Rborist (version 0.1-17)

PreTrain: Preformatting for Training with Warm Starts

Description

Presorts and formats training input into a form suitable for subsequent training by Rborist command. Saves unnecessary recomputation of this form when iteratively retraining.

Usage

# S3 method for default
PreTrain(x)

Arguments

x

the design matrix expressed as either a data.frame object with numeric and/or factor columns or as a numeric matrix.

Value

PreTrain

a list of presorted and formatted predictor information:

colNames a vector of strings containing the training column names.

rowNames a vector of strings containing the training row names.

blockNum a matrix containing all numeric predictor values.

blockFac a matrix containing all factor predictor values.

nPredFac the number of factor predictors.

nRow the number of training rows.

facCard a vector of the factor cardinalities.

signature a list consisting of training information needed for separate testing and prediction:

nRow the number of training rows.

predMap a vector mapping core predictor indices back to their respective front-end positions.

level a vector of strings containing the training response factor levels.

Examples

# NOT RUN {
  
# }
# NOT RUN {
    data(iris)
    pt <- PreTrain(iris[,-5])

    ppTry <- seq(0.2, 0.5, by= 0.3/10)
    nIter <- length(ppTry)
    rsq <- numeric(nIter)
    for (i in 1:nIter) {
      rb <- Rborist(pt, iris[,5], predProb=ppTry[i])
      rsq[i] = rb$validiation$rsq
    }
  
# }