<!--
{
  "availability" : [
    "iOS: 17.0.0 -",
    "iPadOS: 17.0.0 -",
    "macCatalyst: 17.0.0 -",
    "macOS: 14.0.0 -",
    "tvOS: 17.0.0 -",
    "visionOS: 1.0.0 -"
  ],
  "documentType" : "symbol",
  "framework" : "CreateMLComponents",
  "identifier" : "/documentation/CreateMLComponents/FullyConnectedNetworkMultiLabelClassifierModel/updatePrecisionRecallCurves(_:)",
  "metadataVersion" : "0.1.0",
  "role" : "Instance Method",
  "symbol" : {
    "kind" : "Instance Method",
    "modules" : [
      "Create ML Components"
    ],
    "preciseIdentifier" : "s:18CreateMLComponents46FullyConnectedNetworkMultiLabelClassifierModelV27updatePrecisionRecallCurvesyyqd__YaKSlRd__AA16AnnotatedFeatureVy6CoreML13MLShapedArrayVyxGShyq_GG7ElementRtd__lF"
  },
  "title" : "updatePrecisionRecallCurves(_:)"
}
-->

# updatePrecisionRecallCurves(_:)

Updates the per-label precision-recall curve using the input data.

```
mutating func updatePrecisionRecallCurves(_ input: some Collection<AnnotatedFeature<MLShapedArray<Scalar>, Set<Label>>>) async throws
```

## Parameters

`input`

A collection of annotated examples.

## Discussion

Call this method before exporting to a Core ML Model and using Vision `VNCoreMLRequest` to make predictions.

---

Copyright &copy; 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)