intubate (version 1.0.0)

rminer: Interfaces for rminer package for data science pipelines.

Description

Interfaces to rminer functions that can be used in a pipeline implemented by magrittr.

Usage

ntbt_fit(data, ...)
ntbt_mining(data, ...)

Arguments

data

data frame, tibble, list, ...

...

Other arguments passed to the corresponding interfaced function.

Value

Object returned by interfaced function.

Details

Interfaces call their corresponding interfaced function.

Examples

## Not run: 
# library(intubate)
# library(magrittr)
# library(rminer)
# 
# ## ntbt_fit: Fit a supervised data mining model (classification or regression) model
# x1 <- rnorm(200,100,20)
# x2 <- rnorm(200,100,20)
# y <- 0.7*sin(x1/(25*pi))+0.3*sin(x2/(25*pi))
# dta <- data.frame(x1, x2, y)
# 
# ## Original function to interface
# fit(y ~ x1 + x2, data = dta, model = "mlpe")
# 
# ## The interface puts data as first parameter
# ntbt_fit(dta, y ~ x1 + x2, model = "mlpe")
# 
# ## so it can be used easily in a pipeline.
# dta %>%
#   ntbt_fit(y ~ x1 + x2, model = "mlpe")
# 
# 
# ## ntbt_mining: Powerful function that trains and tests a particular fit model
# ##              under several runs and a given validation method
# ## Original function to interface
# mining(y ~ x1 + x2, data = dta, model = "mlpe")
# 
# ## The interface puts data as first parameter
# ntbt_mining(dta, y ~ x1 + x2, model = "mlpe")
# 
# ## so it can be used easily in a pipeline.
# dta %>%
#   ntbt_mining(y ~ x1 + x2, model = "mlpe")
# ## End(Not run)