I am trying to build LSTM model on time-series data. I am using MinMaxScaler to change range of features and target variable, then I reshaped data into 3d [samples, timestep, dimensions]
Then I created a neural network model with 3 lstm layers. And after training, I am calculating r2 score on test data.
Same things I have done using dist-keras. But I am getting different results.
I am trying to build LSTM model on time-series data. I am using MinMaxScaler to change range of features and target variable, then I reshaped data into 3d [samples, timestep, dimensions] Then I created a neural network model with 3 lstm layers. And after training, I am calculating r2 score on test data.
Same things I have done using dist-keras. But I am getting different results.
What wrong I am doing?