No project description provided
Project description
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 service: the metrics and artifacts are logged to your Azure ML Workspace.
With an AzureML Workspace (https://docs.microsoft.com/en-us/python/api/overview/azure/ml/intro?view=azure-ml-py) add the below lines before your MLflow code:
import mlflow from azureml.core import Workspace
workspace = Workspace.from_config()
mlflow.set_tracking_uri(workspace.get_mlflow_tracking_uri())
# Examples can be found here (https://aka.ms/azureml-mlflow-examples)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for azureml_mlflow-1.0.62-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d248b6a6f67ef69aebdcdbd564f792ff50e95440384232fe113a1adb8e2602ae |
|
MD5 | 7099964dd1d1cc64e63deeb54ff02a8f |
|
BLAKE2b-256 | 0090720ff50e45ca9cb7fd2d0ecbb54aa56ba820d188b98a9a171459f15e581a |