relation_extraction | A Repository for relation_extraction task | Natural Language Processing library

by KaiyuanGao Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | relation_extraction Summary

relation_extraction is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning applications. relation_extraction has no bugs, it has no vulnerabilities and it has low support. However relation_extraction build file is not available. You can download it from GitHub.

A Repository for one of NLP tasks---relation extraction, with different implementations.

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Quality

Security

License

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Support

relation_extraction has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

relation_extraction has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of relation_extraction is current.

Quality

relation_extraction has no bugs reported.

Security

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

License

relation_extraction 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

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

relation_extraction has no build file. You will be need to create the build yourself to build the component from source.

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relation_extraction Key Features

No Key Features are available at this moment for relation_extraction.

relation_extraction Examples and Code Snippets

No Code Snippets are available at this moment for relation_extraction.

Community Discussions

Trending Discussions on relation_extraction

Transform map to mapPartition using pyspark

HBase read/write using pyspark

QUESTION

Transform map to mapPartition using pyspark

Asked 2017-Feb-08 at 18:14

I am trying to load a tensorflow model from disk and predicting the values.

Code

...

ANSWER

Answered 2017-Feb-08 at 16:04

I am not sure if I get your question correctly, but we can optimise your code a bit here.

Source https://stackoverflow.com/questions/42112407

QUESTION

HBase read/write using pyspark

Asked 2017-Feb-03 at 07:16

I am trying to read and write from hbase using pyspark.

Code

...

ANSWER

Answered 2017-Feb-03 at 04:45

set in conf object

Source https://stackoverflow.com/questions/42000089

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

Vulnerabilities

No vulnerabilities reported

Install relation_extraction

You can download it from GitHub.
You can use relation_extraction 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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