Update app.py

app.py

@@ -3,7 +3,6 @@ import pandas as pd
 from neuralprophet import NeuralProphet
 import io
 import warnings
-import torch.optim.lr_scheduler as lr_scheduler
 
 warnings.filterwarnings("ignore", category=UserWarning)
 
@@ -15,12 +14,8 @@ df.fillna(method='ffill', inplace=True)
 df.dropna(inplace=True)
 
 class CustomNeuralProphet(NeuralProphet):
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-        self.lr_scheduler = lr_scheduler.ReduceLROnPlateau(self.trainer.optimizers[0], mode='min', factor=0.5, patience=10, verbose=True)
-
     def lr_scheduler_step(self, metrics):
-        self.lr_scheduler.step(metrics)
+        pass
 
 m = CustomNeuralProphet(
     n_forecasts=30,