mlflow-skinny 2.11.3

MLflow: A Platform for ML Development and Productionization

Stars: 17140, Watchers: 17140, Forks: 3909, Open Issues: 1412

The mlflow/mlflow repo was created 5 years ago and the last code push was 13 minutes ago.
The project is extremely popular with a mindblowing 17140 github stars!

How to Install mlflow-skinny

You can install mlflow-skinny using pip

pip install mlflow-skinny

or add it to a project with poetry

poetry add mlflow-skinny

Package Details

Author

Databricks

License

Apache License 2.0

Homepage

https://mlflow.org/

PyPi:

https://pypi.org/project/mlflow-skinny/

Documentation:

https://mlflow.org/docs/latest/index.html

GitHub Repo:

https://github.com/mlflow/mlflow

Classifiers

Related Packages

Errors

A list of common mlflow-skinny errors.

Code Examples

Here are some mlflow-skinny code examples and snippets.

GitHub Issues

The mlflow-skinny package has 1412 open issues on GitHub

• [BUG] ONNX deployment on AzureML not working with onnxruntime > v1.9.0
• Update UI
• Condense run comparison table
• Remove unused num_examples var from model eval example
• Use mkstemp to replace deprecated mktemp call
• Running MLprojects using old commit [BUG]
• Bump nanoid from 3.1.23 to 3.2.0 in /mlflow/server/js
• [Needs discussion] Line search_runs behavior up with client implementation
• [BUG] –serve-artifacts URIs on separate server
• add signed url return value when getting GCS download uri
• [BUG] Filtering registered models by tag results in INVALID_PARAMETER_VALUE error
• [BUG] AWS s3bucker permissions required for mlflow client
• [BUG] Bug fix #4238 on v1.18 not present in the v1.22
• Remove deprecated mlflow.pyfunc.load_pyfunc
• Remove deprecated numpy type aliases

See more issues on GitHub