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Random FAQ

What is the function of the 'maxParents' parameter?

The 'maxParents' parameter specifies the maximum number of parents for each node in the network. Its default value is 5, and it can range from 1 to 16.

See answer
On: bnet
What is the 'encode' parameter used for?

The 'encode' parameter, which has aliases 'encrypt' and 'hide', specifies that the prototype definitions should be encoded in the saved function table.

See answer
On: addPrototypes
Is it possible to use a validation dataset to prevent overfitting during training?

Yes, you can provide a validation dataset using the 'validTable' parameter. This allows for early stopping of the training process, which can be configured through the 'validate' subparameter of the 'nloOpts' option, based on the model's performance on this validation data.

See answer
On: annTrain
model.weights.computedVars.name (Required Parameter)

Specifies the name for the variable.

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On: IdentifySpeakers
ELASTIC

The server option to provide run-time grid expansion; requires 'keyfile' option

See answer
On: getServOpt
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