Package Health Score

60 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Sustainable

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cyclical
44

Popularity

Limited

GitHub Stars: 86
Forks: 15
Contributors: 9

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package cyclic-boosting, we found that it has been starred 86 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Feb 9, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

EPL-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 2
Open PR: 4
Last Release: 10 months ago
Last Commit: 3 months ago

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

We found that cyclic-boosting 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: No
Code of Conduct: Yes
Contributors: 9
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8,<3.12

Age: 2 years
Latest Release: 10 months ago
Dependencies: 10 Direct
Versions: 19
Maintainers: 1
Wheels: OS Independent

Readme

cyclic-boosting

This package contains the implementation of the machine learning algorithm Cyclic Boosting, which is described in Cyclic Boosting - an explainable supervised machine learning algorithm and Demand Forecasting of Individual Probability Density Functions with Machine Learning.

Documentation

The documentation can be found here.

Quickstart

pip install cyclic-boosting

from cyclic_boosting.pipelines import pipeline_CBPoissonRegressor
CB_est = pipeline_CBPoissonRegressor()
CB_est.fit(X_train, y)
yhat = CB_est.predict(X_test)

Usage

It can be used in a scikit-learn-like fashion, combining a binning method (e.g., BinNumberTransformer) with a Cyclic Boosting estimator (find all estimators in the init). Usage examples can be found in the integration tests.

cyclic-boosting dependencies

decorator hypothesis matplotlib numba numexpr numpy pandas scikit-learn scipy six

FAQs

What is cyclic-boosting?

Implementation of Cyclic Boosting machine learning algorithms. Visit Snyk Advisor to see a full health score report for cyclic-boosting, including popularity, security, maintenance & community analysis.

Is cyclic-boosting popular?

The python package cyclic-boosting receives a total of 509 weekly downloads. As such, cyclic-boosting popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is cyclic-boosting well maintained?

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

Is cyclic-boosting safe to use?

The python package cyclic-boosting 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 9 November-2024, at 09:37 (UTC).

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cyclic-boosting

Implementation of Cyclic Boosting machine learning algorithms For more information about how to use this package see README

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Package

Readme

cyclic-boosting

Documentation

Quickstart

Usage

cyclic-boosting dependencies

FAQs

What is cyclic-boosting?

Is cyclic-boosting popular?

Is cyclic-boosting well maintained?

Is cyclic-boosting safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

cyclic-boosting

Documentation

Quickstart

Usage

cyclic-boosting dependencies

FAQs

What is cyclic-boosting?

Is cyclic-boosting popular?

Is cyclic-boosting well maintained?

Is cyclic-boosting safe to use?

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Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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