azureml-train-automl
Used for automatically finding the best machine learning model and its parameters.
Decision gist · record as of 2026-08-14
Yes, if you are already using Azure Machine Learning or plan to adopt it. The package delivers genuine value for automated model discovery and is actively maintained. No, if you need a standalone, cloud-agnostic AutoML solution—this package is tightly coupled to Azure infrastructure and requires proprietary licensing. Verify the license terms and Azure dependency requirements before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 through 3.11 (capped below 3.12).
- Azure ML infrastructure and credentials may be required by runtime dependencies.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
(unclear) — Licensed under a proprietary Microsoft license (https://aka.ms/azureml-sdk-license). Verify terms before use in commercial or redistributed contexts.
last release 2026-02-25 (170 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 314,384 downloads/mo, #7,700 on PyPI
Alternatives
Verify before relying
pip install azureml-train-automl==1.62.0
from azureml.train.automl import AutoMLConfig- Whether azureml-automl-core and related runtime dependencies are freely available or require Azure subscription.
- Whether the package works offline or requires cloud connectivity to Azure services.
- Performance characteristics and scalability limits for large datasets.
What it is and what it does
azureml-train-automl is Microsoft's automated machine learning package that removes the manual work of model selection and hyperparameter tuning. Given training and test data, it evaluates multiple algorithms and parameter combinations to identify the best-performing model for your task. The package is part of the Azure Machine Learning SDK and integrates with Azure's ML infrastructure through six runtime and core dependencies.
It targets developers and researchers who want to quickly establish a baseline model or explore the model space without hand-tuning each candidate. The package supports Python 3.8 through 3.11 on Windows, macOS, and Linux. Installation is straightforward (low friction), and the package is actively maintained in production-stable status.
Use it for
- Rapid prototyping: quickly find a working model for a new dataset without manual algorithm experimentation.
- Baseline establishment: generate a strong baseline model to compare against custom or hand-tuned approaches.
- Classification or regression: discover the best algorithm and parameters for tabular data tasks.
- Production model selection: identify candidate models for deployment when integrated with Azure ML pipelines.
- Exploratory model comparison: evaluate multiple algorithms automatically to understand which performs best.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Azure Machine Learning or plan to adopt it.
The package delivers genuine value for automated model discovery and is actively maintained. No, if you need a standalone, cloud-agnostic AutoML solution—this package is tightly coupled to Azure infrastructure and requires proprietary licensing. Verify the license terms and Azure dependency requirements before committing.
Install
azureml-train-automl on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of 170 days ago. Depends on six specialized azureml packages, which may require Azure SDK infrastructure already in place.
Requires Python 3.8 through 3.11 (capped below 3.12). Azure ML infrastructure and credentials may be required by runtime dependencies.
License in practice
Licensed under a proprietary Microsoft license (https://aka.ms/azureml-sdk-license). Verify terms before use in commercial or redistributed contexts.
Quickstart
pip install azureml-train-automl==1.62.0
from azureml.train.automl import AutoMLConfigVerify before relying
- Whether azureml-automl-core and related runtime dependencies are freely available or require Azure subscription.
- Whether the package works offline or requires cloud connectivity to Azure services.
- Performance characteristics and scalability limits for large datasets.
Package facts
| License | Not declared unclear |
| Python support | Capped below the current Python release <3.12,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesazureml-automl-coreazureml-automl-runtimeazureml-dataset-runtimeazureml-train-automl-clientazureml-train-automl-runtimeazureml-responsibleai |
| Maintenance | Actively maintained 170 days since the last release |
| First released | |
| Downloads | 314,384 / month, #7,700 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: Other/Proprietary LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: azureml_train_automl-1.62.0-py3-none-any.whl
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See also azureml-automl-core · azureml-train-automl-client · FLAML · databricks-automl-runtime · azureml-train-core · azureml-train-restclients-hyperdrive · azureml-sdk · cloudml-hypertune · azureml-train · sweeps