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 = MLFPP.get_hp_space()
space = {
'kernel_size_piano': quniform_int('kernel_size_piano', 4, 24, 1),
'kernel_size_orch': quniform_int('kernel_size_orch', 4, 24, 1),
'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 = {
'n_hidden':
hp.choice('n_hidden', [
[
hopt_wrapper.qloguniform_int('n_hidden_1_' + str(i),
log(500), log(3000), 10)
for i in range(1)
],
[
hopt_wrapper.qloguniform_int('n_hidden_2_' + str(i),
log(500), log(3000), 10)
for i in range(2)
],
[
hopt_wrapper.qloguniform_int('n_hidden_3_' + str(i),
log(500), log(3000), 10)
for i in range(3)
],
]),
'num_filter':
hopt_wrapper.qloguniform_int('num_filter', log(10), log(100), 5),
'filter_size':
hopt_wrapper.quniform_int('filter_size', 6, 24, 1),
}
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
def get_hp_space():
super_space = Model_lop.get_hp_space()
space = {
'n_hidden_embedding': hp.choice('n_hidden_embedding', [
[hopt_wrapper.qloguniform_int('n_hidden_embedding_'+str(i), log(1500), log(3000), 10) for i in range(1)],
[hopt_wrapper.qloguniform_int('n_hidden_embedding_'+str(i), log(1500), log(3000), 10) for i in range(2)],
[hopt_wrapper.qloguniform_int('n_hidden_embedding_'+str(i), log(1500), log(3000), 10) for i in range(3)],
]),
'n_hidden_NADE': hp.choice('n_hidden_NADE', [
[hopt_wrapper.qloguniform_int('n_hidden_NADE_'+str(i), log(1500), log(3000), 10) for i in range(1)],
[hopt_wrapper.qloguniform_int('n_hidden_NADE_'+str(i), log(1500), log(3000), 10) for i in range(2)],
[hopt_wrapper.qloguniform_int('n_hidden_NADE_'+str(i), log(1500), log(3000), 10) for i in range(3)],
]),
'num_ordering': quniform_int('num_ordering', 5, 10, 1)
}
space.update(super_space)
return space
def list_hopt_fixedSized(ranges, name):
return [
quniform_int(name + '_' + str(i), min_unit, max_unit, step)
for i, (min_unit, max_unit, step) in enumerate(ranges)
]
def list_hopt(min_unit, max_unit, step, min_num_layer, max_num_layer, name):
return hp.choice(name, [
[quniform_int(name+'_'+str(i), min_unit, max_unit, step) for i in range(num_layer)] \
for num_layer in range(min_num_layer, max_num_layer)
])