https://www.kaggle.com/c/severstal-steel-defect-detection
- Install mlcomp with
pip install mlcomp
andpip install pytorch==1.2.0
- Run
mlcomp-server start
- Run
mlcomp init
- Move all competition data to
~/mlcomp/data/severstal/input/
- Make sure to have all read\write permissions for data.
- To apply config to server, run
mlcomp dag *path to dir*/kaggle.yml
- Final model is a
trace.pth
file in~/mlcomp/tasks/*number of the task*/trace.pth
. It is made in the end of task execution so plan your training time carefully.
Note: Make sure to check avalibility of the model defined by catalyst config with\without grid params!