How can I continue training a fitrnet network?

I am training a regression neural network using Matlab's fitrnet function. I want to know whether there is a way to continue training a fitrnet network after it has completed? If I train a neural network using Matlab's trainNetwork function then to continue training all I need to do is use the previously trained network's layers as the layer argument (ex. trainNetwork(inputData, outputData, old_net.Layers, opts) ). Is there a way to do something similar with fitrnet? I find fitrnet works a lot better for my application that trainNetwork

Answer 1

[Sahil Jain]

As of R2021b, the "fitrnet" function does not support loading weights and biases before training. As a workaround, you can modify the training options for "trainNetwork" to achieve results similar to "fitrnet".