I am using a python parameter optimization library
And here were have the option to define a sampling distribution for various parameters. As i understand this essentially means that we will randomly draw a parameter from one end of the bounds more than the other end. However i'm not sure what this favors. For plain logarithmic sampling, does this mean that we will sample smaller values more often than larger values? Or the other way around?