nest | Nested sampling code for John Skilling

by danodonovan Python Version: Current License: No License

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kandi X-RAY | nest Summary

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

An extremely simple nested sampling routine based on code by Dr. John Skilling. Nested sampling is an alternative (improved?) MCMC approach to finding maximal posterior solutions to Bayesian problems. This code uses the idea of 'eggs' classes which hold all information about the problem. Multiple eggs (held in a utility class 'basket') roll around the nest searching for the optimal solution. On each iteration the egg with the poorest likelihood is rejected in favouor of an evolved copy of one of the eggs with a better likelihood.

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Support

nest has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of nest is current.

Quality

nest has no bugs reported.

Security

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

License

nest 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

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

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

run niter loop
Initialize nest .
Iteratively explore an egg .
Add a jiggle distribution .
Return a random egg
Generate the initial prior
Calculate the variance of the distribution .
Returns the first egg with the best egg .
return the result of the function
Update the model .

Get all kandi verified functions for this library.

nest Key Features

No Key Features are available at this moment for nest.

nest Examples and Code Snippets

No Code Snippets are available at this moment for nest.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install nest

You can download it from GitHub.
You can use nest 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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