Configurations

This module provides default configurations for deeptab models. Each configuration is implemented as a dataclass, offering a structured way to define model-specific hyperparameters.

Mambular

Dataclass	Description
DefaultMambularConfig	Default configuration for the Mambular model.

FTTransformer

Dataclass	Description
DefaultFTTransformerConfig	Default configuration for the FTTransformer model.

ResNet

Dataclass	Description
DefaultResNetConfig	Default configuration for the ResNet model.

MLP

Dataclass	Description
DefaultMLPConfig	Default configuration for the MLP model.

TabTransformer

Dataclass	Description
DefaultTabTransformerConfig	Default configuration for the TabTransformer model.

MambaTab

Dataclass	Description
DefaultMambaTabConfig	Default configuration for the MambaTab model.

RNN

Dataclass	Description
DefaultTabulaRNNConfig	Default configuration for RNN models (LSTM, GRU).

MambAttention

Dataclass	Description
DefaultMambAttentionConfig	Default configuration for the MambAttention model.

NDTF

Dataclass	Description
DefaultNDTFConfig	Default configuration for the Neural Decision Tree Forest (NDTF) model.

NODE

Dataclass	Description
DefaultNODEConfig	Default configuration for the Neural Oblivious Decision Ensembles (NODE) model.

TabM

Dataclass	Description
DefaultTabMConfig	Default configuration for the TabM model (Batch-Ensembling MLP).

SAINT

Dataclass	Description
DefaultSAINTConfig	Default configuration for the SAINT model.

• Configurations