R: High-Level Modeling Functions with 'torch'

# High-Level Modeling Functions with 'torch'

## Documentation for package ‘brulee’ version 1.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

A B C M P S T

## -- A --

autoplot.brulee_auto_int | Plot model loss over epochs
autoplot.brulee_linear_reg | Plot model loss over epochs
autoplot.brulee_logistic_reg | Plot model loss over epochs
autoplot.brulee_mlp | Plot model loss over epochs
autoplot.brulee_multinomial_reg | Plot model loss over epochs
autoplot.brulee_resnet | Plot model loss over epochs
autoplot.brulee_rln | Plot model loss over epochs
autoplot.brulee_saint | Plot model loss over epochs

## -- B --

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_auto_int.data.frame | Fit AutoInt models for tabular data
brulee_auto_int.default | Fit AutoInt models for tabular data
brulee_auto_int.formula | Fit AutoInt models for tabular data
brulee_auto_int.matrix | Fit AutoInt models for tabular data
brulee_auto_int.recipe | Fit AutoInt models for tabular data
brulee_chronos | Chronos-2 pretrained forecasting model
brulee_chronos.data.frame | Chronos-2 pretrained forecasting model
brulee_chronos.default | Chronos-2 pretrained forecasting model
brulee_chronos.formula | Chronos-2 pretrained forecasting model
brulee_chronos.recipe | Chronos-2 pretrained forecasting model
brulee_linear_reg | Fit a linear regression model
brulee_linear_reg.data.frame | Fit a linear regression model
brulee_linear_reg.default | Fit a linear regression model
brulee_linear_reg.formula | Fit a linear regression model
brulee_linear_reg.matrix | Fit a linear regression model
brulee_linear_reg.recipe | Fit a linear regression model
brulee_logistic_reg | Fit a logistic regression model
brulee_logistic_reg.data.frame | Fit a logistic regression model
brulee_logistic_reg.default | Fit a logistic regression model
brulee_logistic_reg.formula | Fit a logistic regression model
brulee_logistic_reg.matrix | Fit a logistic regression model
brulee_logistic_reg.recipe | Fit a logistic regression model
brulee_mlp | Fit neural networks
brulee_mlp.data.frame | Fit neural networks
brulee_mlp.default | Fit neural networks
brulee_mlp.formula | Fit neural networks
brulee_mlp.matrix | Fit neural networks
brulee_mlp.recipe | Fit neural networks
brulee_mlp_two_layer | Fit neural networks
brulee_mlp_two_layer.data.frame | Fit neural networks
brulee_mlp_two_layer.default | Fit neural networks
brulee_mlp_two_layer.formula | Fit neural networks
brulee_mlp_two_layer.matrix | Fit neural networks
brulee_mlp_two_layer.recipe | Fit neural networks
brulee_multinomial_reg | Fit a multinomial regression model
brulee_multinomial_reg.data.frame | Fit a multinomial regression model
brulee_multinomial_reg.default | Fit a multinomial regression model
brulee_multinomial_reg.formula | Fit a multinomial regression model
brulee_multinomial_reg.matrix | Fit a multinomial regression model
brulee_multinomial_reg.recipe | Fit a multinomial regression model
brulee_resnet | Fit residual neural networks (ResNet)
brulee_resnet.data.frame | Fit residual neural networks (ResNet)
brulee_resnet.default | Fit residual neural networks (ResNet)
brulee_resnet.formula | Fit residual neural networks (ResNet)
brulee_resnet.matrix | Fit residual neural networks (ResNet)
brulee_resnet.recipe | Fit residual neural networks (ResNet)
brulee_rln | Fit Regularization Learning Networks (RLN)
brulee_rln.data.frame | Fit Regularization Learning Networks (RLN)
brulee_rln.default | Fit Regularization Learning Networks (RLN)
brulee_rln.formula | Fit Regularization Learning Networks (RLN)
brulee_rln.matrix | Fit Regularization Learning Networks (RLN)
brulee_rln.recipe | Fit Regularization Learning Networks (RLN)
brulee_saint | Fit SAINT models for tabular data
brulee_saint.data.frame | Fit SAINT models for tabular data
brulee_saint.default | Fit SAINT models for tabular data
brulee_saint.formula | Fit SAINT models for tabular data
brulee_saint.matrix | Fit SAINT models for tabular data
brulee_saint.recipe | Fit SAINT models for tabular data
brulee_tab_icl | Fit a TabICL tabular foundation model
brulee_tab_icl.data.frame | Fit a TabICL tabular foundation model
brulee_tab_icl.default | Fit a TabICL tabular foundation model
brulee_tab_icl.formula | Fit a TabICL tabular foundation model
brulee_tab_icl.matrix | Fit a TabICL tabular foundation model
brulee_tab_icl.recipe | Fit a TabICL tabular foundation model

## -- C --

coef.brulee_linear_reg | Extract Model Coefficients
coef.brulee_logistic_reg | Extract Model Coefficients
coef.brulee_mlp | Extract Model Coefficients
coef.brulee_multinomial_reg | Extract Model Coefficients
coef.brulee_resnet | Extract Model Coefficients
coef.brulee_rln | Extract Model Coefficients

## -- M --

matrix_to_dataset | Convert data to torch format

## -- P --

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'

## -- S --

schedule_cyclic | Change the learning rate over time
schedule_decay_expo | Change the learning rate over time
schedule_decay_time | Change the learning rate over time
schedule_step | Change the learning rate over time
set_learn_rate | Change the learning rate over time
summary.brulee | Summarize the architecture of a brulee model
summary.brulee_auto_int | Summarize the architecture of a brulee model
summary.brulee_mlp | Summarize the architecture of a brulee model
summary.brulee_resnet | Summarize the architecture of a brulee model
summary.brulee_rln | Summarize the architecture of a brulee model
summary.brulee_saint | Summarize the architecture of a brulee model

## -- T --

tab_icl_download_weights | Download and cache pretrained TabICL weights
tab_icl_weights_available | Download and cache pretrained TabICL weights
training_efficiency | Training Efficiency