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Aerosolve is an open-source machine learning library developed by Airbnb, designed for interpretable and human-friendly modeling. Built around sparse, human-intuitive features (like geography, pricing), it supports feature quantization, interaction specification, and rule-based priors—enabling domain experts to contribute directly to model behavior.
Features
- Interpretable sparse feature support (geo, price, categorical)
- Feature quantization and interaction control for better modeling
- Domain-informed priors and rule-based feature engineering
- Supports logistic, regression, ranking, and multiclass models
- Easy-to-read model configuration via human-centric DSL or YAML
- Suitable for search ranking, dynamic pricing, and transparent recommendations
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow Aerosolve
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