---
title: "fitted(to:validateOn:eventHandler:)"
framework: createmlcomponents
role: symbol
role_heading: Instance Method
path: "createmlcomponents/fullyconnectednetworkregressor/fitted(to:validateon:eventhandler:)"
---

# fitted(to:validateOn:eventHandler:)

Fits a fully connected network regressor model to a sequence of examples.

## Declaration

```swift
func fitted<Input, Validation>(to input: Input, validateOn validation: Validation, eventHandler: EventHandler? = nil) async throws -> FullyConnectedNetworkRegressorModel<Scalar> where Input : Sequence, Validation : Sequence, Input.Element == AnnotatedFeature<MLShapedArray<Scalar>, Float>, Validation.Element == AnnotatedFeature<MLShapedArray<Scalar>, Float>
```

## Parameters

- `input`: A sequence of examples used for fitting the regressor.
- `validation`: A sequence of examples used for validating the fitted regressor.
- `eventHandler`: An event handler.

## Return Value

Return Value The fitted fully connected network regressor model.

## Discussion

Discussion The training process partitions the input into random batches according to the batch size configuration parameter. Training stops when the validation loss stops improving or when the maximum number of iterations is reached.

## See Also

### Fitting a regressor

- [fitted(to:eventHandler:)](createmlcomponents/fullyconnectednetworkregressor/fitted(to:eventhandler:).md)
- [Transformer](createmlcomponents/transformer.md)