处理任意长度的序列。循环神经网络比前馈神经网络更加符合生物神经网络的结构。已经被广泛应用在语音识别、图像处理、语言模型等任务上。所谓自反馈是指序列也就是上面这个图，他可以表示成左边这种简写]]></description><category></category></item><item><title><![CDATA[图神经网络7日打卡营心得]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/110355554</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/110355554</guid><author>Porhowlyuu</author><pubDate>Sun, 29 Nov 2020 22:33:06 +0800</pubDate><description><![CDATA[图神经网络7日打卡营心得

deepwalk&amp;node2vec游走算法



2.GCN+GAT
核心是send和recv 函数，通过两个函数实现消息传递机制。
GAT模型进一步考虑了邻节点对当前节点的重要程度。


GraphSage

采样部分 ：以某个节点为中心，按照距该节点的距离依次采样得到子图，作为训练数据
模型部分 ：提供了聚合函数实现，包括Mean，Maxpool，MeanPool和LSTM四种方式
训练部分 ：实现了数据读取、模型构建和模型训练部分。
采样：假设我们要利用中心节点的k]]></description><category></category></item><item><title><![CDATA[下载Sublime text3很慢]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109614704</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109614704</guid><author>Porhowlyuu</author><pubDate>Wed, 11 Nov 2020 11:09:27 +0800</pubDate><description><![CDATA[下载Sublime text3很慢
在官网Sublime text3安装超级慢，才10M就需要很久
打开F12 然后捕捉元素，复制下载地址去迅雷，1秒搞定



]]></description><category></category></item><item><title><![CDATA[torch_geometric不能下载cora数据集]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109593460</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109593460</guid><author>Porhowlyuu</author><pubDate>Tue, 10 Nov 2020 10:21:32 +0800</pubDate><description><![CDATA[torch_geometric不能下载cora数据集
原因在于url不对了，按住Ctrl点击Planetoid进入其源码

第48行可以看到url

将url中的raw改为tree即可

重新运行代码，数据集开始下载了


]]></description><category></category></item><item><title><![CDATA[windows下载mysql太慢]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109587605</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109587605</guid><author>Porhowlyuu</author><pubDate>Mon, 09 Nov 2020 22:08:34 +0800</pubDate><description><![CDATA[windows下载mysql太慢

下载了3个小时最后终于忍不住了，F12打开控制台

点击左上角捕捉元素，捕捉不登录下载

复制地址去迅雷

新建下载任务，1秒下好了


]]></description><category></category></item><item><title><![CDATA[安装torch_geometric]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109514822</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109514822</guid><author>Porhowlyuu</author><pubDate>Thu, 05 Nov 2020 16:26:48 +0800</pubDate><description><![CDATA[安装torch_geometric
安装完torch后，下载轮子（注意版本cuda python）
isodate：下载链接 https://pypi.org/project/isodate/#files
rdflib：下载链接 https://pypi.org/project/rdflib/#files
plyfile：下载链接 https://pypi.org/project/plyfile/#files
pytest-runner：下载链接 https://pypi.org/project/pytes]]></description><category></category></item><item><title><![CDATA[下载完torch后import报错 OSError: [WinError 126] 找不到指定的模块。 Error loading “D:\Anaconda\envs\tensorflow\li]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109513548</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109513548</guid><author>Porhowlyuu</author><pubDate>Thu, 05 Nov 2020 15:42:08 +0800</pubDate><description><![CDATA[下载完torch后import报错 OSError: [WinError 126] 找不到指定的模块。 Error loading “D:\Anaconda\envs\tensorflow\lib\site-packages\torch\lib\asmjit.dll” or one of its dependencies.
缺少运行库，报错里面已经给了下载地址，复制后直接安装重启即可。


...]]></description><category></category></item><item><title><![CDATA[Echarts图中y轴数据太小转为科学计数法显示]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109374636</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109374636</guid><author>Porhowlyuu</author><pubDate>Thu, 29 Oct 2020 23:35:29 +0800</pubDate><description><![CDATA[Echarts图中y轴数据太小转为科学计数法显示
tooltip如果不同步，可以把formatter中的function拿出去写成一个方法，series中的数据遍历输进去然后转成科学计数法的数据赋值
yAxis:{
     type:Echart.yAxis.type,
      name:Echart.yAxis.name,
      nameGap:Echart.yAxis.nameGap,
      nameLocation:Echart.yAxis.nameLocation,
      a]]></description><category></category></item><item><title><![CDATA[layer的loading添加自定义文字]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109342460</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109342460</guid><author>Porhowlyuu</author><pubDate>Wed, 28 Oct 2020 20:25:31 +0800</pubDate><description><![CDATA[layer的loading添加自定义文字
//loading层
var index = layer.load(2, { //icon0-2 加载中,页面显示不同样式
    shade: [0.4, '#000'], //0.4为透明度 ，#000 为颜色
    content: '异常数据检测中...',
    success: function (layero) {
        layero.find('.layui-layer-content').css({
            'padd]]></description><category></category></item><item><title><![CDATA[Python列表去重]]></title><link>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109333676</link><guid>https://blog.youkuaiyun.com/Porhowlyuu/article/details/109333676</guid><author>Porhowlyuu</author><pubDate>Wed, 28 Oct 2020 15:39:00 +0800</pubDate><description><![CDATA[Python列表去重
abnormalNode = ['4', '6', '4', '4']
abnormalNode = list(set(abnormalNode ))
print(abnormalNode )
['4', '6']


]]></description><category></category></item></channel></rss>