Mlflow plugin to use MongoDB as backend for MLflow tracking service
Project description
mlflow-tracking-mongostore
Mlflow plugin to use MongoDB as a backend for the MLflow models registry service. To use this plugin, you need a running instance of MongoDB.
Run 'pip install mlflow-registry-mongostore' to register the plugin as an entrypoint with MongoDB backend.
Installation
pip install mlflow-registry-mongostore
Usage
mlflow server --backend-store-uri mongodb://USER:PASSWORD@MONGO_HOST:DB_NAME
OR
mlflow server --backend-store-uri mongodb+srv://USER:PASSWORD@$MONGO_HOST:DB_NAME
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
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 mlflow_tracking_mongostore-0.1.12-py3-none-any.whl.
File metadata
- Download URL: mlflow_tracking_mongostore-0.1.12-py3-none-any.whl
- Upload date:
- Size: 18.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fa9ce3764055651382bc65f921150f90bc5c33e10b46b0519c6aab25ce63b143
|
|
| MD5 |
7ce626e62481dcea04904c480b5bd44c
|
|
| BLAKE2b-256 |
2063f4125aa4817107ae4b9029d593237c6b23dc6aca3ec6c3a30e36e1c36f13
|
