Update app.py

app.py

@@ -28,7 +28,7 @@ with st.sidebar:
     test_size = st.slider("Test Size",0.1,0.5,0.05)
 
     st.header("ANN Hyperparameters")
-    hl = st.number_input("Hidden Layers",0,10,1,value=2)
+    hl = st.number_input("Hidden Layers",2,10,1)
     numbers = st.text_input("Neurons for each hidden layer" ,placeholder="provide comma seperated e.g. 8,16,32")
     input_func = lambda x: [int(i.strip()) for i in x.split(",") if i.strip() != ""]
     nn = input_func(numbers)
@@ -48,16 +48,16 @@ with st.sidebar:
     # with col3:
     reg = st.selectbox("Regularizer", ["None", "L1", "L2","ElasticNet"])
     if reg != "None":
-        reg_rate = st.slider("Regularization rate", 0.0, 0.1, 0.01, 0.01)
+        reg_rate = st.slider("Regularization rate", 0.0, 0.1, 0.01)
     # with col4:
     es = st.selectbox("Early Stopping",["No","Yes"],index=0)
     if es == "Yes":
         col3, col4 = st.columns(2)
         with col3:
-            min_delta = st.number_input(0.001,0.9,0.1,value=0.001)
+            min_delta = st.number_input(0.001,0.9,step=0.1,value=0.001)
             
         with col4:
-            patience =  min_delta = st.number_input(3,20,0.1,value=3)
+            patience =  min_delta = st.number_input(3,20,step=0.1,value=3)
             
     # if st.sidebar.button("start trainning"):