tabnet 0.8.0

New features

• messaging is now improved with {cli}
• add optimal threshold and support size into new 1.5 alpha entmax15() and sparsemax15()
mask_types. Add an optional mask_topk config parameter. (#180)
• optimizernow default to the torch_ignite_adam when available.
  Result is 30% faster pretraining and fitting tasks (#178).
• add nn_aum_loss() function for area under the $Min(FPR,FNR)$ optimization for cases of
  unbalanced binary classification (#178).
• add a vignette on imbalanced binary classification with nn_aum_loss() (#178).

Bugfixes

• config parameter now merge correctly for torch loss or torch optimizer generator.
• nn_unsupervised_loss() is now a proper loss function.