---
title: "scoped(to:)"
framework: coreml
role: symbol
role_heading: Instance Method
path: "coreml/mlparameterkey/scoped(to:)"
---

# scoped(to:)

Creates a copy of a parameter key and adds the scope to it.

## Declaration

```swift
func scoped(to scope: String) -> MLParameterKey
```

## Parameters

- `scope`: A scope that targets the key to an internal component of a model.

## Return Value

Return Value A new parameter key.

## Discussion

Discussion Use this method to target: A specific layer of a model A specific model within a pipeline model A specific layer of a model within a pipeline model For example, to target an MLParameterKey to a layer in a model, scope the key with the layer’s name. let weightsKey = MLParameterKey.weights

// Weights key scoped to the "FullyConnected" layer within a model. let fullyConnectedWeights = weightsKey.scoped(to: "FullyConnected")

// Prints "Key 1: FullyConnected.weights". print("Key 1: \(fullyConnectedWeights)") To target a model within a pipeline model, scope the MLParameterKey with the model’s name. // Number-of-neighbors key scoped to the first model in a pipeline model. let firstModelNumberOfNeighbors = MLParameterKey.numberOfNeighbors.scoped(to: "model0")

// Prints "Key 2: model0.numberOfNeighbors". print("Key 2: \(firstModelNumberOfNeighbors)") To target a layer of a model within a pipeline model, start with an MLParameterKey you’ve already scoped to the model, and add an additional scope with the layer’s name. let model1Biases = MLParameterKey.biases.scoped(to: "model1")

// Biases key scoped to the "FullyConnected" layer of the second model in a pipeline model. let secondModelFullyConnectedBiases = model1Biases.scoped(to: "FullyConnected")

// Prints "Key 3: model1.FullyConnected.biases". print("Key 3: \(secondModelFullyConnectedBiases)") By default, a pipeline model names its individual models in the pipeline as model0, model1, and so on.