What are architecture patterns for Core ML in Swift?

In this article, we explore various architecture patterns for implementing Core ML in Swift. These patterns help developers create clean, maintainable, and scalable machine learning applications.
Core ML, Swift, architecture patterns, machine learning, iOS development
// Example of using MVC pattern with Core ML in Swift import UIKit import CoreML class ModelViewController: UIViewController { var model: MyCoreMLModel! override func viewDidLoad() { super.viewDidLoad() // Load the Core ML model model = try? MyCoreMLModel(configuration: MLModelConfiguration()) } func predict(with inputData: InputData) { guard let prediction = try? model.prediction(input: inputData) else { print("Error making prediction") return } // Update the UI with prediction updateUI(with: prediction) } func updateUI(with prediction: OutputData) { // Handle UI updates based on the prediction } }

Core ML Swift architecture patterns machine learning iOS development

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