.FastAILearningTask

			abstract type LearningTask

Represents a concrete approach for solving a learning task.

A LearningTask defines how data is processed encoded and decoded before and after going through a model.

Extending

It is recommended to use AbstractBlockTasks like BlockTask and SupervisedTask to construct tasks, but you may subtype LearningTask for lower-level control.

There is a core interface that will allow you to train models and perform inference (for supervised tasks). It consists of

• encodesample

• encodeinput

• decodeypred

You can optionally implement additional interfaces to get support for higher-level features of the library.

• Training interface: tasklossfn, taskmodel

• Testing interface: mocksample, mockinput, mocktarget, mockmodel

• Batching: shouldbatch