label_shift | A simple algorithm to identify and correct for label shift | Machine Learning library

by zackchase Jupyter Notebook Version: Current License: MIT

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

kandi X-RAY | label_shift Summary

label_shift is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning applications. label_shift has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A simple algorithm to identify and correct for label shift.

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Quality

Security

License

Reuse

Support

label_shift has a low active ecosystem.

It has 14 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of label_shift is current.

Quality

label_shift has 0 bugs and 0 code smells.

Security

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

label_shift code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

label_shift 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

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

It has 2507 lines of code, 28 functions and 20 files.

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

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label_shift Key Features

No Key Features are available at this moment for label_shift.

label_shift Examples and Code Snippets

No Code Snippets are available at this moment for label_shift.

Community Discussions

Trending Discussions on label_shift

How to reshape data in Tensorflow dataset?

QUESTION

How to reshape data in Tensorflow dataset?

Asked 2021-Mar-30 at 02:54

I am writing a data pipeline to feed batches of time-series sequences and corresponding labels into an LSTM model which requires a 3D input shape. I currently have the following:

...

ANSWER

Answered 2021-Mar-30 at 02:54

That's easy. Do this in your split function

Source https://stackoverflow.com/questions/66862298

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

Vulnerabilities

No vulnerabilities reported

Install label_shift

You can download it from GitHub.

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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