Aerosolve by Airbnb

Aerosolve is a machine learning library that is focused on being human-friendly. It's meant to be used with sparse features such as keywords, filters, search terms, pricing, etc. It differs from other popular ML libraries because of its thrift-based feature representation: All features are clustered in logical groups (families of features). This enables expressing transformations on an entire feature family or different families of features. By transforming these, a new feature family can be created.

Other features are:

  • An intuitive feature transform language
  • Debuggable models
  • Scala for training
  • A distinct separate lightweight Java inference code.

 

Details

Company Airbnb
Website http://airbnb.io/aerosolve/
Category Data Science
Subcategory ML Library
Availability Apache License 2.0
Earning Model Library
Ownership None
Stock None

Tags

Java ML Library model development Scala

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Data Science > ML Library

Made with 🔨 by Roel Peters.