contextualized-ml

v0.2.8

A statistical machine learning toolbox for estimating models, distributions, and functions with sample-specific parameters. For more information about how to use this package see README

Latest version published 7 months ago

License: GPL-3.0

PyPI

GitHub

Package Health Score

62 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Sustainable

Popularity

Limited

GitHub Stars: 65
Forks: 10
Contributors: 9

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package contextualized-ml, we found that it has been starred 65 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 7, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

GPL-3.0

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 39
Open PR: 3
Last Release: 7 months ago
Last Commit: 2 months ago

Further analysis of the maintenance status of contextualized-ml based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

We found that contextualized-ml demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 9
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like contextualized-ml is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 2 years
Latest Release: 7 months ago
Dependencies: 0 Direct
Versions: 8
Maintainers: 1
Wheels: OS Independent

Readme

License Maintenance pylint Score

An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.

Context-specific parameters:

Find hidden heterogeneity in data -- are all samples the same?
Identify context-specific predictors -- are there different reasons for outcomes?
Enable domain adaptation -- can learned models extrapolate to new contexts?

Quick Start

Installation

pip install contextualized-ml

Take a look at the easy demo for a quickstart with sklearn-style wrappers.

Build a Contextualized Model

from contextualized.easy import ContextualizedRegressor
model = ContextualizedRegressor()
model.fit(C, X, Y)

Predict Context-Specific Parameters

model.predict_params(C)

See the docs for more examples.

Important links

Contextualized Family

Context-dependent modeling is a universal problem, and every domain presents unique challenges and opportunities. Here are some layers that others have added on top of Contextualized. Feel free to add your own page(s) by sending a PR or request an improvement by creating an issue. See CONTRIBUTING.md for more information about the process of contributing to this project.

bio-contextualized.ml

Contextualized and analytical tools for modeling medical and biological heterogeneity

Thanks to all our contributors

Contextualized ML was originally implemented by Caleb Ellington (CMU) and Ben Lengerich (MIT).

Many people have helped. Check out ACKNOWLEDGEMENTS.md!

Related Publications and Pre-prints

Videos

Contact Us

Please get in touch with any questions, feature requests, or applications by using the GitHub discussions page.

FAQs

What is contextualized-ml?

A statistical machine learning toolbox for estimating models, distributions, and functions with sample-specific paramet... Visit Snyk Advisor to see a full health score report for contextualized-ml, including popularity, security, maintenance & community analysis.

Is contextualized-ml popular?

The python package contextualized-ml receives a total of 141 weekly downloads. As such, contextualized-ml popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is contextualized-ml well maintained?

We found indications that contextualized-ml is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is contextualized-ml safe to use?

The python package contextualized-ml was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 17 November-2024, at 14:13 (UTC).

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