mlflow 2.11.3
0
MLflow: A Platform for ML Development and Productionization
Contents
MLflow: A Platform for ML Development and Productionization
Stars: 17143, Watchers: 17143, Forks: 3909, Open Issues: 1409The mlflow/mlflow
repo was created 5 years ago and the last code push was 15 minutes ago.
The project is extremely popular with a mindblowing 17143 github stars!
How to Install mlflow
You can install mlflow using pip
pip install mlflow
or add it to a project with poetry
poetry add mlflow
Package Details
- Author
- Databricks
- License
- Apache License 2.0
- Homepage
- https://mlflow.org/
- PyPi:
- https://pypi.org/project/mlflow/
- Documentation:
- https://mlflow.org/docs/latest/index.html
- GitHub Repo:
- https://github.com/mlflow/mlflow
Classifiers
Related Packages
Errors
A list of common mlflow errors.
Code Examples
Here are some mlflow
code examples and snippets.
GitHub Issues
The mlflow package has 1409 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