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
Metadata
Release files for mlflow-tracking-mongostore 0.1.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlflow_tracking_mongostore-0.1.15-py3-none-any.whl | Python 3 | none | any | Details |
Release files / mlflow_tracking_mongostore-0.1.15-py3-none-any.whl
| Download URL | mlflow_tracking_mongostore-0.1.15-py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
313ee4f08ec17718f0d60528fd686e5791c2e2c4f80f8440d372051f07fdca1f
|
|
BLAKE2b-256 checksum How to use checksums |
2daf6232e3214082df6a388f67641b31be603d00aa78a21f0ea9c6457f66433f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.5
|