Comments (3)
Did you set MinIO credentials? Make sure your aws_access_key_id and aws_secret_access_key is correct.
from mlflow-docker-compose.
猜测是s3协议的问题,这个我已经设置了,但是mc config host list出来的是这个配置,在mlflow里链接的是s3://mlflow
mc | gcs
mc | URL : https://storage.googleapis.com
mc | AccessKey : YOUR-ACCESS-KEY-HERE
mc | SecretKey : YOUR-SECRET-KEY-HERE
mc | API : S3v2
mc | Path : dns
mc | local
mc | URL : http://localhost:9000
mc | AccessKey :
mc | SecretKey :
mc | API :
mc | Path : auto
mc | minio
mc | URL : http://minio:9000
mc | AccessKey : minio
mc | SecretKey : minio123
mc | API : s3v4
mc | Path : auto
mc | play
mc | URL : https://play.min.io
mc | AccessKey : Q3AM3UQ867SPQQA43P2F
mc | SecretKey : zuf+tfteSlswRu7BJ86wekitnifILbZam1KYY3TG
mc | API : S3v4
mc | Path : auto
mc | s3
mc | URL : https://s3.amazonaws.com
mc | AccessKey : YOUR-ACCESS-KEY-HERE
mc | SecretKey : YOUR-SECRET-KEY-HERE
mc | API : S3v4
mc | Path : dns
from mlflow-docker-compose.
mc has its own config, you need to configure the AWS credentials file: https://github.com/sachua/mlflow-docker-compose/blob/8a46cefad2bf3ef785d317894db48b6968083838/README.md?plain=1#LL52C1-L58C8
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Related Issues (13)
- Dependency Dashboard
- Cannot use mlflow.log_artifacts to upload to mlflow tracking server HOT 1
- Action Required: Fix Renovate Configuration
- latest commits recreated volumes? HOT 4
- wrong absolute path in docker-compose.yml HOT 1
- version update request HOT 1
- the bucket is not created on docker-compose up command HOT 9
- bash command in the readme ot working HOT 1
- try creating the credentials file in ~/.aws HOT 2
- Question on MLflow setup HOT 3
- Jupyter notebook fails storing artefacts HOT 1
- model deployment HOT 1
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