funnel_gsn | Radford Neal 's funnel distribution

by eamartin Python Version: Current License: No License

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

kandi X-RAY | funnel_gsn Summary

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

Attempting to sample from Radford Neal's funnel distribution with generative stochastic networks.

Support

Quality

Security

License

Reuse

Support

funnel_gsn has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of funnel_gsn is current.

Quality

funnel_gsn has 0 bugs and 0 code smells.

Security

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

funnel_gsn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

funnel_gsn 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

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

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

It has 108 lines of code, 11 functions and 4 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train the network .
Get monitoring channels .
Sample a tunnel .
Reconstructs the original point
Returns the next point .
Generate random points .
Initialize the model .
Return an iterator over the tunnels .
Check if the message has any targets .
r Linear product .

Get all kandi verified functions for this library.

funnel_gsn Key Features

No Key Features are available at this moment for funnel_gsn.

funnel_gsn Examples and Code Snippets

No Code Snippets are available at this moment for funnel_gsn.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install funnel_gsn

You can download it from GitHub.
You can use funnel_gsn 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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