{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"}],"enrichment":{"capability":"Provides autograd-compatible derivatives for incomplete gamma and beta functions, enabling automatic differentiation through special mathematical functions.","skillfed_tags":["autodiff","special-functions","abandoned"],"use_cases":["Computing gradients through incomplete gamma functions in Bayesian inference or statistical models","Optimizing parameters in distributions that depend on gamma or beta functions using gradient descent","Building automatic differentiation pipelines for scientific computing that require special function derivatives"],"what_it_does":"autograd-gamma extends the autograd automatic differentiation library with derivatives for incomplete gamma and beta functions\u2014special mathematical functions commonly used in statistics and scientific computing. It wraps approximations to these derivatives so you can compute gradients through them in optimization and machine learning workflows.\n\nThe package provides four gamma-family functions (gammainc, gammaincc, gammaincln, gammainccln) and two beta-family functions (betainc, betaincln), each differentiable with respect to specified arguments. It has no runtime dependencies and is designed as a lightweight bridge. However, the project has been inactive since 2020-10-15 and is no longer maintained.","worth_installing":"No, unless you have a specific legacy dependency. The package is abandoned with last commit 2020-10-15 and no maintenance signal. High install friction and uncertain compatibility with current autograd and Python versions make it a poor choice for new projects."},"id":"autograd-gamma","links":{"html":"https://skillfed.io/packages/autograd-gamma","md":"https://skillfed.io/packages/autograd-gamma.md","pypi":"https://pypi.org/project/autograd-gamma/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2020-10-15","license_spdx":null,"license_treatment":"permissive","name":"autograd-gamma","python_support":"unspecified","summary":"Autograd compatible approximations to the gamma family of functions"},"popularity":{"monthly_downloads":1923840,"position":3427,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.5.0"}