Advanced Usage

• Customized model base
  • Example: Implement TabNet as a model base from scratch
  • Example: Implement TabNet as a PyTorch-based model
  • Comparison of different implementations in other model bases
• Advanced customized model base
  • Advanced customizations of AbstractModel
  • Advanced customizations of TorchModel
• Change optimizers and lr shedulers
• Build your own model upon others
  • For AbstractModel
  • For TorchModel
  • Extract learned hidden representation from models
• New data splitters
• New data derivers
• New data imputers
  • Inherit AbstractImputer
  • Inherit AbstractSklearnImputer
• New data processors
  • AbstractAugmenter
  • AbstractProcessor
  • AbstractFeatureSelector
  • AbstractTransformer
  • AbstractScaler
• Multimodal data: Image classification as an example