xph project create customer-churn --quota compute=200,gpu=4,storage=2TB xph env launch --project customer-churn --image py3-pytorch-gpu --gpu 1 --name notebook-01 xph job submit --project customer-churn --type distributed --workers 4 --ps 2 --image training:v1 \ --dataset churn_events_v2 --checkpoint-store s3://artifacts/customer-churn/ xph model register --project customer-churn --job 4321 --metrics accuracy=0.82 \ --artifact s3://artifacts/customer-churn/model-4321.tar.gz xph deploy create --project customer-churn --model model-4321 --replicas 3 --autoscale cpu>70%:5
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