nemenyi | Post-hoc Nemenyi test for algorithm statistical comparison | Analytics library

by gabrieljaguiar Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | nemenyi Summary

nemenyi is a Python library typically used in Analytics, Pandas applications. nemenyi has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Library to perform the Friedman statistical test and Nemenyi post-hoc analysis.

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Support

nemenyi has a low active ecosystem.

It has 17 star(s) with 3 fork(s). There are 4 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 483 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nemenyi is current.

Quality

nemenyi has 0 bugs and 0 code smells.

Security

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

nemenyi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nemenyi 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

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

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

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

Top functions reviewed by kandi - BETA

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

Write a tikz picture
Returns a list of the segments that are connected to the given rank
Find the index of the segment in the segment
Normalize ranks by width

Get all kandi verified functions for this library.

nemenyi Key Features

No Key Features are available at this moment for nemenyi.

nemenyi Examples and Code Snippets

No Code Snippets are available at this moment for nemenyi.

Community Discussions

Trending Discussions on nemenyi

How can plot Results of the Friedman-Nemenyi test using python

Javascript chooser

QUESTION

How can plot Results of the Friedman-Nemenyi test using python

Asked 2018-Dec-15 at 19:15

I calculated results of the Friedman-Nemenyi test for 12 datasets and 11 classifiers and I want to plot the results like the following figure

I computed all the requirement CD is single number (shown as CD in the figure), list of classifiers (C4.5+m+cf, C4.5+m and so) and the value of mean ranked (which on x axis)

Many thanks in advance

2: enter link description here

...

ANSWER

Answered 2017-Apr-13 at 12:24

In order to reproduce the above plot, you may just set 3 of the spines of a normal plot to invisible and then add the respective elements to the plot.

Source https://stackoverflow.com/questions/43383144

QUESTION

Javascript chooser

Asked 2018-Dec-13 at 23:22

I had to make an html page where i can choose a random person from a list (which is my class).

I did this,but now i have mark and ignore the absent people from the random chooser.

Like an e-registry.

If you click on the button it SHOULD remove the name from the list and disable the button.

My problem is that i cant remove specific elements from the list.

It would be something like:

Not remove the number of string, rather than removing the actual string which says the same as the button.

Im sooo sorry for the hungarian comments but its mostly names and some quidance for me.

...

ANSWER

Answered 2018-Dec-05 at 19:05

Your code signals to me that you're quite new, so I won't be doing a massive overhaul of your code. You should know that you don't need to create an individual function to remove individual name from your array.

You only need one:

Source https://stackoverflow.com/questions/53622258

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

Vulnerabilities

No vulnerabilities reported

Install nemenyi

You can download it from GitHub.
You can use nemenyi 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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