Update app.py

app.py

@@ -15,8 +15,8 @@ df.dropna(inplace=True)
 
 m = NeuralProphet(n_forecasts=3,
     n_lags=3, 
-    changepoints_range=5, num_hidden_layers=6, daily_seasonality= False, weekly_seasonality = False, yearly_seasonality = True, ar_reg=True,
-    n_changepoints=50, trend_reg_threshold=True, d_hidden=9, global_normalization=True, global_time_normalization=True, seasonality_reg=1, unknown_data_normalization=True,
+    changepoints_range=0.95, num_hidden_layers=6, daily_seasonality= False, weekly_seasonality = False, yearly_seasonality = True, ar_reg=True,
+    n_changepoints=250, trend_reg_threshold=True, d_hidden=9, global_normalization=True, global_time_normalization=True, seasonality_reg=1, unknown_data_normalization=True,
     seasonality_mode="multiplicative", drop_missing=True,
     learning_rate=0.03
 )