PyMVPA | MultiVariate Pattern Analysis in Python | Data Visualization library

by PyMVPA Python Version: upstream/2.6.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PyMVPA Summary

PyMVPA is a Python library typically used in Analytics, Data Visualization applications. PyMVPA has no bugs, it has no vulnerabilities, it has build file available and it has low support. However PyMVPA has a Non-SPDX License. You can download it from GitHub.

MultiVariate Pattern Analysis in Python

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PyMVPA has a low active ecosystem.

It has 286 star(s) with 123 fork(s). There are 39 watchers for this library.

It had no major release in the last 12 months.

There are 99 open issues and 174 have been closed. On average issues are closed in 47 days. There are 23 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PyMVPA is upstream/2.6.0

Quality

PyMVPA has no bugs reported.

Security

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

License

PyMVPA 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.

Reuse

PyMVPA releases are available to install and integrate.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Main entry point
Create a fMRI dataset
Append mapper
Return a new MDS with the given mapper
Perform a training step
Evaluate the pmeasure
Assign a slicearg
Get training and test dataset
Setup package
Train the model
Calculate the average area of a dataset
Find connected components
Call a single split on a split
Get the mappings between two surfaces
Generate a mask based on a set of features
Maps a surface to a high resolution
Convert Dataset to GIFTI format
Map from Vororoii to high resolution
Returns balanced set of elements
A simple HRF dataset
Initialize the model
Run voxel selection on a given radius
Plot the topography of the topography
Wrapper for disc search engine
Call the model on the given dataset
Evaluate t test

Get all kandi verified functions for this library.

PyMVPA Key Features

No Key Features are available at this moment for PyMVPA.

PyMVPA Examples and Code Snippets

No Code Snippets are available at this moment for PyMVPA.

Community Discussions

Trending Discussions on PyMVPA

mvpa2: restore SOM from Kohonen layer

QUESTION

mvpa2: restore SOM from Kohonen layer

Asked 2017-Oct-19 at 11:05

I'm trying to implement self-organising maps in Python using pymvpa2 SOM mapper.
It works just fine, but how do I save the resulting SOM?

h5save didn't work for me and I started wondering, if I can create an empty SOM instance and then attach a saved Kohonen layer to it? However, when I try to feed the Kohonen matrix to an empty mapper I get this error:

...

ANSWER

Answered 2017-Oct-19 at 11:05

You can't access som.K but if you look into som.py from package you'll see that the script uses som._K to modify Kohonen layers.

Use this approach:

Source https://stackoverflow.com/questions/46731598

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

Vulnerabilities

No vulnerabilities reported

Install PyMVPA

You can download it from GitHub.
You can use PyMVPA 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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