# Function to create the model index for a Pipeline object
#
# More detailed explaination here
#
# @param pipeline An object of class \code{Pipeline}
#
# @return a \code{data.frame} with \code{nrow} equal to the number of unique models and \code{ncol} equal to the number of modules
#
# @examples
# \dontrun{
# indexModels(pipeline)
# }
# @keywords internal
indexModels <- function(pipeline){
# count the tasks
task.count <- countTasks(pipeline)
# if any modules have no tasks, return NULL
if(any(task.count==0)){
model.index <- NULL
} else {
# create the parameter list
params <- lapply(as.numeric(task.count),function(x) 1:x)
# create the index matrix
model.index <- calculateIndex(params)
# add names to the rows and columns
colnames(model.index) <- names(task.count)
row.names(model.index) <- paste0("Model_",1:nrow(model.index))
}
# return model.index
return(model.index)
}
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