mirror of
https://github.com/Toumash/mlflow-docker
synced 2025-11-04 15:19:21 +01:00
96 lines
1.5 KiB
Markdown
96 lines
1.5 KiB
Markdown
# mlflow
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* Reference:
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* official website: https://mlflow.org/
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* github: https://github.com/mlflow/mlflow
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## Usage
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### Build a Docker image
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```sh
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git clone https://github.com/jiankaiwang/mlflow-basis.git
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cd ./mlflow-basis
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sudo docker build -t mlflow-basis:latest .
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```
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### Run a Container
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```sh
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# list available docker images
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sudo docker images
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# list running containers
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sudo docker ps -a
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# run the container
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# container port 5000: mlflow server
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# --rm: remove the container while exiting
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# -i: interactive
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# -t: terminal mode
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# -v: path for host:container
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#
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# example: docker run -it --rm --name mlflow -p 5000:5000 mlflow:latest
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#
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sudo docker run -it --rm --name mlflow -p 5000:5000 -v <local>:<container> mlflow-basis:latest
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# stop the container
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sudo docker stop mlflow
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# restart the container
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sudo docker restart mlflow
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# remove the container
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sudo docker rm mlflow
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```
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### Interact with Container
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```sh
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sudo docker exec -it mlflow /bin/bash
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```
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### mlflow Quickstart
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* start the training in mlflow example
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```sh
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# by default
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# working dir: /app/mlflow/examples
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python ./quickstart/mlflow_tracking.py
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```
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* start the mlflow server to monitor the result
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```sh
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# host 0.0.0.0: allow all remote access
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mlflow server --file-store ./mlruns --host 0.0.0.0
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```
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### Push to Dockerhub
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```sh
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sudo docker login
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# set another tag
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sudo docker tag mlflow-basis:latest <username_in_dockerhub>/mlflow-basis:<version>
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# push to the dockerhub
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sudo docker push <username_in_dockerhub>/mlflow-basis:<version>
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```
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