<reponame>liujiyuan13/MvDOCC-code
from util import load_print_results, read_mymat73, read_mymat, read_dataset
from config import name2file

# dataset_set = ['citeseer', 'cora', 'reuters', 'ccv', 'nus_wide', 'caltech', 'bbc2', 'awa', 'wiki', 'bdgp', 'sunrgbd']

dataset_name = 'ccv'

X, Y = read_dataset('./data/', dataset_name)
print('Current dataset is {}'.format(dataset_name))
print('mvae:')
load_print_results('results2/{}_mvae'.format(dataset_name))
print('mv_dsvdd:')
load_print_results('results2/{}_dsvdd'.format(dataset_name))
print('mvae_fused:')
load_print_results('results2/{}_mvae_fused'.format(dataset_name))
print('splitAE:')
load_print_results('results2/{}_splitAE_fixed'.format(dataset_name))
print('corrAE:')
load_print_results('results2/{}_corrAE'.format(dataset_name))
print('viewPredict:')
load_print_results('results2/{}_predAE'.format(dataset_name))
print('dcca:')
load_print_results('results2/{}_dcca'.format(dataset_name))
print('dgcca:')
load_print_results('results2/{}_dgcca'.format(dataset_name))
# print('trans:')
# load_print_results('results/{}_trans'.format(dataset_name))
from util import load_print_results, read_mymat73, read_mymat, read_dataset
from config import name2file

# dataset_set = ['citeseer', 'cora', 'reuters', 'ccv', 'nus_wide', 'caltech', 'bbc2', 'awa', 'wiki', 'bdgp', 'sunrgbd']

dataset_name = 'ccv'

X, Y = read_dataset('./data/', dataset_name)
print('Current dataset is {}'.format(dataset_name))
print('mvae:')
load_print_results('results2/{}_mvae'.format(dataset_name))
print('mv_dsvdd:')
load_print_results('results2/{}_dsvdd'.format(dataset_name))
print('mvae_fused:')
load_print_results('results2/{}_mvae_fused'.format(dataset_name))
print('splitAE:')
load_print_results('results2/{}_splitAE_fixed'.format(dataset_name))
print('corrAE:')
load_print_results('results2/{}_corrAE'.format(dataset_name))
print('viewPredict:')
load_print_results('results2/{}_predAE'.format(dataset_name))
print('dcca:')
load_print_results('results2/{}_dcca'.format(dataset_name))
print('dgcca:')
load_print_results('results2/{}_dgcca'.format(dataset_name))
# print('trans:')
# load_print_results('results/{}_trans'.format(dataset_name))
# dataset_set = ['citeseer', 'cora', 'reuters', 'ccv', 'nus_wide', 'caltech', 'bbc2', 'awa', 'wiki', 'bdgp', 'sunrgbd'] # print('trans:') # load_print_results('results/{}_trans'.format(dataset_name))