azureml-train-restclients-hyperdrive
Contains classes needed to create HyperDriveRuns with azureml-train-core.
Decision gist · record as of 2026-08-14
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—it 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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later (supports up to Python <4).
- Azure ML workspace and environment setup (per Microsoft's documentation) is a prerequisite for meaningful use.
- Low install friction with a pure-Python wheel and three common dependencies (requests, msrest, msrestazure).
License · maintenance · safety
(unclear) — License treatment is unclear—the package points to a Microsoft URL (https://aka.ms/azureml-sdk-license) rather than declaring a standard SPDX identifier, so you should review the actual license terms before use in proprietary or restricted contexts.
last release 2026-02-25 (170 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 267,481 downloads/mo, #8,291 on PyPI
Alternatives
Verify before relying
pip install azureml-train-restclients-hyperdrive
from azureml.train.hyperdrive import HyperDriveRun
# Use HyperDriveRun classes with azureml-train-core- Exact scope of HyperDrive functionality provided by this package versus azureml-train-core
- Whether this package is intended for direct use or primarily as a transitive dependency
- Performance characteristics or limits on hyperparameter sweep scale
What it is and 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—Azure's service for automated hyperparameter optimization—when used alongside azureml-train-core. The package is built on standard HTTP clients (requests, msrest, msrestazure) to communicate with Azure ML's remote services.
This 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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—it 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.
Install
azureml-train-restclients-hyperdrive on PyPI
Before you install
Low install friction with a pure-Python wheel and three common dependencies (requests, msrest, msrestazure). Actively maintained as of the latest release in February 2026.
Requires Python 3.7 or later (supports up to Python <4). Azure ML workspace and environment setup (per Microsoft's documentation) is a prerequisite for meaningful use.
License in practice
License treatment is unclear—the package points to a Microsoft URL (https://aka.ms/azureml-sdk-license) rather than declaring a standard SPDX identifier, so you should review the actual license terms before use in proprietary or restricted contexts.
Quickstart
pip install azureml-train-restclients-hyperdrive
from azureml.train.hyperdrive import HyperDriveRun
# Use HyperDriveRun classes with azureml-train-coreVerify before relying
- Exact scope of HyperDrive functionality provided by this package versus azureml-train-core
- Whether this package is intended for direct use or primarily as a transitive dependency
- Performance characteristics or limits on hyperparameter sweep scale
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <4,>=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesrequestsmsrestmsrestazure |
| Maintenance | Actively maintained 170 days since the last release |
| First released | |
| Downloads | 267,481 / month, #8,291 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: azureml_train_restclients_hyperdrive-1.62.0-py3-none-any.whl
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See also azureml-train-core · cloudml-hypertune · azureml-train-automl-client · azureml-core · azureml-inference-server-http · azureml-train · azureml-train-automl · sweeps · azure-ai-ml · azureml