diff --git a/deepchem/feat/base_classes.py b/deepchem/feat/base_classes.py
index 3745421e00..4f2c28aadb 100644
--- a/deepchem/feat/base_classes.py
+++ b/deepchem/feat/base_classes.py
@@ -35,8 +35,7 @@ def featurize(self, datapoints, log_every_n=1000):
 
     Returns
     -------
-    A numpy array containing a featurized representation of
-    `datapoints`.
+    A numpy array containing a featurized representation of `datapoints`.
     """
     datapoints = list(datapoints)
     features = []
diff --git a/deepchem/feat/graph_features.py b/deepchem/feat/graph_features.py
index 39e722f07d..b1f2e5d75f 100644
--- a/deepchem/feat/graph_features.py
+++ b/deepchem/feat/graph_features.py
@@ -352,9 +352,10 @@ class ConvMolFeaturizer(MolecularFeaturizer):
 
   References
   ---------
+
   .. [1] Duvenaud, David K., et al. "Convolutional networks on graphs for
-         learning molecular fingerprints." Advances in neural information processing
-         systems. 2015.
+         learning molecular fingerprints." Advances in neural information
+         processing systems. 2015.
 
   Note
   ----
diff --git a/deepchem/feat/smiles_featurizers.py b/deepchem/feat/smiles_featurizers.py
index bb4e7470b1..b31d93bf18 100644
--- a/deepchem/feat/smiles_featurizers.py
+++ b/deepchem/feat/smiles_featurizers.py
@@ -21,17 +21,17 @@ def create_char_to_idx(filename,
                        verbose=False):
   """Creates a dictionary with character to index mapping.
 
-    Parameters
-    ----------
-    filename: str,
-        Name of the file containing the SMILES strings
-    max_len: int, default 250
-        Maximum allowed length of the SMILES string
-    smiles_field: str, default smiles
-        Field indicating the SMILES strings int the file.
-    verbose: bool, default True
-        Whether to print the progress
-    """
+  Parameters
+  ----------
+  filename: str,
+      Name of the file containing the SMILES strings
+  max_len: int, default 250
+      Maximum allowed length of the SMILES string
+  smiles_field: str, default smiles
+      Field indicating the SMILES strings int the file.
+  verbose: bool, default True
+      Whether to print the progress
+  """
   smiles_df = pd.read_csv(filename)
   char_set = set()
   for smile in smiles_df[smiles_field]:
@@ -76,6 +76,7 @@ class SmilesToSeq(MolecularFeaturizer):
 
   def __init__(self, char_to_idx, max_len=250, pad_len=10, **kwargs):
     """Initialize this class. 
+
     Parameters
     ----------
     char_to_idx: dict