DSSA | Document Sequence with Subtopic Attention | Machine Learning library

by jzbjyb Python Version: Current License: No License

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

kandi X-RAY | DSSA Summary

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

Implementations of Document Sequence with Subtopic Attention (DSSA) model described in the paper:. "Learning to Diversify Search Results via Subtopic Attention" Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, and Ming Yue.

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Quality

Security

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Support

DSSA has a low active ecosystem.

It has 17 star(s) with 8 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 7 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DSSA is current.

Quality

DSSA has no bugs reported.

Security

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

License

DSSA 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

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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Get a list of pairwise pairs for the given metric
Calculate a divider of a metric
Get the metric for the given metric
Calculate the error score
Fit the dataset
Builds graph
Convert a batch of data into a feeddict
Generate batch data for training
Load the query suggestions
Load datasets
Load TREC diversity
Load a dataset
Convert a rank to a query
Load an embedding file
Compute the rank of the query
Calculate the best error score
Return the metric corresponding to the given metric
Load query suggestions from files
Return the top N terms of the query
Calculates the diversity score for a diversity query
Compute the decision function
Return the worst rank of the given metric
Load algo_best

Get all kandi verified functions for this library.

DSSA Key Features

No Key Features are available at this moment for DSSA.

DSSA Examples and Code Snippets

No Code Snippets are available at this moment for DSSA.

Community Discussions

Trending Discussions on DSSA

parse char array and don't delete delimiter c++

QUESTION

parse char array and don't delete delimiter c++

Asked 2020-Dec-16 at 12:37

I have the next code:

...

ANSWER

Answered 2020-Dec-16 at 08:29

using regex_search

Source https://stackoverflow.com/questions/65319358

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

Vulnerabilities

No vulnerabilities reported

Install DSSA

The project is implemented using python 3.5 and tested in Linux environment. Follow the steps to quickly run the model:.

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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