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being the Quo Vadis submission to the Traffic4cast challenge

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Traffic4cast

predicting traffic for the NeurIPS'19 challenge

Setup

  1. Install anaconda or miniconda.
  2. Install dependencies and activate environment:
conda env create environment.yml
conda activate traffic4cast

Distributed hyper-parameter tuning

Start the server, for example on lenovo-storage:

python hypertune.py --run-id test --n-workers 4

Start the workers, for example on other lenovo's – lenovo{3,4,6,7}:

python hypertune.py --run-id test --worker

The hyper-parameter tuning can be runned also locally, but it's unlikely to be efficient:

python hypertune.py --n_workers 4 &
for i in {1..4}; do
	sleep 0.1
	python hypertune.py --worker &
done

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being the Quo Vadis submission to the Traffic4cast challenge

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