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:

Obtain the L2 regularization coefficient of the classifier:

Specify the validation set explicitly:

A different L2 regularization coefficient has been selected:

Train a predictor with a specified validation set:

Obtain the L2 regularization coefficient of the trained predictor:

Train a predictor without a specified validation set:

A different L2 regularization coefficient has been selected:

Applications  (1)

Load handwritten digits from the MNIST dataset:

Construct a set of digits from your own writing:

Train a classifier that uses the MNIST digits for training and your own digits for validating models and hyperparameters:

Wolfram Research (2014), ValidationSet, Wolfram Language function, https://reference.wolfram.com/language/ref/ValidationSet.html.

Text

Wolfram Research (2014), ValidationSet, Wolfram Language function, https://reference.wolfram.com/language/ref/ValidationSet.html.

CMS

Wolfram Language. 2014. "ValidationSet." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/ValidationSet.html.

APA

Wolfram Language. (2014). ValidationSet. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ValidationSet.html

BibTeX

@misc{reference.wolfram_2025_validationset, author="Wolfram Research", title="{ValidationSet}", year="2014", howpublished="\url{https://reference.wolfram.com/language/ref/ValidationSet.html}", note=[Accessed: 30-June-2025 ]}

BibLaTeX

@online{reference.wolfram_2025_validationset, organization={Wolfram Research}, title={ValidationSet}, year={2014}, url={https://reference.wolfram.com/language/ref/ValidationSet.html}, note=[Accessed: 30-June-2025 ]}