YCML
A machine learning and optimization framework for Objective-C and Swift, focused on regression and multi-objective evolutionary algorithms.
What is YCML?
YCML is a machine learning and optimization framework designed for Objective-C and Swift developers targeting macOS and iOS applications. It provides implementations of supervised learning algorithms like neural networks and support vector machines, as well as multi-objective evolutionary algorithms for optimization problems. The framework focuses on regression tasks but can also handle classification with adjustments.
iOS and macOS developers who need to integrate machine learning or optimization capabilities directly into their Objective-C or Swift applications, particularly those working on regression, predictive modeling, or multi-objective design problems.
Developers choose YCML for its performance-optimized implementations of published algorithms, seamless integration with the Apple ecosystem, and comprehensive toolset for model validation and export, all while maintaining a scientific and minimalistic approach to AI.
Overview
A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)
Use Cases
Best For
- Building regression models for stock market or property price forecasting in iOS apps
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