Preprocess data so they can be used as input for train_frm()
.
Usage
preprocess_data(
data = read_rp_xlsx(),
degree_polynomial = 1,
interaction_terms = FALSE,
verbose = 1,
nw = 1
)
Arguments
- data
dataframe with columns RT, NAME, SMILES
- degree_polynomial
defines how many polynomials get added (if 3 quadratic and cubic terms get added)
- interaction_terms
if TRUE all interaction terms get added to data set
- verbose
0 == no output, 1 == show progress, 2 == show progress and warnings
- nw
number of workers to use for parallel processing
Examples
data <- head(RP, 3)
pre <- preprocess_data(data, verbose = 0)