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Fix pytorch_nn.py step bug (#864)

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* Update pytorch_nn.py

* Update pytorch_nn.py
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you-n-g
2022-01-18 22:39:19 +08:00
committed by GitHub
parent 86e1265f69
commit bdf1fb29a6
1 changed files with 2 additions and 2 deletions
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qlib/contrib/model/pytorch_nn.py
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@@ -201,7 +201,7 @@ class DNNModelPytorch(Model):
y_val_auto = torch.from_numpy(y_valid.values).float().to(self.device) y_val_auto = torch.from_numpy(y_valid.values).float().to(self.device)
w_val_auto = torch.from_numpy(w_valid.values).float().to(self.device) w_val_auto = torch.from_numpy(w_valid.values).float().to(self.device)
for step in range(self.max_steps): for step in range(1, self.max_steps + 1):
if stop_steps >= self.early_stop_rounds: if stop_steps >= self.early_stop_rounds:
if verbose: if verbose:
self.logger.info("\tearly stop") self.logger.info("\tearly stop")
@@ -225,7 +225,7 @@ class DNNModelPytorch(Model):
# validation # validation
train_loss += loss.val train_loss += loss.val
# for evert `eval_steps` steps or at the last steps, we will evaluate the model. # for evert `eval_steps` steps or at the last steps, we will evaluate the model.
if step % self.eval_steps == 0 or step + 1 == self.max_steps: if step % self.eval_steps == 0 or step == self.max_steps:
stop_steps += 1 stop_steps += 1
train_loss /= self.eval_steps train_loss /= self.eval_steps