Update app.py

app.py

@@ -6,6 +6,7 @@ from sklearn.model_selection import train_test_split
 import lightgbm as lgb
 import numpy as np
 import pandas as pd
+import matplotlib.pyplot as plt
 
 
 @st.experimental_memo
@@ -63,32 +64,34 @@ def buil_UI(X):
 
 input_val = buil_UI(X)
 
+if st.button('Calculate House Price'):
+    predictLGBM = best_model.predict(input_val)
+    submissionLGBM = pd.DataFrame({'SalePrice':predictLGBM})
+    result = submissionLGBM.iloc[0].values
+    st.write(result.astype(str))
+
+    shap_values = shap.TreeExplainer(model).shap_values(input_val)
+    st_shap(shap.plots.beeswarm(shap_values), height=300)
+    fig_summary = shap.summary_plot(shap_values, input_val)
+    st.pyplot(fig_summary)
+
+    shap_interaction_values = shap.TreeExplainer(model).shap_interaction_values(input_val.iloc[:,:])
+    st_shap(shap.summary_plot(shap_interaction_values, input_val.iloc[:,:]), height=400)
+    interaction_fig = shap.summary_plot(shap_interaction_values, input_val.iloc[:,:], height=400)
+    st.pyplot(interaction_fig)
+
+    # compute SHAP values
+    # explainer = shap.Explainer(model, input_val)
+    # shap_values = explainer(input_val)
+
+    # st_shap(shap.plots.waterfall(shap_values[0]), height=300)
+    # st_shap(shap.plots.beeswarm(shap_values), height=300)
+
+
+    # shap_interaction_values = shap.TreeExplainer(model).shap_interaction_values(input_val.iloc[:,:])
+    # shap.summary_plot(shap_interaction_values, input_val.iloc[:,:])
 
 
-# MSSubClass = st.sidebar.slider("What is the building class?", min_value = 20, max_value=190)
-# OverallQual = st.sidebar.slider("What is the Overall material and finish quality?", min_value = 1, max_value=10)
-# YearBuilt = st.sidebar.slider("In which year was the Original construction date?", min_value = 1872 , max_value=2010)
-# YearRemodAdd = st.sidebar.slider("In which year was it remodelled?", min_value = 1950, max_value=2010)
-# BsmtUnfSF = st.sidebar.slider("What is the Unfinished square feet of basement area?", min_value = 0, max_value=2336)
-# TotalBsmtSF = st.sidebar.slider("What is the Total square feet of basement area?", min_value = 0, max_value=6110)
-# FirstFlrSF = st.sidebar.slider("What is the First Floor square feet?", min_value = 334, max_value=4692)
-# SecondFlrSF = st.sidebar.slider("What is the Second floor square feet?", min_value = 0, max_value=2065)
-# GrLivArea = st.sidebar.slider("What is the Above grade (ground) living area square feet?", min_value = 334, max_value=5642)
-# FullBath = st.sidebar.slider("What is the number of full bathrooms?", min_value = 0, max_value=3)
-# HalfBath = st.sidebar.slider("What is the number of Half baths?", min_value = 0, max_value=2)
-# TotRmsAbvGrd = st.sidebar.slider("What is the number of Total rooms above grade (does not include bathrooms)?", min_value = 0, max_value=14)
-# Fireplaces = st.sidebar.slider("What is the number of fireplaces?", min_value = 0, max_value=3)
-# GarageCars = st.sidebar.slider("What is the garage capacity in car sizes?", min_value = 0, max_value=4)
-# GarageArea = st.sidebar.slider("What is the size of garage in square feet?", min_value = 0, max_value=1418)
-# MoSold = st.sidebar.slider("In which month was it sold?", min_value = 1, max_value=12)
-# YrSold = st.sidebar.slider("In which year was it sold?", min_value = 2006, max_value=2010)
-
-# compute SHAP values
-explainer = shap.Explainer(model, input_val)
-shap_values = explainer(input_val)
-
-st_shap(shap.plots.waterfall(shap_values[0]), height=300)
-st_shap(shap.plots.beeswarm(shap_values), height=300)
 
 # shap_values = shap.TreeExplainer(model,feature_perturbation="tree_path_dependent").shap_values(X)
 # st_shap(shap.force_plot(explainer.expected_value, shap_values[0,:], X_display.iloc[0,:]), height=200, width=1000)