Empulse is a Python package that integrates with scikit-learn to provide cost-sensitive and value-driven machine learning tools. It offers custom metrics, profit-driven models, and utilities for handling imbalanced datasets, aimed at data scientists and ML practitioners.
Empulse sits in PulseGate's Data science & ML workbench category. It focuses on enabling cost-sensitive and value-driven analysis in machine learning workflows for imbalanced data. It is built as an open-source project for data scientists. Empulse is open source under the Open Source license. It runs on the web and the command line.
Empulse first shipped in 2023. Development happens publicly on GitHub with 33 stars and 127 commits in the last 90 days. Key capabilities include cost-sensitive metrics, profit-driven models, and scikit-learn integration.
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