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# FullyConnectedNetworkRegressor

A regressor that uses a fully connected network.

```
struct FullyConnectedNetworkRegressor<Scalar> where Scalar : MLShapedArrayScalar, Scalar : BinaryFloatingPoint
```

## Topics

### Creating the regressor

[`init(configuration:)`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/init(configuration:))

Creates a fully connected network regressor.

### Getting the configuration

[`configuration`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/configuration)

The fully-connected-network configuration.

### Decoding a regressor

[`decode(from:)`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/decode(from:))

Decodes the estimator.

### Fitting a regressor

[`fitted(to:eventHandler:)`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/fitted(to:eventHandler:))

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

[`fitted(to:validateOn:eventHandler:)`](/documentation/CreateMLComponents/FullyConnectedNetworkRegressor/fitted(to:validateOn:eventHandler:))

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

[`Transformer`](/documentation/CreateMLComponents/Transformer)

A transformer that takes an input and produces an output.

## Relationships

### Conforms To

[`Copyable`](/documentation/Swift/Copyable)

[`Sendable`](/documentation/Swift/Sendable)

[`UpdatableSupervisedEstimator`](/documentation/CreateMLComponents/UpdatableSupervisedEstimator)

[`SupervisedEstimator`](/documentation/CreateMLComponents/SupervisedEstimator)

[`Escapable`](/documentation/Swift/Escapable)

[`SendableMetatype`](/documentation/Swift/SendableMetatype)

---

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