Add sample for creating an analyzer with labeled training data and associated test data #54337
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…sociated test data - Added a new image file and its corresponding labels and result JSON files for testing. - Implemented Sample16_CreateAnalyzerWithLabels.cs to demonstrate how to create an analyzer using labeled data. - Included logic for uploading training data to Azure Blob Storage and defining a field schema for receipt extraction. - Added assertions to validate the properties of the created analyzer.
changjian-wang
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bojunehsu and
yungshinlintw
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This pull request adds support for training custom analyzers in Azure AI Content Understanding using labeled data stored in Azure Blob Storage. It introduces a comprehensive sample demonstrating the process, updates the test environment to support training data configuration, and adds necessary dependencies and test data.
New sample and documentation for labeled data training:
Sample16_CreateAnalyzerWithLabels.mdthat explains how to train a custom analyzer using labeled data, including setup instructions, code snippets, training data structure, and key concepts.SDK and test infrastructure enhancements:
LabeledDataKnowledgeSourcefor easier instantiation with just a container URL, simplifying usage in code and samples.ContentUnderstandingClientTestEnvironmentto support environment variables for training data SAS URL, path, storage account, and container name, enabling flexible test configuration for labeled data scenarios.Test and dependency updates:
Azure.Storage.Blobspackage to test dependencies to facilitate uploading training data to Azure Blob Storage in sample and test code.17a84146-e910-460c-bf80-a625e6f64fea.jpg.labels.jsonto the test data folder, providing a concrete example for analyzer training.