Plugin that provides Aliyun oss Artifact Store functionality for MLflow
Project description
Aliyun OSS store plugin for MLflow
This repository provides a MLflow plugin that allows users to use a aliyun oss as the artifact store for MLflow.
Implementation overview
aliyunstoreplugin
: this package includes theAliyunOssArtifactRepository
class that is used to read and write artifacts from Aliyun OSS storage.setup.py
file defines entrypoints that tell MLflow to automatically associate theoss
URIs with theAliyunOssArtifactRepository
implementation when thealiyunstoreplugin
library is installed. The entrypoints are configured as follows:
entry_points={
"mlflow.artifact_repository": [
"oss=aliyunstoreplugin.store.artifact.aliyun_oss_artifact_repo:AliyunOssArtifactRepository"
]
},
Usage
To store artifacts in Aliyun OSS Storage, specify a URI of the form oss://<bucket>/<path>
.
This plugin expects Aliyun Storage access credentials in the
MLFLOW_OSS_ENDPOINT_URL
, MLFLOW_OSS_KEY_ID
and MLFLOW_OSS_KEY_SECRET
environment variables,
so you must set these variables on both your client
application and your MLflow tracking server. Finally, you must run pip install oss2
separately (on both your client and the server) to access Aliyun OSS Storage
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