Quick question.. every example uses ONE variable ..
Lets assume I want to use LSTM and predict a value Y (say closing price of next day) based on 2 or 3 features (say open , high and close of today), How is that done? (The model/layer/tensor/compile/fit/predict.
And lets assume I then want to add to that code, an additional feature volume.. how can that "add" be done?
Can you give an example.. please javascript/node etc.. I can do this in python alright.
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Quick question.. every example uses ONE variable ..
Lets assume I want to use LSTM and predict a value Y (say closing price of next day) based on 2 or 3 features (say open , high and close of today), How is that done? (The model/layer/tensor/compile/fit/predict.
And lets assume I then want to add to that code, an additional feature volume.. how can that "add" be done?
Can you give an example.. please javascript/node etc.. I can do this in python alright.