Training losses
MLJModelInterface.training_losses
— FunctionMLJModelInterface.training_losses(model::M, report)
If M
is an iterative model type which calculates training losses, implement this method to return an AbstractVector
of the losses in historical order. If the model calculates scores instead, then the sign of the scores should be reversed.
The following trait overload is also required: MLJModelInterface.supports_training_losses(::Type{<:M}) = true
.
Trait values can also be set using the metadata_model
method, see below.