Update app.py

app.py

@@ -173,7 +173,7 @@ val_data = features.loc[train_split:]
 start = past + future
 end = start + train_split
 
-x_train = train_data[[i for i in range(train_split)]].values
+x_train = train_data[[i for i in range(mybacklogmax)]].values
 y_train = features.iloc[start:end][[1]]
 
 sequence_length = int(past / step)
@@ -181,7 +181,7 @@ x_end = len(val_data) - past - future
 
 label_start = train_split + past + future
 
-x_val = val_data.iloc[:x_end][[i for i in range(train_split)]].values
+x_val = val_data.iloc[:x_end][[i for i in range(mybacklogmax)]].values
 y_val = features.iloc[label_start:][[1]]
 
 dataset_val = keras.preprocessing.timeseries_dataset_from_array(