def get_hp_space():
super_space = Model_lop.get_hp_space()
space = {
'num_filter_piano':
list_hopt_fixedSized([(20, 30, 1), (10, 20, 1)],
'num_filter_piano'),
'kernel_size_piano':
list_hopt_fixedSized([(12, 24, 1), (12, 24, 1)],
"kernel_size_piano"),
'num_filter_orch':
list_hopt_fixedSized([(30, 50, 1), (10, 20, 1)],
'num_filter_orch'),
'kernel_size_orch':
list_hopt_fixedSized([(12, 24, 1), (12, 24, 1)],
"kernel_size_orch"),
'embeddings_size':
qloguniform_int("embeddings_size", log(500), log(2000), 10),
'mlp_pred':
list_log_hopt(500, 2000, 10, 1, 3, "mlp_pred"),
'gru_orch':
list_log_hopt(500, 2000, 10, 0, 2, "gru_orch"),
}
space.update(super_space)
return space
def get_hp_space():
super_space = MLFPP.get_hp_space()
space = {
'hs_piano': list_log_hopt(500, 2000, 10, 0, 2, 'hs_piano'),
'hs_orch': list_log_hopt(500, 2000, 10, 0, 2, 'hs_orch'),
'embeddings_size': qloguniform_int('hs_orch', log(500), log(1000), 10),
}
space.update(super_space)
return space
def get_hp_space():
super_space = Model_lop.get_hp_space()
space = {
'num_filter_piano': quniform_int('num_filter_piano', 20, 50, 1),
'kernel_size_piano': quniform_int('kernel_size_piano', 8, 16, 1),
'mlp_piano': list_log_hopt(500, 2000, 10, 1, 3, "mlp_piano"),
'mlp_pred': list_log_hopt(500, 2000, 10, 1, 3, "mlp_pred"),
'gru_orch': list_log_hopt(500, 2000, 10, 1, 3, "gru_orch"),
}
space.update(super_space)
return space
def get_hp_space():
super_space = Model_lop.get_hp_space()
space = {'n_hidden': list_log_hopt(500, 2000, 10, 1, 2, "n_hidden")}
space.update(super_space)
return space
def get_hp_space():
super_space = Model_lop.get_hp_space()
space = {
'n_hidden': list_log_hopt(500, 2000, 10, 1, 2, "n_hidden"),
'num_ordering': quniform_int('num_ordering', 5, 5, 1)
}
space.update(super_space)
return space