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# update(_:with:eventHandler:)

Updates a model with a new sequence of examples.

```
func update(_ model: inout MultivariateLinearRegressor<Scalar>.Model, with input: some Sequence<AnnotatedFeature<MLShapedArray<Scalar>, MLShapedArray<Scalar>>>, eventHandler: EventHandler? = nil) async throws
```

## Parameters

`model`

A model to update.

`input`

A sequence of examples. For faster updates, consider passing a single [`AnnotatedBatch`](/documentation/CreateMLComponents/AnnotatedBatch) with
shaped arrays that contain multiple training examples. For example instead of passing a sequence of `N`
shaped arrays with shape `[M]`, pass a single shaped array with shape `[N, M]`. See also
[`update(_:with:)`](/documentation/CreateMLComponents/MultivariateLinearRegressor/update(_:with:)).

`eventHandler`

An event handler. This method reports the mean squared error.

---

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