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Top level commands
Philipp Kranen edited this page Jan 20, 2016
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The main top-level command train
and eval
/test
are described on the Train, Eval, Test page. Further top-level commands are detailed below.
This command adapts an already trained model using KL divergence regularization. It is advised that all other adaptations should be carried out using [MEL](Model Editing Language (MEL)). The adapt command is very similar to the train command except that it carries two more parameters:
-
originalModelFileName
: the file name of the model that will be adapted. -
refNodeName
: the name of the node in the computational network which will be used for KL divergence regularization.