v0.8.0

Fixed

• Is the score out of control or not in controller_cube.py
• Separate/multithread mode for cubes in config_parser.py
• TopicNet is finally Mac-installable using Pip 🎉

Changed

• From now on the library is compatible with Python 3.7 or higher (not Python 3.6)

New

• Ability to define a score controller for any custom score
• Experiment's restore_mode: if something happens during the computation, one can resume the process and proceed from last completed cube
• Dataset's dictionary can be altered using recipes
• Thetaless regularizer is now more user-friendly: only dataset is required as input, not n_dw matrix (the notebook is also updated)
• Score's should_compute: scores may be computed not necessarily on every iteration
• Score's precomputed_data: scores may share some data between each other (eg. one score calculates something and makes the result available for other scores)