Fixed an issue with gpus parameter in TrainerConfig, by setting default value to None for CPU
Added feature to use custom sampler in the training dataloader
Updated documentation and added a new tutorial for imbalanced classification
0.3.0 (2021-03-02)
Fixed a bug on inference
0.4.0 (2021-03-18)
Added AutoInt Model
Added Mixture Density Networks
Refactored the classes to separate backbones from the head of the models
Changed the saving and loading model to work for custom parameters that you pass in fit
0.5.0 (2021-03-18)
Added more documentation
Added Zenodo citation
0.6.0 (2021-06-21)
Upgraded versions of PyTorch Lightning to 1.3.6
Changed the way gpus parameter is handled to avoid confusion. None is CPU, -1 is all GPUs, int is number of GPUs
Added a few more Trainer Params like deterministic, auto_select_gpus
Some bug fixes and changes to docs
Added seed_everything to the fit method to ensure reproducibility
Refactored data_aware_initialization to be part of the BaseModel. Inherited Models can override the method to implement data aware initialization techniques
0.7.0 (2021-09-01)
Implemented TabTransformer and FTTransformer models
Included capability to save a model using GPU an load in CPU
Made the temp folder pytorch tabular specific to avoid conflicts with other tmp folders.