cd VLMMLR_packer_contest
python3 run.py
python3 analyze.py
cd VLMMLR_packer_contest
python3 run.py --model my_model.h5
python3 analyze.py --model my_model.h5
cd VLMMLR_packer_contest
python3 run.py --training_data data/training_data.first_block.500000.csv
python3 analyze.py
I have a larger training data set here
When you are done training a model, run score.py --model [model name]
. Don’t do this too often. Strictly speaking you shouldn’t even have access to this ability.
Add your .h5 model file and your run.py file to results/
and report the output of score.py
in results.md. Push to master when you are done (may need to pull first).