The azureml-mlflow package contains the integration code of AzureML with MLflow. MLflow (https://mlflow.org/) is an open-source platform for tracking machine learning experiments and managing models. You can use MLflow logging APIs with Azure Machine Learning so that metrics and artifacts are logged to your Azure machine learning workspace.
Usage
Within an AzureML Workspace, add the code below to use MLflow.
import mlflow
from azureml.core import Workspace
workspace = Workspace.from_config()
mlflow.set_tracking_uri(workspace.get_mlflow_tracking_uri())More examples can be found at https://aka.ms/azureml-mlflow-examples.
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Metadata
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Release files for azureml-mlflow 1.62.0.post6
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| File | Interpreter | ABI | Platform | Actions Reset |
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| azureml_mlflow-1.62.0.post6-py3-none-any.whl | Python 3 | none | any | Details for azureml_mlflow-1.62.0.post6-py3-none-any.whl |
Release files / azureml_mlflow-1.62.0.post6-py3-none-any.whl
| Download URL | azureml_mlflow-1.62.0.post6-py3-none-any.whl |
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| Size | 1.0 MB |
| Tags | Python 3 |
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