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

azureml_datadrift-1.0.83-py2.py3-none-any.whl (102.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file azureml_datadrift-1.0.83-py2.py3-none-any.whl.

File metadata

  • Download URL: azureml_datadrift-1.0.83-py2.py3-none-any.whl
  • Upload date:
  • Size: 102.3 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/4.41.1 CPython/3.5.2

File hashes

Hashes for azureml_datadrift-1.0.83-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4a3f016a5ec064d3c02adf5068c614afab08d5a74190de467e4959be19a576c2
MD5 f1319ec2b6de416d52622ce530782a02
BLAKE2b-256 9643e2b640d46c3032ecc6b844a310858f72bad857b065b4fd0c2226528cc0ab

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