MLKit
A simple machine learning framework written in Swift, currently focusing on regression algorithms.
What is MLKit?
MLKit is a machine learning framework written in Swift designed to provide developers with a toolkit for creating products that learn from data. It aims to make implementing machine learning algorithms easier for iOS and tvOS developers while expanding to cover more advanced topics over time.
iOS and tvOS developers looking to integrate machine learning algorithms into their Swift applications, particularly those interested in regression, neural networks, clustering, and genetic algorithms.
Developers choose MLKit for its Swift-native implementation, which simplifies integrating machine learning into Apple ecosystem apps, and its growing set of algorithms including regression, neural networks, and genetic algorithms, all built on efficient numerical computation via the Upsurge framework.
Overview
A simple machine learning framework written in Swift 🤖
Use Cases
Best For
- Implementing regression algorithms like linear, polynomial, ridge, and lasso regression in Swift-based iOS/tvOS apps.
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