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datacache Module

  • Reference

Contains functionality for managing DatacacheStore and Datacache in Azure Machine Learning.

Classes

DatacacheHydrationTracker

Note

This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.

DatacacheHydrationTracker is used to keep track of the hydration job.

It can be used to wait on the the completion of the hydration process before consuming the datacache in the training job.

Create the datacache hydration tracker object.
DatacacheStore

Note

This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.

Represents a storage abstraction over an Azure Machine Learning storage account.

DatacacheStores are attached to workspaces and are used to store information related to the underlying datacache solution. Currently, only partitioned blob solution is supported. Datacachestores defines various Blob datastores that could be used for caching.

Use this class to perform management operations, including register, list, get, and update datacachestores. DatacacheStores for each service are created with the register* methods of this class.

Get a datacachestore by name. This call will make a request to the datacache service.