AzureMachineLearningSkill Class

Definition

Namespace:

Azure.Search.Documents.Indexes.Models

Assembly:

Azure.Search.Documents.dll

Package:

Azure.Search.Documents v11.7.0-beta.1

Source:

AzureMachineLearningSkill.cs

The AML skill allows you to extend AI enrichment with a custom Azure Machine Learning (AML) model. Once an AML model is trained and deployed, an AML skill integrates it into AI enrichment.

public class AzureMachineLearningSkill : Azure.Search.Documents.Indexes.Models.SearchIndexerSkill

type AzureMachineLearningSkill = class
    inherit SearchIndexerSkill

Public Class AzureMachineLearningSkill
Inherits SearchIndexerSkill

Inheritance

Object

SearchIndexerSkill

AzureMachineLearningSkill

Constructors

AzureMachineLearningSkill(IEnumerable<InputFieldMappingEntry>, IEnumerable<OutputFieldMappingEntry>, ResourceIdentifier, Nullable<AzureLocation>)	Initializes a new instance of the AzureMachineLearningSkill class.
AzureMachineLearningSkill(IEnumerable<InputFieldMappingEntry>, IEnumerable<OutputFieldMappingEntry>, Uri, String)	Initializes a new instance of the AzureMachineLearningSkill class.

Properties

AuthenticationKey	The key for the Azure Machine Learning service. This is required for key-based authentication.
Context	Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. (Inherited from SearchIndexerSkill)
DegreeOfParallelism	(Optional) When specified, indicates the number of calls the indexer will make in parallel to the endpoint you have provided. You can decrease this value if your endpoint is failing under too high of a request load, or raise it if your endpoint is able to accept more requests and you would like an increase in the performance of the indexer. If not set, a default value of 5 is used. The degreeOfParallelism can be set to a maximum of 10 and a minimum of 1.
Description	The description of the skill which describes the inputs, outputs, and usage of the skill. (Inherited from SearchIndexerSkill)
Inputs	Inputs of the skills could be a column in the source data set, or the output of an upstream skill. (Inherited from SearchIndexerSkill)
Location	The region the Azure Machine Learning service is deployed in. This is optional for token-based authentication.
Name	The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array prefaced with the character "#" in debug sessions and error messages. (Inherited from SearchIndexerSkill)
Outputs	The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. (Inherited from SearchIndexerSkill)
ResourceId	The Azure Resource Manager resource ID of the Azure Machine Learning service. This is required for token-based authentication. It should be in the format "subscriptions/{guid}/resourceGroups/{resource-group-name}/Microsoft.MachineLearningServices/workspaces/{workspace-name}/services/{service_name}".
ScoringUri	The scoring URI of the Azure Machine Learning service to which the JSON payload will be sent. This is required when using no authentication or key-based authentication. Only the https URI scheme is allowed.
Timeout	(Optional) When specified, indicates the timeout for the http client making the API call.