loadAggrResults = function(fs_results, agg_fs_results) {
return(fs_results %>%
dplyr::group_by(ids, classifier, dataset) %>%
dplyr::summarise(feats = mean(numFeatures)) %>%
dplyr::inner_join(agg_fs_results, by = c("ids", "dataset", "classifier")) %>%
dplyr::mutate(acc = 1 - metric))
}
getData = function(path) {
resultDfFilter = NULL
resultDfAggFilter = NULL
# get datasets
datasets = list.dirs(path = path, full.names = F, recursive = F)
for(dataset in datasets) {
dataset_path = paste(path, dataset, sep = "/")
# get classifier
classifiers = list.dirs(path = dataset_path, full.names = F, recursive = F)
for (classifier in classifiers) {
# get iterations
iterations = list.dirs(path = paste(dataset_path, classifier, sep = "/"), full.names = F, recursive = F)
# print(iterations)
for (iteration in iterations) {
# build current path
iteration_path = paste(dataset_path, classifier, iteration, sep = "/")
aggr_file_path = list.files(iteration_path)
filter_file = aggr_file_path[startsWith(aggr_file_path, "filter")]
agg_file = aggr_file_path[startsWith(aggr_file_path, "agg_filter")]
# check if done.txt exists
if (length(filter_file) > 0 & length(agg_file) > 0) {
# load result of iteration
result_temp = readr::read_delim(
paste(iteration_path, filter_file, sep = "/"),
";"
)
# load agg temp
agg_result_temp = readr::read_delim(
paste(iteration_path, agg_file, sep = "/"),
";"
)
# set classifier
result_temp$classifier = classifier
result_temp$dataset = dataset
agg_result_temp$classifier = classifier
agg_result_temp$dataset = dataset
# append to results filter
if (is.null(resultDfFilter)) {
resultDfFilter = result_temp
}
else {
resultDfFilter = rbind(resultDfFilter, result_temp)
}
# append to agg_results filter
if (is.null(resultDfAggFilter)) {
resultDfAggFilter = agg_result_temp
}
else {
resultDfAggFilter = rbind(resultDfAggFilter, agg_result_temp)
}
}
}
}
}
return(list(
fs_results = resultDfFilter,
agg_fs_results = resultDfAggFilter
))
}
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