Uses of Class
com.azure.search.documents.indexes.models.AzureMachineLearningParameters
Packages that use AzureMachineLearningParameters
Package
Description
Package containing the data models for SearchServiceClient.
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Uses of AzureMachineLearningParameters in com.azure.search.documents.indexes.models
Classes in com.azure.search.documents.indexes.models that implement interfaces with type arguments of type AzureMachineLearningParametersModifier and TypeClassDescriptionfinal classSpecifies the properties for connecting to an AML vectorizer.Methods in com.azure.search.documents.indexes.models that return AzureMachineLearningParametersModifier and TypeMethodDescriptionAzureMachineLearningParameters.fromJson(com.azure.json.JsonReader jsonReader) Reads an instance of AzureMachineLearningParameters from the JsonReader.AzureMachineLearningVectorizer.getAMLParameters()Get the aMLParameters property: Specifies the properties of the AML vectorizer.AzureMachineLearningParameters.setAuthenticationKey(String authenticationKey) Set the authenticationKey property: (Required for key authentication) The key for the AML service.AzureMachineLearningParameters.setModelName(AIFoundryModelCatalogName modelName) Set the modelName property: The name of the embedding model from the Azure AI Foundry Catalog that is deployed at the provided endpoint.Set the region property: (Optional for token authentication).AzureMachineLearningParameters.setResourceId(String resourceId) Set the resourceId property: (Required for token authentication).AzureMachineLearningParameters.setTimeout(Duration timeout) Set the timeout property: (Optional) When specified, indicates the timeout for the http client making the API call.Methods in com.azure.search.documents.indexes.models with parameters of type AzureMachineLearningParametersModifier and TypeMethodDescriptionAzureMachineLearningVectorizer.setAMLParameters(AzureMachineLearningParameters aMLParameters) Set the aMLParameters property: Specifies the properties of the AML vectorizer.