Does create ml support text sentiment classification?
Generated on 3/6/2025
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Based on the provided context, there is no mention of Create ML supporting text sentiment classification. The sessions primarily discuss enhancements in object tracking, time series classification, and forecasting, as well as other machine learning capabilities on Apple platforms. If you are interested in learning more about Create ML's capabilities, you might want to check out the session What’s new in Create ML for an overview of its features.
Platforms State of the Union
Discover the newest advancements on Apple platforms.
Enhanced suggestions for your journaling app
Find out how your journaling app can display journaling suggestions with richer content from the system. Explore new types of available content like state of mind data, reflection prompts, and support for third-party media content and motion-based activities.
What’s new in AppKit
Discover the latest advances in Mac app development. Get an overview of the new features in macOS Sequoia, and how to adopt them in your app. Explore new ways to integrate your existing code with SwiftUI. Learn about the improvements made to numerous AppKit controls, like toolbars, menus, text input, and more.
Explore machine learning on Apple platforms
Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.
Explore wellbeing APIs in HealthKit
Learn how to incorporate mental health and wellbeing into your app using HealthKit. There are new APIs for State of Mind, as well as for Depression Risk and Anxiety Risk. We’ll dive into principles of emotion science to cover how reflecting on feelings can be beneficial, and how State of Mind can be used to represent different types of mood and emotion.
Bring your machine learning and AI models to Apple silicon
Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.
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.