py-oopsi | Python implementation of fast-oopsi smc-oopsi wiener

by liubenyuan Python Version: Current License: No License

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

kandi X-RAY | py-oopsi Summary

py-oopsi is a Python library. py-oopsi has no bugs, it has no vulnerabilities and it has low support. However py-oopsi build file is not available. You can download it from GitHub.

Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning

Support

Quality

Security

License

Reuse

Support

py-oopsi has a low active ecosystem.

It has 13 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1168 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of py-oopsi is current.

Quality

py-oopsi has 0 bugs and 0 code smells.

Security

py-oopsi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

py-oopsi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

py-oopsi does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

py-oopsi releases are not available. You will need to build from source code and install.

py-oopsi has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 220 lines of code, 9 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Performs Newton - Raphson search
Optimized Oopsi_estore
Calculate the parameters for oopsi
Compute Oopsi matrix
Optimizer function
Discretize a matrix
Generate a cross - correlation matrix

Get all kandi verified functions for this library.

py-oopsi Key Features

No Key Features are available at this moment for py-oopsi.

py-oopsi Examples and Code Snippets

No Code Snippets are available at this moment for py-oopsi.

Community Discussions

No Community Discussions are available at this moment for py-oopsi.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install py-oopsi

You can download it from GitHub.
You can use py-oopsi 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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