Metadata-Version: 2.1
Name: mlflow-dbstore
Version: 1.0.1
Summary: Plugin that provides DB Artifact Store functionality for MLflow
Home-page: https://github.com/avflor/mlflow-dbstore
Author: Avrilia Floratou
Author-email: avflor@microsoft.com
License: UNKNOWN
Description: # SQL Server plugin for MLflow
        
        This repository provides a MLflow plugin that allows users to use SQL Server as the artifact store for MLflow.
        
        
        ## Implementation overview
        This repository contains one Python package:
        
        `dbstoreplugin`: This package includes the `DBArtifactRepository` class that is used to read and write artifacts from SQL databases. This class sets the attribute `is_plugin = True` in order to indicate that the class is an MLflow artifact repository plugin. This package also includes the SQLAlchemy database models referenced by `DBArtifactRepository`. The package's `setup.py` file defines entrypoints that tell MLflow to automatically associate the `mssql` URIs with the `DBArtifactRepository` implementation when the `dbstoreplugin` library is installed. The entrypoints are configured as follows:
        
        ```
        entry_points={
            "mlflow.artifact_repository": [
              "mssql=sqlplugin.store:DBArtifactRepository"
            ]
        },
        ```
        
        ## User experience
        
        The proposed plugin structure and development workflow provide the following experience to the end user:
        
        Users can simply install MLflow with the SQL Server plugin via `pip install mlflow[sqlserver]` and then use MLflow as normal. The SQL Server artifact support will be provided automatically using the previously-described setup entrypoints mechanism.
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
