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search_space = ParamSet$new(list(
ParamFct$new("OpenML_task_id", levels = c(
"3945", "7593", "34539", "126025", "126026", "126029", "146212",
"167104", "167149", "167152", "167161", "167168", "167181", "167184", "167185",
"167190", "167200", "167201", "168329", "168330", "168331", "168335", "168868",
"168908", "168910", "189354", "189862", "189865", "189866", "189873", "189905",
"189906", "189908", "189909"), tags = "task_id"),
ParamInt$new("epoch", lower = 1L, upper = 52L, tags = "budget"),
ParamDbl$new("batch_size", lower = log(16L), upper = log(512L), tags = c("int", "log")),
ParamDbl$new("learning_rate", lower = log(1e-4), upper = log(1e-1), tags = "log"),
ParamDbl$new("momentum", lower = 0.1, upper = 0.99),
ParamDbl$new("weight_decay", lower = 1e-5, upper = 1e-1),
ParamInt$new("num_layers", lower = 1L, upper = 5L),
ParamDbl$new("max_units", lower = log(64L), upper = log(1024L), tags = c("int", "log")),
ParamDbl$new("max_dropout", lower = 0, upper = 1))
)
search_space$trafo = function(x, param_set) {
x$batch_size = as.integer(round(exp(x$batch_size)))
x$learning_rate = exp(x$learning_rate)
x$max_units = as.integer(round(exp(x$max_units)))
x
}
domain = ParamSet$new(list(
ParamFct$new("OpenML_task_id", levels = c(
"3945", "7593", "34539", "126025", "126026", "126029", "146212",
"167104", "167149", "167152", "167161", "167168", "167181", "167184", "167185",
"167190", "167200", "167201", "168329", "168330", "168331", "168335", "168868",
"168908", "168910", "189354", "189862", "189865", "189866", "189873", "189905",
"189906", "189908", "189909"), tags = "task_id"),
ParamInt$new("epoch", lower = 1L, upper = 52L, tags = "budget"),
ParamInt$new("batch_size", lower = 16L, upper = 512L),
ParamDbl$new("learning_rate", lower = 1e-4, upper = 1e-1),
ParamDbl$new("momentum", lower = 0.1, upper = 0.99),
ParamDbl$new("weight_decay", lower = 1e-5, upper = 1e-1),
ParamInt$new("num_layers", lower = 1L, upper = 5L),
ParamInt$new("max_units", lower = 64L, upper = 1024L),
ParamDbl$new("max_dropout", lower = 0, upper = 1))
)
codomain = ps(
val_accuracy = p_dbl(lower = 0, upper = 100, tags = "maximize"),
val_cross_entropy = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
val_balanced_accuracy = p_dbl(lower = 0, upper = 1, tags = "maximize"),
test_cross_entropy = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
test_balanced_accuracy = p_dbl(lower = 0, upper = 1, tags = "maximize"),
time = p_dbl(lower = 0, upper = Inf, tags = "minimize")
)
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