Core ML
App Services
- Category
- Apple frameworks
- Docs outline
- 12 sections
Official docs outline
developer.apple.com- Core ML models
Covers Getting a Core ML Model, Updating a Model File to a Model Package, Integrating a Core ML Model into Your App, MLModel.
- Model inputs and outputs
Covers Making Predictions with a Sequence of Inputs, MLFeatureValue, MLSendableFeatureValue, MLFeatureProvider.
- App integration
Covers Downloading and Compiling a Model on the User’s Device, Model Integration Samples.
- Model encryption
Covers Generating a Model Encryption Key, Encrypting a Model in Your App.
- Compute devices
Covers MLComputeDevice, MLCPUComputeDevice, MLGPUComputeDevice, MLNeuralEngineComputeDevice.
- Compute plan
Covers MLComputePlan, MLModelStructure, MLComputePolicy, withMLTensorComputePolicy(_:_:).
- Model state
Covers MLState, MLStateConstraint.
- Model tensor
Covers MLTensor, MLTensorScalar, MLTensorRangeExpression, pointwiseMin(_:_:).
- Model structure
Covers MLModelStructure.
- Model errors
Covers MLModelError, MLModelError.Code, MLModelErrorDomain.
- Model deployments
Covers MLModelCollection.
- Optimization
Covers Analyzing a Core ML model’s performance in Xcode.
Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.