File size: 1,303 Bytes
8304f29 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | from data.loader import FileIO
class SELFRec(object):
def __init__(self, config):
self.social_data = []
self.feature_data = []
self.config = config
if config['model.type'] == 'sequential':
self.training_data, self.test_data = FileIO.load_data_set(config['sequence.data'], config['model.type'])
else:
self.training_data = FileIO.load_data_set(config['training.set'], config['model.type'])
self.test_data = FileIO.load_data_set(config['test.set'], config['model.type'])
self.kwargs = {}
if config.contain('social.data'):
social_data = FileIO.load_social_data(self.config['social.data'])
self.kwargs['social.data'] = social_data
# if config.contains('feature.data'):
# self.social_data = FileIO.loadFeature(config,self.config['feature.data'])
print('Reading data and preprocessing...')
def execute(self):
# import the model module
import_str = 'from model.'+ self.config['model.type'] +'.' + self.config['model.name'] + ' import ' + self.config['model.name']
exec(import_str)
recommender = self.config['model.name'] + '(self.config,self.training_data,self.test_data,**self.kwargs)'
eval(recommender).execute()
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