v0.3.4 - 2019-12-24

With this release we introduce a BTBSession class. This class represents the process of selecting
and tuning several tunables until the best possible configuration fo a specific scorer is found.
We also have improved and fixed some minor bugs arround the code (described in the issues below).

New Features

• BTBSession that makes BTB more user friendly.

Internal Improvements

Improved unittests, removed old dependencies, added more MLChallenges and fixed an issue with
the bound methods.

Resolved Issues

• Issue #145: Implement BTBSession.
• Issue #155: Set defaut to None for CategoricalHyperParam is not possible.
• Issue #157: Metamodel _MODEL_KWARGS_DEFAULT becomes mutable.
• Issue #158: Remove mock dependency from the package.
• Issue #160: Add more Machine Learning Challenges and more estimators.