---
id: azureml-train-automl
version: "1.62.0"
license: https://aka.ms/azureml-sdk-license
license_treatment: unclear
maintenance: active
---

# azureml-train-automl — Used for automatically finding the best machine learning model and its parameters.

License: unclear · Maintenance: active · Downloads: 314.4K/mo

## 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 above — verify before relying.

Automatically discovers and trains the best machine learning model and hyperparameters for your dataset, handling model selection and tuning without manual experimentation.

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

pip install azureml-train-automl
uv add azureml-train-automl
poetry add azureml-train-automl

## Installing azureml-train-automl

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.

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 AutoMLConfig

Requires Python 3.8 through 3.11 (capped below 3.12). Azure ML infrastructure and credentials may be required by runtime dependencies.

Verify 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: https://aka.ms/azureml-sdk-license (unclear)
- Python support: capped_below_current
- Install friction: low
- Maintenance: active
- Downloads: 314.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

automated machine learning, automl model selection, hyperparameter tuning, automatic model training, ml model optimization, best model finder, azure automl, automl, azure-sdk, hyperparameter-tuning

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