ValidationSet

ValidationSet

is an option for Predict, Classify, NetTrain, and related functions that specifies the validation set to be used during the training phase.

Details

  • With ValidationSetdata, model and hyperparameter selections are done by testing performance on data. data can be given in any format allowed for the training set.
  • With ValidationSetAutomatic, cross-validation methods on the original data supplied to Predict, Classify, etc. will be used instead.
  • ValidationSetdata is typically used when the data in the training set and the data that one wishes to predict or classify come from different sources.

Examples

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Basic Examples  (2)

Train a classifier:

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The automatically selected validation set yielded a 1-neighbor classifier:

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Specify the validation set explicitly:

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The explicit validation set yields a 2-neighbor classifier:

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Train a predictor with a specified validation set:

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Obtain the L2 regularization coefficient of the trained predictor:

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Train a predictor without a specified validation set:

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A different L2 regularization coefficient has been selected:

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Applications  (1)

See Also

Classify  Predict  NetTrain

Introduced in 2014
(10.0)