R/bootstrap.R

In darch: Package for Deep Architectures and Restricted Boltzmann Machines

# Copyright (C) 2016 Johannes Rueckert
#
# This file is part of darch.
#
# darch is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# darch is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with darch. If not, see <http://www.gnu.org/licenses/>.

bootstrapDataSet <- function(dataSet, unique, num = 0)
{
  numRows <- nrow(dataSet@data)
  bootstrapTrainingSamples <- sample(1:numRows,
    if (num > 0) num else numRows,
    replace = if (num > 0) F else T)
  
  if (unique && num == 0)
  {
    bootstrapTrainingSamples <- unique(bootstrapTrainingSamples)
  }
  
  numTrain <- length(bootstrapTrainingSamples)
  bootstrapValidationSamples <-
    which(!(1:numRows %in% bootstrapTrainingSamples))
  numValid <- length(bootstrapValidationSamples)
  
  # TODO validate sizes?
  dataSetValid <- dataSet
  dataSet@data <- dataSet@data[bootstrapTrainingSamples,, drop = F]
  dataSet@targets <- dataSet@targets[bootstrapTrainingSamples,, drop = F]
  dataSetValid@data <- dataSetValid@data[bootstrapValidationSamples,, drop = F]
  dataSetValid@targets <-
    dataSetValid@targets[bootstrapValidationSamples,, drop = F]
  
  futile.logger::flog.info(paste(
    "Bootstrapping is started with %s samples, bootstrapping results in",
    "%s training (%s unique) and %s validation samples for this run."),
    numRows, numTrain, numRows - numValid, numValid)
  
  return(list(dataSet, dataSetValid))
}