affectiveComp

by brucechin Python Version: Current License: No License

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

kandi X-RAY | affectiveComp Summary

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

affectiveComp

Support

Quality

Security

License

Reuse

Support

affectiveComp has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

affectiveComp has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of affectiveComp is current.

Quality

affectiveComp has no bugs reported.

Security

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

License

affectiveComp 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

affectiveComp releases are not available. You will need to build from source code and install.

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

Compute the mean error curve for a given toy .
This function calculates the mean error curve for each sample .
Load MimiAnalyser .
Compute the error curve
returns a list of tuples for the given type and condition
Clean out the outliner data .
Plot the error curve .
function to plot the chord
Return the number of significant figures
Compute the quadrant .

Get all kandi verified functions for this library.

affectiveComp Key Features

No Key Features are available at this moment for affectiveComp.

affectiveComp Examples and Code Snippets

No Code Snippets are available at this moment for affectiveComp.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install affectiveComp

You can download it from GitHub.
You can use affectiveComp 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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