# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
# All the methods returns tasks order from lower to higher problems
# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
getTaggedTasks = function(tag) {
tasks = listOMLTasks(tag = tag)
tasks$dim = tasks$NumberOfInstances * tasks$NumberOfFeatures
tasks = tasks[ order(tasks$dim, decreasing = FALSE), ]
return(tasks$task.id)
}
# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
getPredefinedTasks = function(predefined.task.ids) {
temp.tasks = listOMLTasks(status = "active")
tasks = temp.tasks[temp.tasks$task.id %in% predefined.task.ids, ]
tasks$dim = tasks$NumberOfInstances * tasks$NumberOfFeatures
tasks = tasks[ order(tasks$dim, decreasing = FALSE), ]
return(tasks$task.id)
}
# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
getActiveOMLTasksWithCriteria = function() {
tasks = listOMLTasks(status = "active")
tasks.ids = which(tasks$task.type == "Supervised Classification"
& tasks$estimation.procedure == "10-fold Crossvalidation"
& tasks$NumberOfInstances >= 100
& tasks$NumberOfInstances <= 100000
& tasks$NumberOfMissingValues == 0)
sel.tasks = tasks[tasks.ids, ]
sel.tasks$dims = sel.tasks$NumberOfInstances * sel.tasks$NumberOfFeatures
sel.tasks = sel.tasks[ order(sel.tasks$dims, decreasing = FALSE), ]
# Remove big datasets
sel.tasks = sel.tasks[sel.tasks$dims < 10^6,]
# Tasks with errors
remove.tasks = c(3509, 3508, 8, 10107, 10109)
ret = setdiff(sel.tasks$task.id, remove.tasks)
return (ret)
}
# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
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