Update pages/CGMM_Trial_1.py

pages/CGMM_Trial_1.py

@@ -220,11 +220,11 @@ def plot_glm_shap_importance(
 #-------------------
 # DATASETS
 #-------------------
-df1=pd.read_csv('../data/ausprivauto0405.csv')
-df2=pd.read_csv('../data/swmotorcycle.csv')
-df1_synthetic=pd.read_csv('../CGMM/d1_cgmm_80_encod.csv')
+df1=pd.read_csv('./data/ausprivauto0405.csv')
+df2=pd.read_csv('./data/swmotorcycle.csv')
+df1_synthetic=pd.read_csv('./CGMM/d1_cgmm_80_encod.csv')
 df1_synthetic = df1_synthetic.drop(columns=["Unnamed: 0"])
-df2_synthetic=pd.read_csv('../CGMM/d2_cgmm_80_encod.csv')
+df2_synthetic=pd.read_csv('./CGMM/d2_cgmm_80_encod.csv')
 df2_synthetic = df2_synthetic.drop(columns=["Unnamed: 0"])
 
 
@@ -361,8 +361,8 @@ st.dataframe(styled_df)
 st.subheader('PCA comparison')
 st.write('Assesses similarity in global variance structure and major latent components.')
 # Load the saved models
-scaler = load('../CGMM/scaler_pca_model_d1_cgmm_80.pkl')
-pca = load('../CGMM/pca_model_d1_cgmm_80.pkl')
+scaler = load('./CGMM/scaler_pca_model_d1_cgmm_80.pkl')
+pca = load('./CGMM/pca_model_d1_cgmm_80.pkl')
 
 def pca_visual_comparison_3d_with_saved_model(real_df, synthetic_df, scaler, pca, title_suffix=""):
     assert set(real_df.columns) == set(synthetic_df.columns), "Datasets must have the same columns."
@@ -404,7 +404,7 @@ pca_visual_comparison_3d_with_saved_model(X_train, df1_synthetic, scaler, pca)
 
 st.subheader('UMAP comparison')
 st.write('Examines nonlinear manifold structure and clustering behavior.')
-img = mpimg.imread('../CGMM/umap_d1_80.png')
+img = mpimg.imread('./CGMM/umap_d1_80.png')
 fig=plt.figure(figsize=(10, 8))
 plt.imshow(img)
 plt.axis('off')
@@ -653,8 +653,8 @@ st.dataframe(styled_df)
 st.subheader('PCA comparison')
 st.write('Assesses similarity in global variance structure and major latent components.')
 # Load the saved models
-scaler = load('../CGMM/scaler_pca_model_d2_cgmm_80.pkl')
-pca = load('../CGMM/pca_model_d2_cgmm_80.pkl')
+scaler = load('./CGMM/scaler_pca_model_d2_cgmm_80.pkl')
+pca = load('./CGMM/pca_model_d2_cgmm_80.pkl')
 
 def pca_visual_comparison_3d_with_saved_model(real_df, synthetic_df, scaler, pca, title_suffix=""):
     assert set(real_df.columns) == set(synthetic_df.columns), "Datasets must have the same columns."
@@ -689,7 +689,7 @@ pca_visual_comparison_3d_with_saved_model(X_train, df2_synthetic, scaler, pca)
 # ### UMAP Analysis
 st.subheader('UMAP comparison')
 st.write('Examines nonlinear manifold structure and clustering behavior.')
-img = mpimg.imread('../CGMM/umap_d2_80.png')
+img = mpimg.imread('./CGMM/umap_d2_80.png')
 fig=plt.figure(figsize=(10, 8))
 plt.imshow(img)
 plt.axis('off')