nikhils10 / multivariate-analysis--oil-price-prediction-using-lstm-gru- Goto Github PK

hi
i got error when running this code
##Forecasting Using Z-Score Outlier Removal
sc3 = MinMaxScaler(feature_range=(0,1))
sc4 = MinMaxScaler(feature_range=(0,1))
gru_model(sc3,z_train,3)

TypeError: Inputs to a layer should be tensors. Got: MinMaxScaler()

Good morning, Thanks for your contribution and share. Really a good job. Also I have read your paper about the prediction.
There is a place , I could not understand , Coud you give me some guidance about how to how to transform
Mahalanobis transformation is performed on WTI, and three features GOLD, USDINDEX, and US10B ?
Mahalanobis is 1D array, I am not sure how to transform for the target WTI .

Thank you very much. When you are Feel free , I am looking forward to your reply ,

Good morning, I saw your multivariate analysis for WTI and would like to speak with you privately to discuss some possibile partnerships. Also I would like to note that removing the data from the financial crisis might not have been the best idea in my honest opinion. Feel free if interested to message me @ [email protected]