{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"}],"enrichment":{"capability":"Provides REST client classes for creating and managing HyperDrive hyperparameter tuning runs within the Azure ML SDK ecosystem.","skillfed_tags":["azure-ml","hyperparameter-tuning","rest-client"],"use_cases":["Programmatically create and submit hyperparameter tuning jobs to Azure ML from local or remote compute.","Integrate hyperparameter optimization into Azure ML training pipelines using HyperDrive REST APIs.","Build custom hyperparameter sweep workflows that require direct control over HyperDrive run objects.","Extend Azure ML training scripts with automated tuning without manually managing search space and sampling.","Deploy hyperparameter optimization as part of MLOps workflows on Azure infrastructure."],"what_it_does":"azureml-train-restclients-hyperdrive is a REST client library that bridges Azure ML's hyperparameter tuning (HyperDrive) functionality with the core training framework. It provides the low-level classes needed to construct and manage HyperDrive runs\u2014Azure's service for automated hyperparameter optimization\u2014when used alongside azureml-train-core. The package is built on standard HTTP clients (requests, msrest, msrestazure) to communicate with Azure ML's remote services.\n\nThis is a specialized component within the broader Azure ML SDK, not a standalone tool. It is typically installed as a dependency of higher-level Azure ML packages or when you need direct control over HyperDrive run configuration. The package is actively maintained and carries no known security vulnerabilities, making it a stable choice for teams already committed to the Azure ML platform.","worth_installing":"Yes, if you are already using Azure ML and need programmatic control over HyperDrive hyperparameter tuning. The package has low install friction, no known vulnerabilities, and active maintenance. However, clarify whether you need it directly or if a higher-level Azure ML package already includes it as a dependency\u2014it is a specialized component, not a general-purpose tool. The unclear license treatment warrants a quick review of Microsoft's terms before use in restricted environments."},"id":"azureml-train-restclients-hyperdrive","links":{"html":"https://skillfed.io/packages/azureml-train-restclients-hyperdrive","md":"https://skillfed.io/packages/azureml-train-restclients-hyperdrive.md","pypi":"https://pypi.org/project/azureml-train-restclients-hyperdrive/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-25","license_spdx":null,"license_treatment":"unclear","name":"azureml-train-restclients-hyperdrive","python_support":"supports_current","summary":"Contains classes needed to create HyperDriveRuns with azureml-train-core."},"popularity":{"monthly_downloads":267481,"position":8291,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.62.0"}