RREA | Relational Reflection Entity Alignment | Reflection library

by MaoXinn Python Version: Current License: No License

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

kandi X-RAY | RREA Summary

RREA is a Python library typically used in Programming Style, Reflection applications. RREA has no bugs, it has no vulnerabilities and it has low support. However RREA build file is not available. You can download it from GitHub.

Relational Reflection Entity Alignment

Support

Quality

Security

License

Reuse

Support

RREA has a low active ecosystem.

It has 19 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RREA is current.

Quality

RREA has 0 bugs and 0 code smells.

Security

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

RREA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RREA 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

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

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

Top functions reviewed by kandi - BETA

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

Load training data
Compute the adjacency matrix
Load triples from a file
Normalize adjacency matrix
Load alignment pair
Calculate the average rank of the input matrix
Calculate the CSLS_simulation of a matrix
Compute the similarity between two embedding matrices
Evaluate the alignment between two embeds
Divide a list into lists
Calculate mean rank by divider
Computes the Euclidean distance between two embeds
Generate neighbors between two entities
Merge two dictionaries
Calculate nearest neighbors
Compute the pairwise distances between two matrices

Get all kandi verified functions for this library.

RREA Key Features

No Key Features are available at this moment for RREA.

RREA Examples and Code Snippets

No Code Snippets are available at this moment for RREA.

Community Discussions

Trending Discussions on RREA

Get data in multiple level nested serializer using Django Rest

QUESTION

Get data in multiple level nested serializer using Django Rest

Asked 2019-Mar-26 at 10:11

Need to serialize three models nested in three levels. There are users assigned areas and these contains point. The users contains multiple areas. Areas have multiple points associated. Users links areas using many to many relationship. Areas Links with point using Foreign in the points. Users can be assigned to multiple areas. Areas can have multiple points.

User Profile Model

...

ANSWER

Answered 2019-Mar-26 at 10:11

I have resolved this using LocationSerializer which invoked by AreasSerializer. I am sharing the code snippet. It was pretty easy.

Source https://stackoverflow.com/questions/55352257

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

Vulnerabilities

No vulnerabilities reported

Install RREA

You can download it from GitHub.
You can use RREA 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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