Welcome to pytorch_tabnet’s documentation!

Contents:

• README
• TabNet : Attentive Interpretable Tabular Learning
• Installation
  • Easy installation
  • Source code
• What is new ?
• Contributing
• What problems does pytorch-tabnet handle?
• How to use it?
  • Default eval_metric
  • Custom evaluation metrics
• Semi-supervised pre-training
• Data augmentation on the fly
• Easy saving and loading
• Useful links
  • Model parameters
  • Fit parameters
• pytorch_tabnet package
  • pytorch_tabnet.pretraining_utils module
  • pytorch_tabnet.augmentations module
  • pytorch_tabnet.tab_network module
  • pytorch_tabnet.metrics module
  • pytorch_tabnet.tab_model module
  • pytorch_tabnet.sparsemax module
  • pytorch_tabnet.callbacks module
  • pytorch_tabnet.abstract_model module
  • pytorch_tabnet.pretraining module
  • pytorch_tabnet.utils module
  • pytorch_tabnet.multitask module
  • pytorch_tabnet.multiclass_utils module

Indices and tables

• Index

• Module Index

• Search Page