Package: brulee 0.3.0.9000

Max Kuhn

brulee:High-Level Modeling Functions with 'torch'

Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.

Authors:Max Kuhn [aut, cre], Daniel Falbel [aut], Posit Software, PBC [cph, fnd]

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brulee/json (API)
NEWS

# Installbrulee in R:

install.packages('brulee',repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tidymodels/brulee/issues

On CRAN:

15 exports 62 stars 3.57 score 44 dependencies 500 downloads

Last updated 4 months agofrom:9b01415eb3

Exports:%>%autoplot brulee_activations brulee_linear_reg brulee_logistic_reg brulee_mlp brulee_multinomial_reg coef matrix_to_dataset schedule_cyclic schedule_decay_expo schedule_decay_time schedule_step set_learn_rate tunable

Dependencies:bit bit64 callr cli colorspace coro desc dplyr ellipsis fansi farver generics ggplot2 glue gtable hardhat isoband jsonlite labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig processx ps R6 RColorBrewer Rcpp rlang safetensors scales tibble tidyselect torch utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Activation functions for neural networks in brulee	brulee_activations
Fit a linear regression model	brulee_linear_reg brulee_linear_reg.data.frame brulee_linear_reg.default brulee_linear_reg.formula brulee_linear_reg.matrix brulee_linear_reg.recipe
Fit a logistic regression model	brulee_logistic_reg brulee_logistic_reg.data.frame brulee_logistic_reg.default brulee_logistic_reg.formula brulee_logistic_reg.matrix brulee_logistic_reg.recipe
Fit neural networks	brulee_mlp brulee_mlp.data.frame brulee_mlp.default brulee_mlp.formula brulee_mlp.matrix brulee_mlp.recipe
Fit a multinomial regression model	brulee_multinomial_reg brulee_multinomial_reg.data.frame brulee_multinomial_reg.default brulee_multinomial_reg.formula brulee_multinomial_reg.matrix brulee_multinomial_reg.recipe
Plot model loss over epochs	autoplot.brulee_linear_reg autoplot.brulee_logistic_reg autoplot.brulee_mlp autoplot.brulee_multinomial_reg brulee-autoplot
Extract Model Coefficients	brulee-coefs coef.brulee_linear_reg coef.brulee_logistic_reg coef.brulee_mlp coef.brulee_multinomial_reg
Convert data to torch format	matrix_to_dataset
Predict from a 'brulee_linear_reg'	predict.brulee_linear_reg
Predict from a 'brulee_logistic_reg'	predict.brulee_logistic_reg
Predict from a 'brulee_mlp'	predict.brulee_mlp
Predict from a 'brulee_multinomial_reg'	predict.brulee_multinomial_reg
Change the learning rate over time	schedule_cyclic schedule_decay_expo schedule_decay_time schedule_step set_learn_rate