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README.md

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