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 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.
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
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file azureml_mlflow-1.27.0-py3-none-any.whl.
File metadata
- Download URL: azureml_mlflow-1.27.0-py3-none-any.whl
- Upload date:
- Size: 31.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.7.0 requests/2.25.1 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bcafebeb9484bef412a1a684534f074ec00f0036a7a61c2e51ec34f098834270 |
|
| MD5 | 6bd0816718e5e8fcc62b41af98bfda15 |
|
| BLAKE2b-256 | a02aa7b3e034110300fe12a26f4d39ec5e7ba58e83d48540007065681a623ef9 |
