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CoreML.Update
Updates a model.
| Component | Version | macOS | Windows | Linux | Server | iOS SDK |
| CoreML | 10.0 | ✅ Yes | ❌ No | ❌ No | ✅ Yes, on macOS | ✅ Yes |
MBS( "CoreML.Update"; InputPath; OutputPath; trainingData ) More
Parameters
| Parameter | Description | Example |
|---|---|---|
| InputPath | The input path to the model file. | "/test.mlmodelc" |
| OutputPath | The output path to the model file. | "/output.mlmodelc" |
| trainingData | The new training data as JSON array. |
Result
Returns OK or error.
Description
Updates a model.Update a machine learning model on a user’s device. Pass in path to existing model and path for new model.
Training data is a JSON array. Each entry is an object with the input and output keys. Each key has a value, either a number or text, array or image path. The image is defined with a native file path and format is automatically adjusted.
Look in CoreML.Description for the inputDescriptionsByName, outputDescriptionsByName and trainingInputDescriptionsByName. The constrains may tell you what image sizes to use.
Examples
Update a model:
MBS( "CoreML.Update"; "/Users/cs/Desktop/UpdatableDrawingClassifier.mlmodelc"; "/Users/cs/Desktop/UpdatableDrawingClassifier2.mlmodelc"; "[{\"drawing\": \"/Users/cs/Desktop/mbslogo.png\", \"label\": \"car\"}]" )
See also
Release notes
- Version 12.5
- Disabled debug logging left over in CoreML.Update function.
- Version 10.0
- Added CoreML.Update function.
Blog Entries
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FileMaker Magazin
This function checks for a license.
Created 16th December 2019, last changed 8th June 2020
