Implementation of the deep learning models with training and evaluation pipelines described in the paper "PORTAL: Scalable Tabular Foundation Models via Content-Specific Tokenization" published at 3rd Table Representation Learning Workshop at NeurIPS 2024. Link to the paper: https://arxiv.org/pdf/2410.13516
The requirements are detailed in the requirements.txt file
To run the model finetuning on the carte or numeric datasets:
python3 -m portal.portal YOUR_RUN_NAME --patience=20 --max_epochs 100 --dataset=carte --regression_loss=l2 --regression_target_normalization standard -c checkpoints/pretrained_ckpt.pth
For the detailed description of the parameters, please check the the parse_args function in the portal/portal.py file
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