A library of cross-platform, cross-framework, cross-programming language featurizers (operations in a data processing pipeline) that can be used during Machine Learning training and prediction activities.
This makes it difficult to set include paths in the consuming projects.
It also leads to unqualified includes if the header being included is in the root library directory such as Archive.h. This may lead to conflicts for the consuming projects.