Dense Neural Networks for Tabular Regression, Classification and Survival

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Documentation for package ‘densemlp’ version 0.7.1

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

Help Pages

cv_densemlp	Cross-validate a densemlp model
densemlp	Fit a fast dense multilayer perceptron
densemlp_integrated_brier_score	Integrated Brier score for a fitted Brier-loss survival densemlp model
densemlp_metrics	Prediction metrics for a fitted densemlp model
perm_importance	Permutation variable importance for a fitted densemlp model
plot.densemlp	Plot training history
plot.densemlp_importance	Plot permutation importance
plot_history	Plot the training history of a fitted densemlp model
predict.densemlp	Predict from a fitted densemlp model
print.densemlp	Fit a fast dense multilayer perceptron
print.densemlp_importance	Permutation variable importance for a fitted densemlp model
tune_densemlp	Tune a densemlp model over a hyperparameter grid