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conda-forge.org : pyepal

Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.

Registry - Source - JSON
purl: pkg:conda/pyepal
Keywords: active-learning, hacktoberfest, machine-learning, multiobjective, pareto, python
License: Apache-2.0
Latest release: over 3 years ago
First release: over 3 years ago
Stars: 29 on GitHub
Forks: 3 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 21 days ago

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