Table of Contents

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  1. Preface
  2. Informatica Intelligent Cloud Services REST API
  3. Platform REST API version 2 resources
  4. Platform REST API version 3 resources
  5. Data Integration REST API
  6. Mass Ingestion Files REST API
  7. Mass Ingestion Streaming REST API
  8. Model Serve REST API
  9. RunAJob utility
  10. ParamSetCli utility
  11. REST API codes
  12. REST API resource quick references

REST API Reference

REST API Reference

Deleting an asset

Deleting an asset

Use the Documents resource to delete a user-defined machine learning model or a model deployment.

DELETE request

To delete an asset, include the asset ID in the URI. Use the following URI:
/frs/v1/Documents('<ID>')
Get the ID of a machine learning model from the response to register or edit a machine learning model. Get the ID of a model deployment from the response to create or monitor a model deployment.
You can't delete a model deployment while it's running, and you can't delete a machine learning model if a running model deployment uses it. To delete a model deployment, stop the deployment before you send a request to delete it. To delete a machine learning model, stop all deployments that use the model before you send a request to delete the model.

DELETE response

Returns a success message.

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