Xia Qiaolin - 优快云

今天做了一些小的尝试，算作技术铺垫

# NLL is a symbolic variable ; to get the actual value of NLL, this symbolic  # expression has to be compiled into a Theano function (see the Theano  # tutorial for more details)  NLL = -T.sum(T

anaconda安装的pythonpip install theano安装theano输入import theano遇到warning提示没有找到g++conda install mingw输入import theano遇到报错屏幕爆炸，其中提示Problem occurred during compilation with the command line below:D:\

curl "https://bootstrap.pypa.io/3.2/get-pip.py" -o "get-pip.py"sudo python3 get-pip.py

一开始就报错cant ser remote tunneling就把远程的etc/ssh/sshd_config里面的AllowTcpForwarding改成yes然后service sshd restart 还是不行！！！后来找到python console上面有好多好多错误，最后一行显示的是traitlets.traitlets.TraitError: No default va

http://www.cnblogs.com/xudong-bupt/p/3833933.html1.Python中也有像C++一样的默认缺省函数1 def foo(text,num=0):2 print text,num3 4 foo("asd") #asd 05 foo("def",100) #def 100定义有默认参数的函数时，这些默认值

pip:之前在stackoverflow上找到一个方法，下载了一个get-pip.py的脚本进行安装的，但是一旦pip install --upgrade pip，就会报错syntax error。这次也是stackoverflow上的方法，彻底解决了之前的问题。  下载https://pypi.python.org/packages/2.7/s/setuptools/setuptoo

http://stackoverflow.com/questions/36781461/how-to-use-theano-within-screen-sessionI use theano on a remote server that I first ssh into (I don't have root on that system). This works fine, howeve

conda create -n myenv scipy nb_conda -c peterjc123 torchpip install torchvision

错误： TclError: no display name and no $DISPLAY environment variable Backend TkAgg is interactive backend. Turning interactive mode on.解决： 随便一个靠前的代码里加入import matplotlibmatplotlib.use('Agg')

Install Rouge and PyrougeStep 1: Create a new conda virtual envconda create -n py27env python=2.7 pipsource activate py27env# use " source deactivate" to deactivate the env

python -m ipykernel install --user --name env_name

1. Pytorch's CPU's and GPU's seeds are independent. So set/save/load them independentlyhttps://discuss.pytorch.org/t/are-gpu-and-cpu-random-seeds-independent/1422. If you use randomness on several...

原因是：It looks like you need to flush stdout periodically (e.g. sys.stdout.flush()). In my testing Python doesn't automatically do this even with print until the program exits.You can run Python wit

for z in zi.decode('utf-8'): print(z.encode('utf-8'))

解决了IDE中文显示的问题，通过print(soup.head.title).encode('gb18030')解决了中文路径无法打开的问题，通过file=open(u"D:/users/nancy/share/sae6depart/6系资料/python/crawl.txt","w")import urllibfrom urllib import urlopenc=urrllib.u

碰巧在C:\Users\你的用户名\.ipython\profile_pysh\startup\文件夹下找到了README，里面写得很清楚，只要在此文件夹下放若干个.py文件，则会在ipython启动前执行这些文件（按照字母表顺序执行，如果有多个.py文件的话）。所以你就可以在这里各种import XXX as XX了。

继续学习NLP in Python#coding=UTF-8#上面一句解决中文注释编码错误问题import nltk#查看获取到的文本语料库nltk.corpus.gutenberg.fileids()#给书名附一个简短的名字emmaemma=nltk.corpus.gutenberg.words('austen-emma.txt')#192427len(emma)#同样利用

SyntaxError: Non-ASCII character '\xe5' in file



先看一下预期效果：

#coding=utf-8import nltkfrom nltk.corpus import brownnews_text=brown.words(categories='news')fdist=nltk.FreqDist([w.lower() for w in news_text])modals1=['can', 'could', 'may','might','mu

统计工具#coding=utf-8def lexical_diversity(my_text_data): word_count=len(my_text_data) vocal_size=len(set(my_text_data)) diversity_score=word_count/vocal_size return diversity_score my_text_data=

本文运用字标注法进行中文分词，使用4-tag对语料进行字标注，观察分词效果。模型方面选用开源的条件随机场工具包“CRF++: Yet Another CRF toolkit”进行分词。        本文使用的中文语料资源是SIGHAN提供的backoff 2005语料，目前封闭测试最好的结果是4-tag+CFR标注分词，在北大语料库上可以在准确率，召回率以及F值上达到92%以上的效果，在

http://datanoord.com/2016/02/01/setup-a-deep-learning-environment-on-windows-theano-keras-with-gpu-enabled/

http://blog.youkuaiyun.com/u012162613/article/details/42192293

https://www.google.com/#q=write+lf+instead+of+crlf+python

http://www.youkuaiyun.com/article/2015-08-01/2825362?reload=1

@functools.lru_cachedef func(): ...very useful for loading/rolling out huge image features.