RNN-Trust | Recurrent Neural Network implementation to model

by BhavtoshRath Python Version: Current License: No License

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

kandi X-RAY | RNN-Trust Summary

RNN-Trust is a Python library. RNN-Trust has no bugs, it has no vulnerabilities and it has low support. However RNN-Trust build file is not available. You can download it from GitHub.

Recurrent Neural Network implementation to model Computational Trust in Twitter's retweet network.

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Quality

Security

License

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Support

RNN-Trust has a low active ecosystem.

It has 2 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RNN-Trust is current.

Quality

RNN-Trust has no bugs reported.

Security

RNN-Trust has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

RNN-Trust 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

RNN-Trust releases are not available. You will need to build from source code and install.

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

Theano build function
Train a model using sgd .
Calculates the accuracy of the prediction .
Initialize the network .
Load model parameters fromano .
Calculate the total loss .
Saves the model parameters to theano .
Softmax function .

Get all kandi verified functions for this library.

RNN-Trust Key Features

No Key Features are available at this moment for RNN-Trust.

RNN-Trust Examples and Code Snippets

No Code Snippets are available at this moment for RNN-Trust.

Community Discussions

No Community Discussions are available at this moment for RNN-Trust.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install RNN-Trust

You can download it from GitHub.
You can use RNN-Trust 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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