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-1.0.76-py2.py3-none-any.whl (4.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file azureml_contrib_datadrift-1.0.76-py2.py3-none-any.whl.

File metadata

  • Download URL: azureml_contrib_datadrift-1.0.76-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/4.39.0 CPython/3.5.2

File hashes

Hashes for azureml_contrib_datadrift-1.0.76-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 857def8cc2c973a62d87afaf53e1f9569b6e7a8d505b3980501391757cf3dfad
MD5 5635b2d4ac6a71da7dbe78ff2fa876c7
BLAKE2b-256 4ed97454e34c5008cba29c11a7165bc0c67fb31a5b07a2f2cd371622dc137cf7

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