Grid Search Config Sharing

base_config = {'lr': 0.01, 'batch_size': 32}
results = []

for lr in [0.001, 0.01, 0.1]:
    config = base_config
    config['lr'] = lr
    score = train(config)
    results.append({'config': config, 'score': score})