# Cross validation using PopulationBasedTraining

**URL:** <https://discuss.ray.io/t/cross-validation-using-populationbasedtraining/3416>\
**Category:** Ray Tune\
**Created:** [September 1, 2021, 8:53am UTC](https://discuss.ray.io/t/cross-validation-using-populationbasedtraining/3416 "2021-09-01T08:53:39Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Zahra\_Taheri](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/zahra_taheri/32/1464_2.png) [@Zahra\_Taheri](https://discuss.ray.io/u/Zahra_Taheri)\
**Post date:** [September 1, 2021, 8:53am UTC](https://discuss.ray.io/t/cross-validation-using-populationbasedtraining/3416/1 "2021-09-01T08:53:39Z")

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Hi. I am using a k-fold cross-validation approach to optimize the hyperparameters of a neural network with Pytorch and Ray Tune.  
Is it possible to use PopulationBasedTraining in this case?