aehmc | An HMC/NUTS implementation in Aesara
kandi X-RAY | aehmc Summary
kandi X-RAY | aehmc Summary
aehmc is a Python library. aehmc has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install aehmc' or download it from GitHub, PyPI.
An HMC/NUTS implementation in Aesara
An HMC/NUTS implementation in Aesara
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Quality
Security
License
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Support
aehmc has a low active ecosystem.
It has 32 star(s) with 6 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 8 open issues and 33 have been closed. On average issues are closed in 54 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of aehmc is 0.0.11
Quality
aehmc has no bugs reported.
Security
aehmc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
aehmc is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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aehmc releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed aehmc and discovered the below as its top functions. This is intended to give you an instant insight into aehmc implemented functionality, and help decide if they suit your requirements.
- Return a dict containing the cmdclass
- Returns the project root directory
- Create a ConfigParser from a given root
- Extract version information from VCS
- Wrapper function for window_adaptation
- Calculate the dual average adaptation state
- Calculate window adaptation
- Returns a function that returns the covariance matrix
- Returns a function that evaluates a new NUTS algorithm
- Generates a proposal function for a given transition
- Create a function to propose a new state
- Return a function that returns an iterative TURN
- Perform a progressive uniform sampling
- Check if the proposed proposal is updated
- Create a versioneer config file
- Install versioneer
- Scans the setup py file for missing values
- Performs a progressive sampling on a random sample
Get all kandi verified functions for this library.
aehmc Key Features
No Key Features are available at this moment for aehmc.
aehmc Examples and Code Snippets
No Code Snippets are available at this moment for aehmc.
Community Discussions
No Community Discussions are available at this moment for aehmc.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aehmc
You can install using 'pip install aehmc' or download it from GitHub, PyPI.
You can use aehmc 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.
You can use aehmc 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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