---
title: MLHandPoseClassifier.ModelParameters.ValidationData.none
framework: createml
role: symbol
role_heading: Case
path: createml/mlhandposeclassifier/modelparameters-swift.struct/validationdata/none
---

# MLHandPoseClassifier.ModelParameters.ValidationData.none

Creates an empty validation dataset, which tells the task to skip the model validation phase in a training session.

## Declaration

```swift
case none
```

## Discussion

Discussion This case prevents Create ML from creating a validation dataset from your training dataset. You typically use it when your training dataset is small and can’t spare any data to validate the model.

## See Also

### Designating validation data

- [MLHandPoseClassifier.ModelParameters.ValidationData.dataSource(_:)](createml/mlhandposeclassifier/modelparameters-swift.struct/validationdata/datasource(_:).md)
- [MLHandPoseClassifier.ModelParameters.ValidationData.split(strategy:)](createml/mlhandposeclassifier/modelparameters-swift.struct/validationdata/split(strategy:).md)