0.3.12 - 2020-09-08
In this release BTB includes two new tuners, based on Copulas
: GCP
and GCPEi
. They use a GaussianCopulaProcessRegressor
meta-model which uses sklearn.gaussian_process
after applying copulas.univariate.Univariate
transformations to the input data. The data is afterwards reverted when making a proposal for the hyperparameters
.
Resolved Issues
- Issue #15: Implement a
GaussianCopulaProcessRegressor
. - Issue #205: Separate datasets from
MLChallenge
. - Issue #208: Implement
GaussianCopulaProcessMetaModel
.
Benchmarking
Detailed results from which this summary emerged are available here.