predictionConfiguration
Generated on 8/30/2024
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The "predictionConfiguration" seems to relate to the configuration of prediction models, particularly in the context of machine learning. At WWDC 2024, Apple introduced several updates and tools related to machine learning, particularly in the sessions "What’s new in Create ML" and "Deploy machine learning and AI models on-device with Core ML."
In the session "What’s new in Create ML," there is a focus on time series forecasting, which involves configuring models to predict future values based on historical data. This includes setting up input and forecast window sizes and using the fitted method for training. You can find more about this in the What’s new in Create ML session at 06:07.
Additionally, the session "Deploy machine learning and AI models on-device with Core ML" discusses performance tools and profiling, which are crucial for optimizing prediction configurations. This includes generating performance reports to analyze load and prediction times, which can help in identifying bottlenecks and improving model efficiency. More details can be found in the Deploy machine learning and AI models on-device with Core ML session at 15:27.
Relevant Sessions
Deploy machine learning and AI models on-device with Core ML
Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.
What’s new in Create ML
Explore updates to Create ML, including interactive data source previews and a new template for building object tracking models for visionOS apps. We’ll also cover important framework improvements, including new time-series forecasting and classification APIs.
Create enhanced spatial computing experiences with ARKit
Learn how to create captivating immersive experiences with ARKit’s latest features. Explore ways to use room tracking and object tracking to further engage with your surroundings. We’ll also share how your app can react to changes in your environment’s lighting on this platform. Discover improvements in hand tracking and plane detection which can make your spatial experiences more intuitive.