common-spatial-patterns | General CSP algorithm implementation for spatial filter

by spolsley Python Version: Current License: MIT

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

kandi X-RAY | common-spatial-patterns Summary

common-spatial-patterns is a Python library. common-spatial-patterns has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However common-spatial-patterns build file is not available. You can download it from GitHub.

General CSP algorithm implementation for spatial filter construction

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Quality

Security

License

Reuse

Support

common-spatial-patterns has a low active ecosystem.

It has 20 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of common-spatial-patterns is current.

Quality

common-spatial-patterns has 0 bugs and 0 code smells.

Security

common-spatial-patterns has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

common-spatial-patterns code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

common-spatial-patterns is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

common-spatial-patterns releases are not available. You will need to build from source code and install.

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

Calculate the spatial filter .
r Compute the whitening transformation matrix .
Compute the covariance matrix .

Get all kandi verified functions for this library.

common-spatial-patterns Key Features

No Key Features are available at this moment for common-spatial-patterns.

common-spatial-patterns Examples and Code Snippets

No Code Snippets are available at this moment for common-spatial-patterns.

Community Discussions

No Community Discussions are available at this moment for common-spatial-patterns.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install common-spatial-patterns

You can download it from GitHub.
You can use common-spatial-patterns 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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