Download report, app performance enhancements

src/pages/2-model_creation.py

@@ -516,7 +516,7 @@ if Reg:
     numbers_dict = {1: "One", 2: "Two",3: "Three",4: "Four",5: "Five",
                     6: "Six",7: "Seven",8: "Eight",9: "Nine",10: "Ten"}
     st.header(f" {numbers_dict[nb_folds]}-Fold Cross-Validation results")
-
+    
     @st.cache_data(show_spinner =False)
     def cv_display(change):
         fig1 = px.scatter(Reg.cv_data_[0], x = 'Measured', y = 'Predicted' , trendline = 'ols', color = 'Folds', symbol = 'Folds',
@@ -530,7 +530,7 @@ if Reg:
         fig0.update_traces(marker_size = 8, showlegend = False)
         return fig0, fig1
     fig0, fig1 = cv_display(change= Reg.cv_data_)
-
+    
     cv1, cv2 = st.columns([2, 2])
     with cv2:
         cv_results = pd.DataFrame(Reg.CV_results_).round(4)# CV table
@@ -545,12 +545,11 @@ if Reg:
         st.plotly_chart(fig0, use_container_width=True)
     
 
-
     ###################################################    BEGIN : Model Diagnosis    ####################################################
 st.header("III - Model Diagnosis", divider='blue')
 if Reg:
     # signal preprocessing results preparation for latex report
-    prep_para = Reg.best_hyperparams_
+    prep_para = Reg.best_hyperparams_.copy()
     if model_type != reg_algo[2]:
         prep_para.pop('n_components')
         for i in ['deriv','polyorder']:
@@ -560,7 +559,7 @@ if Reg:
                 prep_para[i] = '1st'
             elif Reg.best_hyperparams_[i] > 1:
                 prep_para[i] = f"{Reg.best_hyperparams_[i]}nd"
-
+    
     # reg plot and residuals plot
     if model_type != reg_algo[2]:
         measured_vs_predicted = reg_plot([y_train, y_test],[yc, yt], train_idx = train_index, test_idx = test_index)
@@ -581,7 +580,6 @@ if Reg:
         # residual_plot.savefig('./Report/figures/residuals_plot.png')
 
 ###################################################      END : Model Diagnosis   #######################################################
-
     
 ###################################################    BEGIN : Download results    #######################################################
 ##########################################################################################################################################