| 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 |
| 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 |
| 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 |
| 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' |
| 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 |
| training_efficiency | Training Efficiency |