Update algos/regression/elasticnet.py

algos/regression/elasticnet.py

@@ -1,9 +1,9 @@
 from sklearn.linear_model import ElasticNet
 import streamlit as st
-from types import NoneType
+
 
 def process(data):
-    if type(data[0]) == NoneType or type(data[1]) == NoneType: # if either training or testing dataset is still missing
+    if data[0] == None or data[1] == None: # if either training or testing dataset is still missing
         st.info('Please Upload Data')
         return None
     if 'object' in list(data[0].dtypes) or 'object' in list(data[1].dtypes):