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# fitted(to:eventHandler:)

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

```
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

The fitted fully connected network classifier model.

## 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.

---

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