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A standard framework for modelling Deep Learning Models for tabular data

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As raised in #9 , it would be a good addition to the documentation. comparison of the different models implemented and their runtimes, and performance metric.

documentation
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I did not see a discussion forum anywhere, so please excuse a question in the issue tracker. I noticed Optuna integration on the project roadmap. Are any of the other...

enhancement
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Hello, Can you add [VIME ](https://github.com/jsyoon0823/VIME)model ? Should be straightforward. Thx

enhancement
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When installing package via the pip command, I end up getting the following error when executing `from pytorch_tabular import TabularModel`. I am doing a clean install and no other packages...

if i want to us `sampler = get_balanced_sampler(train['target'].values.ravel())` when train the model `tabular_model.fit(train=train, validation=val, train_sampler=sampler)`. And then i will get an error ```You seem to have configured a sampler in...

Fixed bug when using model_sweep with "model_list" = "full" or "high_memory". ![full_error](https://github.com/manujosephv/pytorch_tabular/assets/130674366/acab9f7d-5543-4bd3-9893-3dca6aa0f244) Fixed to show OOM models in output DataFrame. ![image](https://github.com/manujosephv/pytorch_tabular/assets/130674366/b21f6b1d-5479-449c-9aca-177ffa4a2707) ---- 📚 Documentation preview 📚: https://pytorch-tabular--383.org.readthedocs.build/en/383/

Fix syntax error in experiment_tracking.md log_target ---- 📚 Documentation preview 📚: https://pytorch-tabular--382.org.readthedocs.build/en/382/

**Describe the bug** I wanna do binary classification, but I got this error ValueError: y contains previously unseen labels: [-1.671504692016799] data_config = DataConfig( target=[target_column], continuous_cols=continuous_cols, categorical_cols=categorical_cols, ) trainer_config = TrainerConfig(...

data_config = DataConfig( target=[target_column], continuous_cols=continuous_cols, categorical_cols=categorical_cols, ) **Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to...

updates: - [github.com/astral-sh/ruff-pre-commit: v0.1.11 → v0.1.14](https://github.com/astral-sh/ruff-pre-commit/compare/v0.1.11...v0.1.14) - [github.com/pre-commit/mirrors-prettier: v3.1.0 → v4.0.0-alpha.8](https://github.com/pre-commit/mirrors-prettier/compare/v3.1.0...v4.0.0-alpha.8) ---- 📚 Documentation preview 📚: https://pytorch-tabular--378.org.readthedocs.build/en/378/