srnn | Zeping Yu This work is accepted by COLING | Machine Learning library
kandi X-RAY | srnn Summary
kandi X-RAY | srnn Summary
Author: Zeping Yu This work is accepted by COLING 2018. Sliced Recurrent Neural Network (SRNN). SRNN is able to get much faster speed than standard RNN by slicing the sequences into many subsequences. The code is written in keras, using tensorflow backend. We implement the SRNN(8,2) here, and Yelp 2013 dataset is used. keras version: 2.1.5 tensorflow version: 1.6.0 python : 2.7 If you have any question, please contact me at zepingyu@foxmail.com. The pre-trained GloVe word embeddings could be downloaded at: The Yelp 2013, 2014 and 2015 datasets are at: Yelp_P, Amazon_P and Amazon_F datasets are at: Here is an interesting modification of SRNN for text generation, similar to language model:
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QUESTION
I have a code like this
...ANSWER
Answered 2020-Aug-10 at 15:26Calls the python script to draw the chart of the selected stocks.
QUESTION
I am currently working on a program that scrapes Yahoo Finance Earnings Calendar Page and stores the data in a file. I am able to scrape the data but I am confused as to why it only scrapes the first 2 and last 2 columns. I also tried to do the same with a table on Wikipedia for List of S&P 500 Companies and am running into the same problem. Any help is appreciated.
Yahoo Finance Code
...ANSWER
Answered 2019-Nov-17 at 07:23As far as I can tell this nothing to do with the data and everything to do with the representation. Only the first and last columns are printed so as to keep the output from being massive and difficult to read. You can even see at the end of your output that your DataFrame has 9 columns.
Take a look here if you want to print the entire thing. You could also use .info
to get some general information on your columns.
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Install srnn
You can use srnn like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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