# Grid search over lambda and rho (bound verification figure)
# python run.py --config configs/grid.yaml --lamb 0.01 --rho 0.9 --seed 0

experiment: grid
out: results/grid

# Data
N: 2
source_dist: gaussian
num_eval: 10000

# Training (shared)
steps: 20000
lr: 3.0e-3
batch_size: 256
log_every: 500

# Encoder
encoder: mlp
hidden: 256
mixing: spiral
mode: lejepa

# Sweep dimensions
lambs: [1.0e-6, 1.0e-5, 1.0e-4, 1.0e-3, 5.0e-3, 1.0e-2, 5.0e-2, 1.0e-1, 5.0e-1]
rhos: [0.3, 0.5, 0.7, 0.8, 0.9, 0.95, 0.99]
seeds: [0, 1, 2]