Contains functionality for data drift detection for various datasets used in machine learning.
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.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file azureml_datadrift-1.38.0-py3-none-any.whl.
File metadata
- Download URL: azureml_datadrift-1.38.0-py3-none-any.whl
- Upload date:
- Size: 99.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.8.2 requests/2.27.1 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a153c596305e7cba1e486a9b333e9d8d80d197df2121219f2a7e3cec54326dc
|
|
| MD5 |
eec0f56a3b071fa4fa7aae0a231c29f8
|
|
| BLAKE2b-256 |
bf518237fe39a56c011a5b5308c1fd0f61f1e98b4aee2c73a88755412108ac7f
|
