AGNOSTIC MACHINE LEARNING TRAINING INTEGRATIONS

A computer-implemented method for ML platform-agnostic machine learning (ML) training, the method comprising: providing a set of adapters to map an ML platform agnostic format to a plurality of ML platform specific formats; receiving, at a labeling platform, a use case associated with a use case type, the use case comprising configuration information for an ML model, the configuration information formatted according to the ML platform agnostic format; using an adapter, from the set of adapters, that corresponds to the selected ML platform, mapping the configuration information from the ML platform agnostic format to an ML platform specific format of the selected ML platform; and training the ML model using the selected ML platform and a set of training data.