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)
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
File details
Details for the file azureml_mlflow-1.0.74-py2.py3-none-any.whl.
File metadata
- Download URL: azureml_mlflow-1.0.74-py2.py3-none-any.whl
- Upload date:
- Size: 20.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.5.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bcf28b1fcc285e296198f7a5b56dbe1f9c7ea350b27c6512aed1539120309039 |
|
| MD5 | dbb333055f2b59f75d13504cbfb2654a |
|
| BLAKE2b-256 | a971fe358698a217323cd41050bdf47da1a8258679c65a68b30853faebcebe9a |
