Tabnet and v1 ready
This release represents a major step forward for the library in terms of functionalities and flexibility:
- Ported TabNet from the fantastic implementation of the guys at dreamquark-ai.
- Callbacks are now more flexible and save more information.
- The
save
method in theTrainer
is more flexible and transparent - The library has extensively been tested via experiments against
LightGBM
(see here)