teer | Create human readable summations of data | Data Visualization library

by Rambatino Ruby Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | teer Summary

teer is a Ruby library typically used in Analytics, Data Visualization applications. teer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Picture the scene. You have a lot of data and you want to present the results of that data on a chart or a web page. How would you go about turning variable data into a human readable format - let's say you wanted to summarise a chart?. This small library aims to solve that problem.

Support

Quality

Security

License

Reuse

Support

teer 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.

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

It has a neutral sentiment in the developer community.

The latest version of teer is current.

Quality

teer has 0 bugs and 0 code smells.

Security

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

teer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

teer 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

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

Installation instructions, examples and code snippets are available.

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teer Key Features

No Key Features are available at this moment for teer.

teer Examples and Code Snippets

No Code Snippets are available at this moment for teer.

Community Discussions

Trending Discussions on teer

__init__() got an unexpected keyword argument 'handle_unknown'

QUESTION

__init__() got an unexpected keyword argument 'handle_unknown'

Asked 2021-Aug-10 at 08:29

I'm trying to Ordinal Encode my categorical features using sklearn, but I get the error __init__() got an unexpected keyword argument 'handle_unknown' when I compile the below code:

...

ANSWER

Answered 2021-Aug-10 at 08:25

You are most likely not using an appropriate version of scikit-learn.

handle_unknown and unknown_value were added to OrdinalEncoder with the release of version 0.24.0 (see release history).

Check your version of scikit-learn and upgrade if necessary.

Source https://stackoverflow.com/questions/68723094

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

Vulnerabilities

No vulnerabilities reported

Install teer

Add this line to your application's Gemfile:.

Support

Bug reports and pull requests are welcome on GitHub at https://github.com/Rambatino/teer. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

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