Skip to main content

Azure Machine Learning datadrift

Project description

The azureml-contrib-datadrift package contains functionality for data drift detection for various datasets used in machine learning, including training datasets and scoring dataset. Users can enable data drift detection on deployed ML models. Once data drift detected, user can get notification by alerting email, which is configurable by user.

Project details


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_contrib_datadrift-1.0.79-py2.py3-none-any.whl (4.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file azureml_contrib_datadrift-1.0.79-py2.py3-none-any.whl.

File metadata

  • Download URL: azureml_contrib_datadrift-1.0.79-py2.py3-none-any.whl
  • Upload date:
  • Size: 4.9 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/4.40.1 CPython/3.5.2

File hashes

Hashes for azureml_contrib_datadrift-1.0.79-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 98b3b5d69bea41a70c37fc56a49d8f6df692386cafa6a6526cc9573d63a5e9fe
MD5 ef0f48c41f97a8490627ca61de2f07ee
BLAKE2b-256 8cabc0661d99efd57bb897e4306d05292f463f7f390e32cae301d441ca073a08

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