mlflow-tracking-mongostore
Mlflow plugin to use MongoDB as a backend for the MLflow tracking service. To use this plugin, you need a running instance of MongoDB.
Run 'pip install mlflow-tracking-mongostore' to register the plugin as an entrypoint with MongoDB backend.
Installation
pip install mlflow-tracking-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-registry-mongostore 0.1.11
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_registry_mongostore-0.1.11-py3-none-any.whl | Python 3 | none | any | Details |
Release files / mlflow_registry_mongostore-0.1.11-py3-none-any.whl
| Download URL | mlflow_registry_mongostore-0.1.11-py3-none-any.whl |
|---|---|
| Size | 20.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.5
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