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 for Tunable 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 in CategoricalHyperPrameters.