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qlib/contrib/model/pytorch_alstm.py

@@ -146,7 +146,6 @@ class ALSTM(Model):
 
         raise ValueError("unknown metric `%s`" % self.metric)
 
-
     def train_epoch(self, x_train, y_train):
 
         x_train_values = x_train.values

qlib/contrib/model/pytorch_nn.py

@@ -22,6 +22,7 @@ from ...utils import unpack_archive_with_buffer, save_multiple_parts_file, creat
 from ...log import get_module_logger, TimeInspector
 from ...workflow import R
 
+
 class DNNModelPytorch(Model):
     """DNN Model
 
@@ -349,7 +350,7 @@ class Net(nn.Module):
     def _weight_init(self):
         for m in self.modules():
             if isinstance(m, nn.Linear):
-                nn.init.kaiming_normal_(m.weight, a=0.1, mode='fan_in', nonlinearity='leaky_relu')
+                nn.init.kaiming_normal_(m.weight, a=0.1, mode="fan_in", nonlinearity="leaky_relu")
 
     def forward(self, x):
         cur_output = x