`trainingOptions` — Create a training options compatibility object.

trainingOptions(solver) creates host metadata for common Deep Learning Toolbox training configuration.

Syntax

opts = trainingOptions(solver)
opts = trainingOptions(solver, Name, Value)

solver accepts sgdm, adam, or rmsprop.
Common options such as MaxEpochs, MiniBatchSize, InitialLearnRate, Shuffle, Verbose, Plots, and ExecutionEnvironment are stored as properties.
trainNetwork and trainnet consume sgdm and adam options for the supported in-memory feed-forward training slice.
rmsprop options are accepted as metadata, but RMSProp execution is not implemented yet and raises an explicit training error.

Training option construction is host metadata work and has no provider kernel.

opts = trainingOptions('adam', 'MaxEpochs', 5, 'Verbose', false)

Expected output:

Training options compatibility object.

Open a RunMat example with live inputs, then ask the agent to explain how trainingOptions changes the result.

Run a small trainingOptions example, explain the result, then change one input and compare the output.

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