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:
|Availability||Apache License 2.0|