PyMVPA | MultiVariate Pattern Analysis in Python | Data Visualization library

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

kandi X-RAY | PyMVPA Summary

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

            kandi-support Support

              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

            kandi-Quality Quality

              PyMVPA has no bugs reported.

            kandi-Security Security

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

            kandi-License 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.

            kandi-Reuse 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
            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:



            Answered 2017-Oct-19 at 11:05

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

            Use this approach:


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


            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.


            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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          • CLI

            gh repo clone PyMVPA/PyMVPA

          • sshUrl


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