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-1.12.0-py3-none-any.whl (103.6 kB view details)

Uploaded Python 3

File details

Details for the file azureml_datadrift-1.12.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_datadrift-1.12.0-py3-none-any.whl
  • Upload date:
  • Size: 103.6 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/4.48.2 CPython/3.5.4

File hashes

Hashes for azureml_datadrift-1.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 912ff00d1a03bc7c781c8a518c1b2d2a21062d30b8d3bd45d0643229d4278458
MD5 c35256134e27c13a8583309b5021cd13
BLAKE2b-256 99ac8a463eeb21817caeebab5d454d362a77c7784f781ccf5680a488328792a0

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