rinfa

The goal of rinfa is to provide Rust bindings for parsnip model specifications.

Installation

You can install the development version of rinfa from GitHub with:

# install.packages("devtools")
devtools::install_github("simonpcouch/rinfa")

Example

x <- matrix(rnorm(3e7), ncol = 3)
y <- rnorm(1e7)

dat <- cbind(as.data.frame(x), y)

system.time(
  lm(y ~ ., dat)
)
#>    user  system elapsed 
#>   1.068   0.182   1.266

system.time(
  # lm()'s speedy friend
  lm.fit(x, y)
)
#>    user  system elapsed 
#>   0.384   0.031   0.416

library(rinfa)

system.time({
  .linfa_linear_reg(x, y)
})
#>    user  system elapsed 
#>   0.161   0.065   0.234

Available implementations

The rinfa package provides an additional engine "linfa" for the models in the following table:

model	engine	mode
decision_tree	linfa	classification
linear_reg	linfa	regression
logistic_reg	linfa	classification
multinom_reg	linfa	classification
naive_Bayes	linfa	classification
svm_linear	linfa	classification