debug_seq2seq | Make seq2seq for keras work | Chat library

by nicolas-ivanov Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | debug_seq2seq Summary

debug_seq2seq is a Python library typically used in Messaging, Chat, Tensorflow, Keras, Neural Network applications. debug_seq2seq has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

[unmaintained] Make seq2seq for keras work

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Support

debug_seq2seq has a low active ecosystem.

It has 235 star(s) with 88 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 20 open issues and 10 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of debug_seq2seq is current.

Quality

debug_seq2seq has 0 bugs and 0 code smells.

Security

debug_seq2seq has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

debug_seq2seq code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

debug_seq2seq does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

debug_seq2seq releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed debug_seq2seq and discovered the below as its top functions. This is intended to give you an instant insight into debug_seq2seq implemented functionality, and help decide if they suit your requirements.

Train the neural network
Get tokens from the processed text
Read a token index file
Loads the text lines and token index from a file
Create a dialog model for the dialog
Train a Word2Vec model
Load a Word2Vec model
Creates a vectorized version of the token vector
Get a logger

Get all kandi verified functions for this library.

debug_seq2seq Key Features

No Key Features are available at this moment for debug_seq2seq.

debug_seq2seq Examples and Code Snippets

No Code Snippets are available at this moment for debug_seq2seq.

Community Discussions

Trending Discussions on debug_seq2seq

gensim installed in anaconda env but won't import in jupyter notebook

QUESTION

gensim installed in anaconda env but won't import in jupyter notebook

Asked 2019-Jul-09 at 21:59

I'm trying to install gensim in a specific conda env on my Python 3 only, Windows 10 machine. I've tried 3 different ways based on suggestions in SO and elsewhere, summarized below. Each time it shows as successfully installed and present in the env, but when I try to import it in jupyter notebook I get the ModuleNotFoundError: No module named 'gensim' error.

Note: I closed and relaunched anaconda and jupyter after each install.

SUMMARY: 3 attempts with 3 install commands:

...

ANSWER

Answered 2019-Jul-09 at 21:59

Per our discussion in the comments, when you launch via jupyter directly, it seems you're using some other (perhaps system-wide) Python interpreter & environment – one which doesn't have gensim installed – even though you've "activated" your SARC environment. (Essentially, "activating" an environment tries to alias python & some other things to use the right enviroment, but other commands might still reach out to some other Python installation.)

Per @furas' suggestion of using python -m jupyter notebook, you'll be sure to invoke plain python, and thus the SARC environment – and thus test whether gensim and/or jupyter are even really installed inside the SARC environment.

If not, be sure to install them there, and make sure any interpreters/notebooks you launch truly use the intended environment.

Source https://stackoverflow.com/questions/56910538

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install debug_seq2seq

You can download it from GitHub.
You can use debug_seq2seq 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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