Spacewhere all dimensions are normalized to unit range.
This is particularly useful for Gaussian process based regressors and is used internally by
dimensions (list, shape (n_dims,)) –
List of search space dimensions. Each search dimension can be defined either as
a (lower_bound, upper_bound) tuple (for Real or Integer dimensions),
a (lower_bound, upper_bound, “prior”) tuple (for Real dimensions),
as a list of categories (for Categorical dimensions), or
an instance of a Dimension object (Real, Integer or Categorical).
NOTE: The upper and lower bounds are inclusive for Integer dimensions.