v0.3.0 2019-11-11

With this release we introduce an improved BTB that has a major reorganization of the project
with emphasis on an easier way of interacting with BTB and an easy way of developing, testing and
contributing new acquisition functions, metamodels, tuners and hyperparameters.

New project structure

The new major reorganization comes with the btb.tuning module. This module provides everything
needed for the tuning process and comes with three new additions Acquisition, Metamodel and
Tunable. Also there is an update to the Hyperparamters and Tuners. This changes are meant
to help developers and contributors to easily develop, test and contribute new Tuners.

New API

There is a slightly new way of using BTB as the new Tunable class is introduced, that is meant
to be the only required object to instantiate a Tuner. This Tunable class represents a
collection of HyperParams that need to be tuned as a whole, at once. Now, in order to create a
Tuner, a Tunable instance must be created first with the hyperparameters of the
objective function.

New Features

• New Hyperparameters that allow an easier interaction for the final user.
• New Tunable class that manages a collection of Hyperparameters.
• New Tuner class that is a python mixin that requieres of Acquisition and Metamodel as
  parents. Also now works with a single Tunable object.
• New Acquisition class, meant to implement an acquisition function to be inherit by a Tuner.
• New Metamodel class, meant to implement everything that a certain model needs and be inherit
  by the Tuner.
• Reorganization of the selection module to follow a similar API to tuning.

Resolved Issues

• Issue #131: Reorganize the project structure.
• Issue #133: Implement Tunable class to control a list of hyperparameters.
• Issue #134: Implementation of Tuners for the new structure.
• Issue #140: Reorganize selectors.