lgb.prepare2.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lgb.prepare2.R
\name{lgb.prepare2}
\alias{lgb.prepare2}
\title{Data preparator for LightGBM datasets (numeric)}
\usage{
lgb.prepare2(data)
}
\arguments{
\item{data}{A data.frame or data.table to prepare.}
}
\value{
The cleaned dataset. It must be converted to a matrix format (\code{as.matrix}) for input in lgb.Dataset.
}
\description{
Attempts to prepare a clean dataset to prepare to put in a lgb.Dataset. Factors and characters are converted to numeric without integers. This is useful if you have a specific need for numeric dataset instead of integer dataset. There are programs which do not support integer-only input. Consider this is a fallback solution if you cannot use integers. Please use \code{lgb.prepare_rules2} if you want to apply this transformation to other datasets.
}
\examples{
\dontrun{
  library(lightgbm)
  data(iris)
  
  str(iris)
  # 'data.frame':	150 obs. of  5 variables:
  # $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
  # $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
  # $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
  # $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
  # $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 ...
  
  str(lgb.prepare2(data = iris)) # Convert all factors/chars to numeric
  # 'data.frame':	150 obs. of  5 variables:
  # $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
  # $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
  # $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
  # $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
  # $ Species     : num  1 1 1 1 1 1 1 1 1 1 ...
  
  # When lightgbm package is installed, and you do not want to load it
  # You can still use the function!
  lgb.unloader()
  str(lightgbm::lgb.prepare2(data = iris))
  # 'data.frame':	150 obs. of  5 variables:
  # $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
  # $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
  # $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
  # $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
  # $ Species     : num  1 1 1 1 1 1 1 1 1 1 ...
}

}