Description Usage Arguments Details Value Author(s) Examples
Interfaces to rminer
functions that can be used
in a pipeline implemented by magrittr
.
1 2 |
data |
data frame, tibble, list, ... |
... |
Other arguments passed to the corresponding interfaced function. |
Interfaces call their corresponding interfaced function.
Object returned by interfaced function.
Roberto Bertolusso
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ## 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)
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