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") )