def loadData(config_path):
train_path, test_path, save_path = NetworkConfigParser.getDataInfo(
config_path)
nn = NetworkConfigParser.constructNetwork(config_path)
d = Data()
d.import_ratings(train_path, shape=(None, nn.layers[0].num_units))
train = d.R.copy()
test = loadTestData(d, test_path)
return train, test
def LoadDataAndMapping(config_path):
train_path, test_path, save_path = NetworkConfigParser.getDataInfo(
config_path)
nn = NetworkConfigParser.constructNetwork(config_path)
d = Data()
d.import_ratings(train_path, shape=(None, nn.layers[0].num_units))
train = d.R.copy()
test = loadTestData(d, test_path)
usermap = {v: k for k, v in d.users.items()}
itemmap = {v: k for k, v in d.items.items()}
return train, test, usermap, itemmap