Skip to main content

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

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

azureml_mlflow-1.0.65-py2.py3-none-any.whl (20.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file azureml_mlflow-1.0.65-py2.py3-none-any.whl.

File metadata

  • Download URL: azureml_mlflow-1.0.65-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/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.5.2

File hashes

Hashes for azureml_mlflow-1.0.65-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f8a5080a26121703b7538f418034eb61775e380460d556e0b11bcbf3b14e6c6f
MD5 a60974a3ea2c9199aeea5ffbf7b3d228
BLAKE2b-256 2dfe8428a68d86539f007daadb0e7c5e689f287b4a19c82d0755b597ccc55f64

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page