Fit 'TabNet' Models for Classification and Regression

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Documentation for package ‘tabnet’ version 0.5.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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
check_compliant_node	Check that Node object names are compliant
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
nn_prune_head.tabnet_fit	Prune top layer(s) of a tabnet network
nn_prune_head.tabnet_pretrain	Prune top layer(s) of a tabnet network
node_to_df	Turn a Node object into predictor and outcome.
num_independent	Parameters for the tabnet model
num_shared	Parameters for the tabnet model
num_steps	Parameters for the tabnet model
tabnet	Parsnip compatible tabnet model
tabnet_config	Configuration for TabNet models
tabnet_explain	Interpretation metrics from a TabNet model
tabnet_explain.default	Interpretation metrics from a TabNet model
tabnet_explain.model_fit	Interpretation metrics from a TabNet model
tabnet_explain.tabnet_fit	Interpretation metrics from a TabNet model
tabnet_explain.tabnet_pretrain	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.Node	Tabnet model
tabnet_fit.recipe	Tabnet model
tabnet_nn	TabNet Model Architecture
tabnet_pretrain	Tabnet model
tabnet_pretrain.data.frame	Tabnet model
tabnet_pretrain.default	Tabnet model
tabnet_pretrain.formula	Tabnet model
tabnet_pretrain.Node	Tabnet model
tabnet_pretrain.recipe	Tabnet model