class Components:
from openke.module.model import ComplEx
from openke.module.loss import SoftplusLoss
from openke.data import TrainDataLoader, TestDataLoader
from openke.module.strategy import NegativeSampling
from openke.config import Trainer, Tester
train_dataloader = TrainDataLoader
test_dataloader = TestDataLoader
model = ComplEx
loss = SoftplusLoss()
strategy = NegativeSampling
trainer = Trainer
tester = Tester
)
# dataloader for test
test_dataloader = TestDataLoader("./benchmarks/WN18RR/", "link")
# define the model
hole = HolE(
ent_tot = train_dataloader.get_ent_tot(),
rel_tot = train_dataloader.get_rel_tot(),
dim = 100
)
# define the loss function
model = NegativeSampling(
model = hole,
loss = SoftplusLoss(),
batch_size = train_dataloader.get_batch_size(),
regul_rate = 1.0
)
# train the model
trainer = Trainer(model = model, data_loader = train_dataloader, train_times = 1000, alpha = 0.5, use_gpu = True, opt_method = "adagrad")
trainer.run()
hole.save_checkpoint('./checkpoint/hole.ckpt')
# test the model
hole.load_checkpoint('./checkpoint/hole.ckpt')
tester = Tester(model = hole, data_loader = test_dataloader, use_gpu = True)
tester.run_link_prediction(type_constrain = False)