diff --git a/src/gluonts/torch/model/mq_cnn/estimator.py b/src/gluonts/torch/model/mq_cnn/estimator.py
index b0d779a151..1dfdf87d75 100644
--- a/src/gluonts/torch/model/mq_cnn/estimator.py
+++ b/src/gluonts/torch/model/mq_cnn/estimator.py
@@ -456,7 +456,8 @@ def __init__(
             self.feat_static_real_dim = 0
 
     def create_transformation(self) -> Chain:
-        """Creates transformation to be applied to input dataset
+        """
+        Creates transformation to be applied to input dataset.
 
         Returns:
             Chain:
@@ -577,7 +578,8 @@ def create_transformation(self) -> Chain:
         return Chain(transforms)
 
     def _create_instance_splitter(self, mode: str) -> Chain:
-        """Creates instance splitter to be applied to the dataset
+        """
+        Creates instance splitter to be applied to the dataset.
 
         Args:
             mode (str): `training`, `validation` or `test`
@@ -676,7 +678,8 @@ def create_training_data_loader(
         shuffle_buffer_length: Optional[int] = None,
         **kwargs,
     ) -> Iterable:
-        """Creates data loader for the training dataset
+        """
+        Creates data loader for the training dataset.
 
         Args:
             data (Dataset): training dataset
@@ -706,7 +709,8 @@ def create_validation_data_loader(
         module: MQCNNLightningModule,
         **kwargs,
     ) -> Iterable:
-        """Creates data loader for the validation dataset
+        """
+        Creates data loader for the validation dataset.
 
         Args:
             data (Dataset): validation dataset
@@ -769,7 +773,8 @@ def create_predictor(
         transformation: Transformation,
         module: MQCNNLightningModule,
     ) -> PyTorchPredictor:
-        """Creates predictor for inference
+        """
+        Creates predictor for inference.
 
         Args:
             transformation (Transformation): transformation to be applied to data input to predictor
diff --git a/src/gluonts/torch/model/mq_cnn/layers.py b/src/gluonts/torch/model/mq_cnn/layers.py
index d4351baa79..7c381cd95c 100644
--- a/src/gluonts/torch/model/mq_cnn/layers.py
+++ b/src/gluonts/torch/model/mq_cnn/layers.py
@@ -253,8 +253,9 @@ def forward(
 
 class Enc2Dec(nn.Module):
     """
-    Integrates the encoder_output_static, encoder_output_dynamic and future_features_dynamic
-    and passes them through as the dynamic input to the decoder.
+    Integrates the encoder_output_static, encoder_output_dynamic and
+    future_features_dynamic and passes them through as the dynamic input to the
+    decoder.
 
     Parameters:
     ------------
@@ -439,7 +440,8 @@ def _get_local_mlp(self, init_dim, final_dim, hidden_dimension_seq):
         return local_mlp
 
     def forward(self, encoded_input: Tensor, future_input: Tensor) -> Tensor:
-        """Forward pass for MQCNN decoder
+        """
+        Forward pass for MQCNN decoder.
 
         Args:
             encoded_input (Tensor):
diff --git a/src/gluonts/transform/split.py b/src/gluonts/transform/split.py
index 99b15b1f2e..b0ed1f302c 100644
--- a/src/gluonts/transform/split.py
+++ b/src/gluonts/transform/split.py
@@ -578,7 +578,9 @@ def flatmap_transform(
 
 
 class ForkingSequenceSplitter(FlatMapTransformation):
-    """Forking sequence splitter used by MQ-CNN Model"""
+    """
+    Forking sequence splitter used by MQ-CNN Model.
+    """
 
     @validated()
     def __init__(
@@ -597,7 +599,8 @@ def __init__(
         start_input_field: str = FieldName.TARGET,
         lead_time: int = 0,
     ) -> None:
-        """Creates forking sequences
+        """
+        Creates forking sequences.
 
         Args:
             instance_sampler ([type]):