How does the annTrain action handle missing values in the training data?

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Réponse

You can control missing value imputation using the 'missing' parameter for input variables and 'targetMissing' for the target variable. Options include 'MEAN', 'MAX', or 'MIN' to replace missing values with the mean, maximum, or minimum value of the variable. If set to 'NONE' (the default for interval variables), observations with missing values are ignored. For nominal variables, a new category is created for missing values by default.

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annTrain

neuralNet

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Other questions about annTrain

Which optimization algorithms are available for training the network? What activation functions can be used for the hidden and target layers? What types of network architectures can be trained using the annTrain action? How can I define the structure of the hidden layers in my neural network? What is the primary purpose of the annTrain action in SAS Viya?

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