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Change which spaces trained models belong to

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Change which spaces trained models belong to

with Elastic Stack · Artificial Intelligence Management

Use Elastic Stack: its Elk Stack Ml API lets you change which spaces trained models belong to in a single step (POST /api/ml/saved_objects/update_trained_models_spaces). capabilities.work can help you get signed up and connected.

  • How do I make a trained model available in another Kibana space?
  • Can I remove a trained model from a space?
Say it to your AI assistant
  • Add these trained models to the listed spaces.
  • Remove these trained models from the given spaces.
For your developer

POST /api/ml/saved_objects/update_trained_models_spaces in Elk Stack Ml API. Full spec on APIs.io.

More you can do with Elastic Stack

Get ML memory usage across all nodesGet ML memory usage for one nodeGet machine learning defaults and limitsToggle ML upgrade modeSync ML saved objects in the default spaceChange which spaces ML jobs belong toClear a trained model deployment's inference cacheGet trained model configs by IDUpload a trained modelDelete an unreferenced trained modelCreate or reassign a trained model aliasDelete a trained model alias