A machine learning library designed from the ground up to be human friendly. It is different from other machine learning libraries in the following ways: - A thrift based feature representation that enables pairwise ranking loss and single context multiple item representation. - A feature transform language gives the user a lot of control over the features - Human friendly debuggable models - Separate lightweight Java inference code - Scala code for training - Simple image content analysis code suitable for ordering or ranking images
Tech tags:
In productions with: