Azure Machine Learning Workspaces
Azure Machine Learning Workspaces
Azure Machine Learning is a cloud service that you use to train, deploy, automate, and manage machine learning models, all at the broad scale that the cloud provides. Workspaces and Compute provides operations on Workspaces and Compute resources of Azure Machine Learning.Current Version: 1.0.0
Publisher: Toro Cloud
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What the API does:
- Creates or updates compute. This call will overwrite a compute if it exists. This is a nonrecoverable operation. If your intent is to create a new compute, do a GET first to verify that it does not exist yet.
- Deletes specified Machine Learning compute.
- Gets compute definition by its name. Any secrets (storage keys, service credentials, etc) are not returned - use 'keys' nested resource to get them.
- Gets computes in specified workspace.
- Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
- Gets the details (e.g IP address, port etc) of all the compute nodes in the compute.
- Updates properties of a compute. This call will overwrite a compute if it exists. This is a nonrecoverable operation.
Categories:
Compatibility:
Resources:
License:
TORO Master Subscription Agreement
API Specification: Swagger 2.x
Schema Source: TORO Docs to OpenAPI
Tags: infrastructure, Azure, machine learning
| Version | API Reference Version | Compatibility | Date added | Summary | |
|---|---|---|---|---|---|
| 1.0.0 | --- | --- | 2019-11-25 |
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