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