a tool for machine learning or deep learning lifecycle
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More detailed please refer to mlflow website https://mlflow.org/.
The Dockfile and related scripts please refer to github https://github.com/jiankaiwang/mlflow-basis/.
# run the container
# container port 5000: mlflow server
# --rm: remove the container while exiting
# -i: interactive
# -t: terminal mode
# -v: path for host:container
#
# CMD: docker run -it --rm --name mlflow -p 5000:5000 mlflow:latest
#
sudo docker run -it --rm --name mlflow -p 5000:5000 \
-v <host_path>:<container_path> mlflow-basis:latest
# start a mlflow server
# host 0.0.0.0: allow all remote access
mlflow server --file-store ./mlruns --host 0.0.0.0
Content type
Image
Digest
Size
331.7 MB
Last updated
almost 8 years ago
docker pull jiankaiwang/mlflow:0.4