KFoldCrossValidation (Deep Netts Core Pro 3.0.0 API)

```
public class KFoldCrossValidation
extends Object
```
Split data set into k parts of equal sizes (folds), then train model with k-1 folds, and validate with remaining 1 fold. Repeat that k times each with different validation fold. Commonly used technique to estimate generalization ability of the model.

Nested Classes
Modifier and Type	Class and Description
`static class`	`KFoldCrossValidation.Builder` Builder object for KFoldCrossValidation.

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static KFoldCrossValidation.Builder`	`builder()`
`NeuralNetwork`	`getBestNetwork()`
`javax.visrec.ml.eval.EvaluationMetrics`	`getBestResult()`
`javax.visrec.ml.eval.EvaluationMetrics`	`getMacroAverage()`
`TrainingListener`	`getTrainingListener()`
`List<TrainingResult>`	`getTrainingResults()`
`void`	`run()`

public static KFoldCrossValidation.Builder builder()

public javax.visrec.ml.eval.EvaluationMetrics getBestResult()

public javax.visrec.ml.eval.EvaluationMetrics getMacroAverage()

public List<TrainingResult> getTrainingResults()

public TrainingListener getTrainingListener()

Class KFoldCrossValidation