Skip to main content

Azure Machine Learning datadrift

Project description

The azureml-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


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

If you're not sure about the file name format, learn more about wheel file names.

azureml_datadrift-1.8.0-py3-none-any.whl (103.4 kB view details)

Uploaded Python 3

File details

Details for the file azureml_datadrift-1.8.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_datadrift-1.8.0-py3-none-any.whl
  • Upload date:
  • Size: 103.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.5.4

File hashes

Hashes for azureml_datadrift-1.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4ec8d0fa268d934c935fa6b5371a6e8eb7488fcbeb4fca5b6812862802501fa6
MD5 e5606978055ccd5ce98635db7cc0171f
BLAKE2b-256 d2a59a64f301b6065218a56b8c88deaf99b6a1e76225c7f12d0217b15e9c30e2

See more details on using hashes here.

Supported by

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