0.3.2 - 2019-12-10
With this release we add the new benchmark
challenge MLChallenge
which allows users to
perform benchmarking over datasets with machine learning estimators, and also some new
features to make the workflow easier.
New Features
- New
MLChallenge
challenge that allows performing crossvalidation over datasets and machine
learning estimators. - New
from_dict
function forTunable
class in order to instantiate from a dictionary that
contains information over hyperparameters. - New
default
value for each hyperparameter type.
Resolved Issues
- Issue #68: Remove
btb.tuning.constants
module. - Issue #120: Tuner repr not helpful.
- Issue #121: HyperParameter repr not helpful.
- Issue #141: Imlement propper logging to the tuning section.
- Issue #150: Implement Tunable
from_dict
. - Issue #151: Add default value for hyperparameters.
- Issue #152: Support
None
as a choice inCategoricalHyperPrameters
.