Hello!
I would like to prepare training data to predict stock flow.
Prediction should be based on 2 inputs (date, stock currency)
input data :
date, stock_currency
1.1.2004, 1000.00
2.1.2004, 1120.00
5.1.2004, 1230.00
7.1.2004, 1150.00
10.1.2004,1040.00
11.1.2004, 999.00
1.2.2004, 945.00
How should training instances look like?
I use nnet function to train the model and predict function with parameter
type="raw", because output must be a numerical value.
I would appreciate if someone could give me any opinion to solve the problem I
mentioned above.
Regards, Leonn Turner!
[[alternative HTML version deleted]]
