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R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

The eval.metric and eval.data parameters

These two parameters control what data and which metric are used to evaluate the model. eval.metric is equivalent to the cost function we used in our code. eval.data is used if you want to evaluate the model on a holdout dataset that is not used in training.

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Publisher Resources

ISBN: 9781788992893Supplemental Content