| attention_width | Parameters for the tabnet model |
| autoplot.tabnet_explain | Plot tabnet_explain mask importance heatmap |
| autoplot.tabnet_fit | Plot tabnet_fit model loss along epochs |
| autoplot.tabnet_pretrain | Plot tabnet_fit model loss along epochs |
| decision_width | Parameters for the tabnet model |
| feature_reusage | Parameters for the tabnet model |
| mask_type | Parameters for the tabnet model |
| momentum | Parameters for the tabnet model |
| num_independent | Parameters for the tabnet model |
| num_shared | Parameters for the tabnet model |
| num_steps | Parameters for the tabnet model |
| resolve_data | Transforms input data into tensors |
| tabnet | Parsnip compatible tabnet model |
| tabnet_config | Configuration for TabNet models |
| tabnet_explain | Interpretation metrics from a TabNet model |
| tabnet_fit | Tabnet model |
| tabnet_fit.data.frame | Tabnet model |
| tabnet_fit.default | Tabnet model |
| tabnet_fit.formula | Tabnet model |
| tabnet_fit.recipe | Tabnet model |
| tabnet_pretrain | Tabnet model |
| tabnet_pretrain.data.frame | Tabnet model |
| tabnet_pretrain.default | Tabnet model |
| tabnet_pretrain.formula | Tabnet model |
| tabnet_pretrain.recipe | Tabnet model |