What optimization algorithms can be used for training with the crfTrain action?

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Réponse

You can specify the optimization solver using the 'algorithm' subparameter within 'nloOpts'. The available options are: 'LBFGS' (limited-memory Broyden-Fletcher-Goldfarb-Shanno), 'SGD' (stochastic gradient descent), 'ADAM' (adaptive moments variant of SGD), and 'HF' (Hessian free, which is experimental).

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crfTrain

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Other questions about crfTrain

What are the required parameters for the crfTrain action? What does the 'model' parameter specify? What is the purpose of the crfTrain action? What is the function of the 'target' parameter? How can I apply regularization during model training?

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