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