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Azure ML Environment

feature · part of Azure Machine Learning Service

An environment in Azure ML defines the Python packages and dependencies needed for a training or deployment script. It can be created using Environment class and specifying conda dependencies (e.g., scikit-learn, pandas, numpy) and pip packages (e.g., azureml-sdk). Environments are registered in the workspace and can be reused across experiments.

Also known as: Azure ML Environment, ML Environment

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