The correct function is hp.normal(label, mu, sigma), which is specifically designed to generate values from a normal distribution with the given mean and standard deviation. The other options are not suitable for this purpose:

• hp.qnormal(label, mu, sigma, q): Generates values from a q-normal distribution, not a standard normal distribution.
• hp.quniform(label, low, high, q): Generates values from a q-uniform distribution, not a normal distribution.
• hp.loguniform(label, low, high): Generates values from a log-uniform distribution, not a normal distribution.

Using hp.normal(label, mu, sigma) is ideal for hyperparameter optimization when you need values centered around a mean with a specific spread.