def test_reverse_format(parameters, results, transforms):
X, y = GPyOpt._prepare_data_for_bayes_opt(parameters, results, transforms)
reversed_X = GPyOpt._reverse_to_sherpa_format(X, transforms, parameters)
assert reversed_X[0] == {
'dropout': 0.1,
'lr': 1e-3,
'activation': 'tanh',
'num_hidden': 111,
'batch_size': 10
}
assert reversed_X[1] == {
'dropout': 0.4,
'lr': 1e-5,
'activation': 'relu',
'num_hidden': 222,
'batch_size': 100
}
assert reversed_X[2] == {
'dropout': 0.33,
'lr': 1e-2,
'activation': 'sigmoid',
'num_hidden': 288,
'batch_size': 1000
}
def test_reverse_format(parameters, results):
X, y, y_var = GPyOpt._prepare_data_for_bayes_opt(parameters, results)
reversed_X = GPyOpt._reverse_to_sherpa_format(X, parameters)
assert reversed_X[0] == {
'dropout': 0.1,
'lr': 1e-3,
'activation': 'tanh',
'num_hidden': 111
}
assert reversed_X[1] == {
'dropout': 0.4,
'lr': 1e-5,
'activation': 'relu',
'num_hidden': 222
}
assert reversed_X[2] == {
'dropout': 0.33,
'lr': 1e-2,
'activation': 'sigmoid',
'num_hidden': 288
}
