Abstruct

This is the example to deploy mlflow tracking server.

Deploy with docker-compose

cd mlflow-server
docker-compose up -d

access to mysql

mysql -u root -p -h 127.0.0.1 -P 3306

access to minio

aws --profile minio --endpoint-url http://127.0.0.1:9000/ s3 ls

register alias

alias minio="aws --profile minio --endpoint-url http://127.0.0.1:9000/ s3"

Deploy to k8s cluster

make mlflow/deploy

Execute training example

mnist classification

cd examples/training/pytorch-model
pip install -r requirement.txt
python train.py