<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Science Evan Blog]]></title><description><![CDATA[NLP, 机器学习, Python]]></description><link>https://blog.youkuaiyun.com/selfimpro_001</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; selfimpro_001]]></copyright><item><title><![CDATA[Windows:This Python interpreter is in a conda environment, but the environment has not been activate]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/108981397</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/108981397</guid><author>selfimpro_001</author><pubDate>Fri, 09 Oct 2020 16:36:44 +0800</pubDate><description><![CDATA[Windows:This Python interpreter is in a conda environment, but the environment has not been activated.
解决方案

重新安装Anaconda,
在cmd窗口中输入：CALL conda.bat activate
py2neo==3.1.1 安装前需要把site-packages里面的历史文件删除，然后用whl文件安装；
在cmd环境下，重启后还会报错，但是在Anaconda Prompt环境下可正常使用；
]]></description><category></category></item><item><title><![CDATA[Anaconda安装报错：bunzip2: command not found]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/108142223</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/108142223</guid><author>selfimpro_001</author><pubDate>Fri, 21 Aug 2020 10:37:26 +0800</pubDate><description><![CDATA[Anaconda安装报错：
bunzip2: command not found
tar: This does not look like a tar archive
tar: Exiting with failure status due to previous errors
解决方法
yum install -y bzip2


]]></description><category></category></item><item><title><![CDATA[ImportError: cannot import name ‘create_prompt_application‘]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/107865621</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/107865621</guid><author>selfimpro_001</author><pubDate>Fri, 07 Aug 2020 16:42:08 +0800</pubDate><description><![CDATA[pip install --upgrade prompt-toolkit==1.0.5

]]></description><category></category></item><item><title><![CDATA[ZeroDivisionError: float division by zero]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/106586869</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/106586869</guid><author>selfimpro_001</author><pubDate>Sat, 06 Jun 2020 14:04:41 +0800</pubDate><description><![CDATA[报错：
ZeroDivisionError: float division by zero
原因：
被除数为0

]]></description><category></category></item><item><title><![CDATA[ImportError: /lib64/libstdc++.so.6: version `CXXABI_1.3.9' not found (required by /data/smzh/anacond]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/104612653</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/104612653</guid><author>selfimpro_001</author><pubDate>Mon, 02 Mar 2020 15:31:47 +0800</pubDate><description><![CDATA[ImportError: /lib64/libstdc++.so.6: version `CXXABI_1.3.9’ not found (required by /data/smzh/anaconda3/lib/python3.6/site-packages/scipy/sparse/_sparsetools.cpython-36m-x86_64-linux-gnu.so)
解决方法-添加如下到...]]></description><category></category></item><item><title><![CDATA[PyCharm使用最多也最常用默认快捷键介绍]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/103770299</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/103770299</guid><author>selfimpro_001</author><pubDate>Mon, 30 Dec 2019 17:44:42 +0800</pubDate><description><![CDATA[https://blog.youkuaiyun.com/chichu261/article/details/82810584

]]></description><category></category></item><item><title><![CDATA[ValueError: Cannot feed value of shape (64, 2) for Tensor 'input_y:0', which has shape '(?, 3)']]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/103567682</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/103567682</guid><author>selfimpro_001</author><pubDate>Mon, 16 Dec 2019 18:35:48 +0800</pubDate><description><![CDATA[ValueError: Cannot feed value of shape (64, 2) for Tensor ‘input_y:0’, which has shape ‘(?, 3)’
解决方法参考：https://blog.youkuaiyun.com/yangfengling1023/article/details/83746239

]]></description><category></category></item><item><title><![CDATA[Tensorflow Error：AttributeError: 'module' object has no attribute 'LinearOperatorTriL']]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/103289630</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/103289630</guid><author>selfimpro_001</author><pubDate>Thu, 28 Nov 2019 11:02:17 +0800</pubDate><description><![CDATA[现象：AttributeError: ‘module’ object has no attribute ‘LinearOperatorTriL’
原因：Tensorflow 版本问题
解决方法：
把  tril = tf.contrib.linalg.LinearOperatorTriL(diag_vals).to_dense() # (T_q, T_k)
换成 tril = tf.linalg....]]></description><category></category></item><item><title><![CDATA[fasttext安装报错：RuntimeError: Unsupported compiler -- at least C++0x support is needed!]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/102621599</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/102621599</guid><author>selfimpro_001</author><pubDate>Fri, 18 Oct 2019 11:04:33 +0800</pubDate><description><![CDATA[CentOS7.5 安装fasttext 报错
RuntimeError: Unsupported compiler -- at least C++0x support is needed!

解决方法
yum install gcc-c++


https://zhuanlan.zhihu.com/p/76159497


]]></description><category></category></item><item><title><![CDATA[Linux 中/etc/profile、~/.bash_profile 环境变量配置及执行过程]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/102565853</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/102565853</guid><author>selfimpro_001</author><pubDate>Tue, 15 Oct 2019 14:10:17 +0800</pubDate><description><![CDATA[Linux 中/etc/profile、~/.bash_profile 环境变量配置及执行过程（分享）
转自：
https://blog.youkuaiyun.com/hnoysz/article/details/78666272

]]></description><category></category></item><item><title><![CDATA[ERROR: Cannot uninstall 'wrapt'. It is a distutils installed project and thus we cannot accurately d]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/102484949</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/102484949</guid><author>selfimpro_001</author><pubDate>Thu, 10 Oct 2019 16:28:08 +0800</pubDate><description><![CDATA[安装Tensorflow2.0报如下错误
ERROR: Cannot uninstall 'wrapt'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall....]]></description><category></category></item><item><title><![CDATA[bert absl.flags._exceptions.ValidationError: Flag --data_dir must be specified.]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/102478273</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/102478273</guid><author>selfimpro_001</author><pubDate>Thu, 10 Oct 2019 11:56:10 +0800</pubDate><description><![CDATA[absl.flags._exceptions.ValidationError: Flag --data_dir must be specified.
问题

在运行bert分类脚本的时候，如果在shell里面执行，会报出–data_dir路径不对问题，尝试过如下：

修改train.sh中–data_dir为绝对路径----失败
–data_dir路径中添加引号–失败
修改为./data –失败
...]]></description><category></category></item><item><title><![CDATA[Git 提交代码]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/101695967</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/101695967</guid><author>selfimpro_001</author><pubDate>Sun, 29 Sep 2019 15:48:48 +0800</pubDate><description><![CDATA[1. 查看代码修改状态
git status

2. 添加代码到分支上
git add .  # 添加所有修改到分支
git add 分支路径  # 添加部分修改到分支上

3. 添加提交注释内容，说明提交的内容
git commit -m "说明内容"

4. 拉取远程仓库的代码
git pull origin master

5. 把代码推送到远程仓库
git push origin mast...]]></description><category></category></item><item><title><![CDATA[Git 使得远程代码、自己分支上的代码和本地代码同步]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/101686823</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/101686823</guid><author>selfimpro_001</author><pubDate>Sun, 29 Sep 2019 13:36:37 +0800</pubDate><description><![CDATA[Git 使得远程代码、自己分支上的代码和本地代码同步
1. 项目下载到本地
git clone 项目名称

2. 关注某个项目
设置项目为watching
3. 查看远程项目信息
git remote -v

4. 删除远程分支
如果远程分支已经存在，可以先删除，删除方法如下：
git remote remove origin
git remote remove upstream

5. Clon...]]></description><category></category></item><item><title><![CDATA[Python TODO说明]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/101622491</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/101622491</guid><author>selfimpro_001</author><pubDate>Sat, 28 Sep 2019 16:53:04 +0800</pubDate><description><![CDATA[一. Python TODO说明
TODO主要是为了说明待做任务，一般标明任务人、任务时间、任务人联系方式等信息。

二. TODO使用规范

TODO注释应该在所有开头处包含”TODO”字符串, 紧跟着是用括号括起来的你的名字, email地址或其它标识符。
然后是一个可选的冒号。接着必须有一行注释, 解释要做什么。
如果你的TODO是”将来做某事”的形式, 那么请确保你包含了一个指定的日期(“...]]></description><category></category></item><item><title><![CDATA[MySQL-数据处理函数]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/100603128</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/100603128</guid><author>selfimpro_001</author><pubDate>Sat, 07 Sep 2019 17:45:20 +0800</pubDate><description><![CDATA[Upper()将文本转换为大写 ;
SELECT
	AREAR_CODE, UPPER(AREAR_CODE) AS AREAR_CODE_UPPER FROM net_resource_msg_log LIMIT 2;
I Like English --&gt; I LIKE ENGLISH

Left(str, str_len) 返回串左边的字符: str 表示选取的列名，str_len从左边...]]></description><category></category></item><item><title><![CDATA[MySQL-数据拼接]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/100603092</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/100603092</guid><author>selfimpro_001</author><pubDate>Sat, 07 Sep 2019 17:44:13 +0800</pubDate><description><![CDATA[MySQL的不同之处  多数DBMS使用+或||来实现拼接，MySQL则使用Concat()函数来实现。当把SQL语句转换成MySQL 语句时一定要把这个区别铭记在心。
Concat() 拼接串，即把多个串连接起来形成一个较长的串。
Concat() 需要一个或多个指定的串，各个串之间用逗号分隔。
RTrim() 函数去掉值右边的所有空格。通过使用RTrim()，各个列都进行了整理 。
拼接后的字...]]></description><category></category></item><item><title><![CDATA[xlrd操作excel数据]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/100292972</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/100292972</guid><author>selfimpro_001</author><pubDate>Mon, 02 Sep 2019 15:28:29 +0800</pubDate><description><![CDATA[import xlrd

# 打开Excel文件
data = xlrd.open_workbook(r'示例数据.xlsx')

# xlrd中常用函数

table = data.sheets()[0]  # 通过索引顺序获取sheet, 返回xlrd.sheet.Sheet()对象
print(table)

table = data.sheet_by_index(0)  # 通过索引顺序获...]]></description><category></category></item><item><title><![CDATA[MySQL数据库备份方法]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/100138985</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/100138985</guid><author>selfimpro_001</author><pubDate>Thu, 29 Aug 2019 15:19:20 +0800</pubDate><description><![CDATA[1. 备份整个数据库
# 示例用户名/密码分别是：root/root, 数据库名：mydb，备份名：mydb.sql
mysqldump -u root -proot mydb &gt; D:\mydb.sql
2. 备份数据库中的某个表
# 示例用户名/密码分别是：root/root, 数据库名：mydb， 表名是test_table, 备份名：test_table.sql
mysqldump ...]]></description><category></category></item><item><title><![CDATA[Python列表去重方法汇总]]></title><link>https://blog.youkuaiyun.com/selfimpro_001/article/details/100083486</link><guid>https://blog.youkuaiyun.com/selfimpro_001/article/details/100083486</guid><author>selfimpro_001</author><pubDate>Mon, 26 Aug 2019 18:29:46 +0800</pubDate><description><![CDATA[1. 列表转set
test_list = ['1', '1', '2', '3', '3', '4']
result = set(test_list)
print(result)
"""{'4', '2', '1', '3'}""" # 顺序变了
为了让顺序不变可以添加test_list中的索引
result = list(set(test_list))
result.sort(key=test...]]></description><category></category></item></channel></rss>