SMAC3 v0.2.1
This is a bugfix, performance and similarity (to SMAC2) release.
- CI: travis-ci continuous integration on OSX
- ADD: initial design for mulitple configurations, initial design for a random configuration
- MAINT: use sklearn PCA if more than 7 instance features are available (as in SMAC 1 and 2)
- MAINT: use same minimum step size for the stochastic local search as in SMAC2.
- MAINT: use same number of imputation iterations as in SMAC2.
- FIX 98: automatically seed the configuration space object based on the SMAC seed.