brulee-autoplot         Plot model loss over epochs
brulee-coefs            Extract Model Coefficients
brulee_activations      Activation functions for neural networks in
                        brulee
brulee_auto_int         Fit AutoInt models for tabular data
brulee_chronos          Chronos-2 pretrained forecasting model
brulee_linear_reg       Fit a linear regression model
brulee_logistic_reg     Fit a logistic regression model
brulee_mlp              Fit neural networks
brulee_multinomial_reg
                        Fit a multinomial regression model
brulee_resnet           Fit residual neural networks (ResNet)
brulee_rln              Fit Regularization Learning Networks (RLN)
brulee_saint            Fit SAINT models for tabular data
brulee_tab_icl          Fit a TabICL tabular foundation model
matrix_to_dataset       Convert data to torch format
predict.brulee_auto_int
                        Predict from a 'brulee_auto_int'
predict.brulee_chronos
                        Predict from a 'brulee_chronos' model
predict.brulee_linear_reg
                        Predict from a 'brulee_linear_reg'
predict.brulee_logistic_reg
                        Predict from a 'brulee_logistic_reg'
predict.brulee_mlp      Predict from a 'brulee_mlp'
predict.brulee_multinomial_reg
                        Predict from a 'brulee_multinomial_reg'
predict.brulee_resnet   Predict from a 'brulee_resnet'
predict.brulee_rln      Predict from a 'brulee_rln'
predict.brulee_saint    Predict from a 'brulee_saint'
predict.brulee_tab_icl
                        Predict from a 'brulee_tab_icl'
schedule_decay_time     Change the learning rate over time
summary.brulee_mlp      Summarize the architecture of a brulee model
tab_icl_download_weights
                        Download and cache pretrained TabICL weights
training_efficiency     Training Efficiency
