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26 lines (26 loc) · 918 Bytes
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cff-version: 1.2.0
message: "If you use mlquantify in your research, please cite it as below."
title: "mlquantify: A Python Package for Quantification"
abstract: >-
mlquantify is a Python library for quantification (supervised prevalence
estimation). It provides a broad set of quantification methods, model
selection and evaluation protocols, calibration, and confidence-region
tools, all exposed through a scikit-learn-compatible API.
type: software
authors:
- given-names: "Luiz Fernando"
family-names: "Luth Junior"
email: luizfernandoluth@gmail.com
- given-names: "André Gustavo"
family-names: "Maletzke"
version: "0.4.0"
license: BSD-3-Clause
repository-code: "https://github.com/luizfernandolj/mlquantify"
url: "https://luizfernandolj.github.io/mlquantify/"
keywords:
- quantification
- prevalence estimation
- supervised learning
- machine learning
- scikit-learn
- python