update

app.py

@@ -5,9 +5,26 @@ import hopsworks
 import joblib
 import xgboost as xgb
 
+def unencode_weekday(fri, mon, sat, sun, thu, tue, wed):
+    if fri==1.0:
+        return "Friday"
+    elif mon==1.0:
+        return "Monday"
+    elif sat==1.0:
+        return "Saturday"
+    elif sun==1.0:
+        return "Sunday"
+    elif thu==1.0:
+        return "Thursday"
+    elif tue==1.0:
+        return "Tuesday"
+    elif wed==1.0:
+        return "Wednesday"
+    else:
+        return "Invalid Weekday"
 
 st.set_page_config(layout="wide")
-st.title('Latest SF incident category prediction')
+st.title('Latest SF Incident Category Prediction')
 
 client = Socrata("data.sfgov.org", "gZmg4iarmENBTk1Vzsb94bnse", username="[email protected]", password="Xw990504")
 results = client.get("wg3w-h783", limit=800000)
@@ -17,7 +34,7 @@ from preprocessor_pipeline import preprocessing_incident
 results_df_preprocessed = preprocessing_incident(results_df)
 results_df_preprocessed.incident_datetime=pd.to_datetime(results_df_preprocessed.incident_datetime)
 results_df_preprocessed.sort_values(by='incident_datetime', ascending = False, inplace = True)
-results_df_preprocessed=results_df_preprocessed[:100]
+results_df_preprocessed = results_df_preprocessed[:100]
 
 project = hopsworks.login()
 fs = project.get_feature_store()
@@ -30,7 +47,11 @@ batch_data = results_df_preprocessed
 batch_data.drop(columns=['incident_datetime','incident_category'], inplace=True)
 y_pred = model.predict(batch_data)
 
-df = results_df_preprocessed
+batch_data["incident_day_of_week"]=batch_data.apply(lambda x:unencode_weekday(x.incident_day_of_week_Friday,x.incident_day_of_week_Monday,x.incident_day_of_week_Saturday,x.incident_day_of_week_Sunday,x.incident_day_of_week_Thursday,x.incident_day_of_week_Tuesday,x.incident_day_of_week_Wednesday),axis=1)
+batch_data.drop(columns=["incident_day_of_week_Friday","incident_day_of_week_Monday","incident_day_of_week_Saturday","incident_day_of_week_Sunday","incident_day_of_week_Thursday","incident_day_of_week_Tuesday","incident_day_of_week_Wednesday"],inplace=True)
+
+
+df = batch_data
 
 st.write(df)
 st.button("Re-run")