MachineLearningTable Class
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
MLTable data definition.
public class MachineLearningTable : Azure.ResourceManager.MachineLearning.Models.MachineLearningDataVersionProperties
type MachineLearningTable = class
inherit MachineLearningDataVersionProperties
Public Class MachineLearningTable
Inherits MachineLearningDataVersionProperties
- Inheritance
-
MachineLearningTable
Constructors
MachineLearningTable(Uri) |
Initializes a new instance of MachineLearningTable. |
Properties
AutoDeleteSetting |
Specifies the lifecycle setting of managed data asset. (Inherited from MachineLearningAssetBase) |
DataUri |
[Required] Uri of the data. Example: https://go.microsoft.com/fwlink/?linkid=2202330. (Inherited from MachineLearningDataVersionProperties) |
Description |
The asset description text. (Inherited from MachineLearningResourceBase) |
IntellectualProperty |
Intellectual Property details. Used if data is an Intellectual Property. (Inherited from MachineLearningDataVersionProperties) |
IsAnonymous |
If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous. (Inherited from MachineLearningAssetBase) |
IsArchived |
Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived. (Inherited from MachineLearningAssetBase) |
Properties |
The asset property dictionary. (Inherited from MachineLearningResourceBase) |
ReferencedUris |
Uris referenced in the MLTable definition (required for lineage). |
Stage |
Stage in the data lifecycle assigned to this data asset. (Inherited from MachineLearningDataVersionProperties) |
Tags |
Tag dictionary. Tags can be added, removed, and updated. (Inherited from MachineLearningResourceBase) |
Applies to
Azure SDK for .NET
Feedback
https://aka.ms/ContentUserFeedback.
Coming soon: Throughout 2024 we will be phasing out GitHub Issues as the feedback mechanism for content and replacing it with a new feedback system. For more information see:Submit and view feedback for