Nothing
meltt.match <- function(data,twindow,spatwindow,smartmatch,certainty,k,secondary,partial,weight,episodal,silent){
if (smartmatch==TRUE){
# set default value
certainty <- rep(0,k)
}else{
# certainty entered as levels but zero-based notation in Python
certainty <- certainty - 1
}
# SORT by timestamp and remove last columns, if necessary
data <- data[order(data$date),]
row.names(data) <- NULL
if (is.element("episodal_match",names(data))){
data <- data[,1:(ncol(data)-1)]
}
# Read in the script
# call the main "run" function with its input
colnames <- colnames(data)
match <- py_run_file(paste0(find.package("meltt"),"/python/match.py"))
output_list <- match$run(data,colnames,twindow,spatwindow,smartmatch,k,secondary,certainty,partial,weight,episodal,silent)
# turn into data.frames
if(length(unlist(output_list[1]))==0){
output <- list(matches = data.frame(matrix(0, nrow=0, ncol=5, byrow=T)))
}else{
output <- list(matches = data.frame(matrix(unlist(output_list[1]), ncol=5, byrow=T)))
}
names(output$matches) <- c('data1','event1','data2','event2','score')
if (episodal==0){
if (length(unlist(output_list[2]))==0){
output$selected_matches <- data.frame(matrix(0, nrow=0, ncol=12, byrow=T))
}else{
output$selected_matches <- data.frame(matrix(unlist(output_list[2]), ncol=12, byrow=T))
}
names(output$selected_matches) <- c('dataset','event','bestmatch_data','bestmatch_event','bestmatch_score',
'runnerUp1_data','runnerUp1_event','runnerUp1_score','runnerUp2_data',
'runnerUp2_event','runnerUp2_score','events_matched')
}else{
if (length(unlist(output_list[2]))==0){
output$selected_matches <- data.frame(matrix(0, nrow=0, ncol=5, byrow=T))
}else{
output$selected_matches <- data.frame(matrix(unlist(output_list[2]), ncol=5, byrow=T))
}
names(output$selected_matches) <- c('data1','event1','data2','event2','score')
}
return(output)
}
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