I am looking for a neural network that will do this:
1) Load my commodity futures data set of about 6000 rows with 6 inputs and 1 target in each row AND
2) Train a NN on that data set, save it AND
3) Load about 2000 rows of test data which has 6 inputs and of course, no targets into that trained network AND
4) Save the output – predicted targets – to a readable file so that I can load the predictions into my separate program.
I would like to learn minimal coding to get this done.
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