our_knp/objects/seeds_DE.sh
int febc599ff2 End-to-end neural-rule pipeline result; seed-variation script
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-15 02:09:00 +03:00

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Bash

#!/bin/bash
# Seed variation on validation: D (learned top-256 + columns, punish 0.012, t1600) vs E (v2 sparse HOG, t4000).
cd /home/int/run/cats-dogs
for s in 1 2 3; do
[ -f seed_D_s$s/metrics.json ] || KNP_COL_PUNISH=0.012 python3 /mnt/c/knp/cats-dogs/run.py seed_D_s$s --data-dir features-v3 --dataset kmeans_top256_validation --train 18000 --count 1000 --threshold 1600 --columns 20 --seed $s --jitter 20 --quant weights > seed_D_s$s.log 2>&1 &
[ -f seed_E_s$s/metrics.json ] || env -u KNP_COL_PUNISH python3 /mnt/c/knp/cats-dogs/run.py seed_E_s$s --data-dir features-v2 --dataset sparse_hog_validation --train 4000 --count 1000 --threshold 4000 --columns 20 --seed $s --jitter 20 --quant weights > seed_E_s$s.log 2>&1 &
done
wait