PyMultiNest | Pythonic Bayesian inference and visualization | Machine Learning library
kandi X-RAY | PyMultiNest Summary
kandi X-RAY | PyMultiNest Summary
PyMultiNest is a Python library typically used in Artificial Intelligence, Machine Learning applications. PyMultiNest has no vulnerabilities, it has build file available and it has low support. However PyMultiNest has 2 bugs and it has a Non-SPDX License. You can download it from GitHub.
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
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PyMultiNest has a low active ecosystem.
It has 176 star(s) with 85 fork(s). There are 18 watchers for this library.
It had no major release in the last 6 months.
There are 17 open issues and 184 have been closed. On average issues are closed in 314 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of PyMultiNest is v2.10
Quality
PyMultiNest has 2 bugs (1 blocker, 0 critical, 0 major, 1 minor) and 124 code smells.
Security
PyMultiNest has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
PyMultiNest code analysis shows 0 unresolved vulnerabilities.
There are 2 security hotspots that need review.
License
PyMultiNest has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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PyMultiNest releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
PyMultiNest saves you 1078 person hours of effort in developing the same functionality from scratch.
It has 2442 lines of code, 86 functions and 24 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed PyMultiNest and discovered the below as its top functions. This is intended to give you an instant insight into PyMultiNest implemented functionality, and help decide if they suit your requirements.
- Plot a trace plot
- Resample the samples according to weights
- Compute the quantile of x
- Plot corner plot
- Plot a 2D histogram
- Plot results
- Plot corner points
- Plot conditional histogram
- Calculates statistics for the posterior distribution
- Get the main data
- Load a text file as a numpy array
- Plots modes marginal
- Test a test function
- Calculate the Cuh function
- Wrap an integrand
- R Solve a log - likelihood problem
- Returns the equal weighted posterior of the equal weight matrix
- Calculate statistics from the posterior distribution
- Load a shared library
- Determine if multinest and post_equal_weights
- Run the main loop
- Plot marginal distribution
- Gets the main data
- Get the equal weighted posterior
- Returns the best fit of the model
- Plots a conditional histogram
- Open a file
Get all kandi verified functions for this library.
PyMultiNest Key Features
No Key Features are available at this moment for PyMultiNest.
PyMultiNest Examples and Code Snippets
No Code Snippets are available at this moment for PyMultiNest.
Community Discussions
Trending Discussions on PyMultiNest
QUESTION
Installation fails when building MultiNest on Red Hat Enterprise Linux Server release 6.10 (Santiago)
Asked 2020-Mar-25 at 19:39
In the process of installing PyMultiNest following the setup prescription, I'm stumbling on a roadblock. Here are the sequence of steps I followed but it's failing when building the libraries (step 2), and the following error is cropping up:
...ANSWER
Answered 2020-Mar-25 at 19:33Clearing the build/ folder as suggested by the author here resolved the issue.
QUESTION
Error when loading module in Python: OSError: [WinError 126] The specified module could not be found
Asked 2018-Dec-13 at 10:41
I have installed a PyMultiNest package and I am trying to access PyCuba which is a part of this package.
When importing it, I keep getting the following error message:
...ANSWER
Answered 2018-Dec-13 at 10:41'libcuba.so' is a DLL file for Linux, not for Windows. Please make sure you installed distribution for Windows, not the Linux one.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyMultiNest
You can download it from GitHub.
You can use PyMultiNest 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 PyMultiNest 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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