Marius Lindauer
Marius Lindauer
**Update details:** Hi, Thanks for listing SMAC3 here. However, I'm surprised to see SMAC3 listed as BSD 1-clause, although it is BSD 3-clause. Could you please look into this again?...
* bilog (log transformations above 0 and below 0) * Gaussian Copula (ECDF -> quantiles -> Inverse Gaussian CDF)
If SMAC3 tried all possible configurations in the ConfigSpace (and the target algorithm is deterministic), but the configuration budget is not yet exhausted (e.g., number of function evaluations), SMAC3 will...
We round up the cutoff to the next integer so far. That's maybe necessary for the pynisher but in all other use cases (where we don't limit the runtime within...
As an todo item for the next smacathon: Improve the documentation for the parallel mode. We have right now: 1. pSMAC (part of the documentation, but no example scripts), which...
By running the following code, the memory usage goes up like crazy: ``` import ConfigSpace.hyperparameters as CSH import numpy as np rnd = np.random.RandomState(19937) a = CSH.UniformIntegerHyperparameter('a', lower=1, upper=2147483647, log=True)...
The yaml file to modify the pcs is fine for now, but it would be more convenient to pass a pcs file which updates the current pcs.
Hi, As mentioned today in the meeting, the LPI plots for hyperparameters sampled on a log-scale where not on a log-scale. Cheers, Marius
Instead of a html report, we could also generate a PDF paper template output. ---> low prio
Please train the MDS mapping only on randomly sampled configurations (not on the ones optimized wrt EI). Of course, please still plot all configurations. (As a reminder of what we...