0.3.10 - 2020-05-29
With this release we integrate a new tuning library, SMAC
, with our benchmarking process. A new
leaderboard including this library has been generated. The following two tuners from this library
have been added:
SMAC4HPO
: Bayesian optimization using a Random Forest model of pyrfr.HB4AC
: Uses Successive Halving for proposals.
Internal improvements
- Renamed
btb_benchmark/tuners
tobtb_benchmark/tuning_functions
. - Ready to use tuning functions from
btb_benchmark/tuning_functions
.
Resolved Issues
- Issue #195: Integrate
SMAC
for benchmarking.