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

# fitted(to:eventHandler:)

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

## Declaration

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

## Parameters

- `input`: A sequence of examples used for fitting the classifier.
- `eventHandler`: An event handler.

## Return Value

Return Value The fitted fully connected network classifier model.

## Discussion

Discussion The training process partitions the input into random batches according to the batch size configuration parameter. Training stops when the maximum number of iterations is reached. note: This method does not do early-stopping, using a high value for maximumIterations may lead to over-fitting. Consider providing a validation set.

## See Also

### Fitting a classifier

- [fitted(to:validateOn:eventHandler:)](createmlcomponents/fullyconnectednetworkclassifier/fitted(to:validateon:eventhandler:).md)
- [FullyConnectedNetworkClassifier.Annotation](createmlcomponents/fullyconnectednetworkclassifier/annotation.md)
- [FullyConnectedNetworkClassifier.Transformer](createmlcomponents/fullyconnectednetworkclassifier/transformer.md)