Upload 4 files

Cluster_Demand_model_df.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cee74eb255f909c6ca9cfb31aba91815493b0f25099f1bbb82fcb08d81c4814b
-size 46901559
+oid sha256:36e92fcbe778970fea67b090351071b34561aa3f106f986dc2a176846f8aeb86
+size 47090725

app.py

@@ -151,6 +151,9 @@ def forecast(starRating, propertyType_cat, distanceFromCenter,lat,lon,property_n
         (model_df['date'] <= cutoff_date)
     ][['date', 'occupiedRooms']].copy()
     actual_df.rename(columns={'occupiedRooms': 'occupied'}, inplace=True)
+    actual_df['occupied'] = actual_df['occupied'] * 1.75
+    actual_df['occupied'] = np.ceil(actual_df['occupied'])
+
     actual_df['source'] = 'Actual'
     
 
@@ -175,6 +178,8 @@ def forecast(starRating, propertyType_cat, distanceFromCenter,lat,lon,property_n
 
     future_df = future_df[['date', 'occupied']].copy()
     future_df['occupied'] = np.ceil(future_df['occupied'])
+    future_df['occupied'] = future_df['occupied'] * 1.75
+    future_df['occupied'] = np.ceil(future_df['occupied'])
     future_df['source'] = 'Forecast'
     
     forecasted_rns = int(future_df['occupied'].sum())
@@ -239,4 +244,4 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
-    demo.launch(share=True)
+    demo.launch(share=False)

lgb_occupancy_model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:20f040df4e078a3a10a99049a94777ce5509c63fa739737819620de58a530bcf
-size 10286417
+oid sha256:7f47170706ea821668ba841d43d4df7914cdab7e5e177c0e8a4d8967fab6ec2b
+size 10279958

scaler.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:883d18e8fad40f2bd5bf808e6190e377f65fe259981f2c8df74b1eaba8480921
+oid sha256:cb9bde9fdf4870c261e2f473bf497bfe4d0a1dfb1df8df91ad7d56a3481abd7c
 size 2031