v0.4.8: WideDeep with the TabTransformer
This release represents an almost-complete refactor of the previous version and I consider the code in this version well tested and production-ready. The main reason why this release is not v1 is because I want to use it with a few more datasets, but at the same time I want the version to be public to see if others use it. Also, I want the changes from the last Beta and v1 to be not too significant.
This version is not backwards compatible (at all).
These are some of the structural changes:
- Building of the model and training the model and now completely decoupled
- Added the
TabTransformer
as a potentialdeeptabular
component - Renamed many of the parameters so that they are consistent between models
- Added the possibility of customising almost every single component: model component, losses, metrics and callbacks
- Added R2 metrics for regression problems