AzureAIProjectsModelFactory.AIProjectDataset Method
Definition
Important
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DatasetVersion Definition Please note this is the abstract base class. The derived classes available for instantiation are: FileDataset and FolderDataset.
public static Azure.AI.Projects.AIProjectDataset AIProjectDataset(Uri dataUri = default, string type = default, bool? isReference = default, string connectionName = default, string id = default, string name = default, string version = default, string description = default, System.Collections.Generic.IDictionary<string,string> tags = default);static member AIProjectDataset : Uri * string * Nullable<bool> * string * string * string * string * string * System.Collections.Generic.IDictionary<string, string> -> Azure.AI.Projects.AIProjectDatasetPublic Shared Function AIProjectDataset (Optional dataUri As Uri = Nothing, Optional type As String = Nothing, Optional isReference As Nullable(Of Boolean) = Nothing, Optional connectionName As String = Nothing, Optional id As String = Nothing, Optional name As String = Nothing, Optional version As String = Nothing, Optional description As String = Nothing, Optional tags As IDictionary(Of String, String) = Nothing) As AIProjectDatasetParameters
- type
- String
Dataset type.
Indicates if the dataset holds a reference to the storage, or the dataset manages storage itself. If true, the underlying data will not be deleted when the dataset version is deleted.
- connectionName
- String
The Azure Storage Account connection name. Required if startPendingUploadVersion was not called before creating the Dataset.
- id
- String
Asset ID, a unique identifier for the asset.
- name
- String
The name of the resource.
- version
- String
The version of the resource.
- description
- String
The asset description text.
- tags
- IDictionary<String,String>
Tag dictionary. Tags can be added, removed, and updated.
Returns
A new AIProjectDataset instance for mocking.
