The training worker (
TrainingWorker) is a deferred worker that starts the training of a machine learning model. The training worker does not perform the actual training - it calls the
TrainAsync() method on the supplied model wrapper, which in turn defines the training logic.
For example, you might send a request to Microsoft Machine Learning Server that includes a training script and the location of training data in temporary storage.
To use the training worker, register a training worker task.
Training worker options dictionaries
A training worker task requires an implementation of
Sitecore.Processing.Engine.ML.Abstractions.IModel. This interface defines:
The model training logic (defined by the
The data projection associated with the model, which is not used by the training worker.
The model evaluation logic (defined by
EvaluateAsync()method), which is not used by the training worker.
IModel is required even if you are using projection outside of a machine learning context. If you do not require the training or evaluation methods that are included in this interface, you can return empty results.
When you register a training worker task, you must pass in an implementation of the
IModelimplementation has a
The training worker calls the
TrainAsync()method on the
Integrate with Machine Learning Server / Script Session Pool