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Does Rubix ML support multi-dimensional output? #241
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You are correct. From the classifiers we have, the NeuralNet should trivially support multiple outputs for regression but it is currently capt at one in \Rubix\ML\NeuralNet\Layers\Continuous Even if that capt is removed, Rubix\ML\Datasets\Labeled as you mention cannot take multi values. Allowing for the labels to be arrays will need changes in Continuous |
Actually, I needed this for reinforcement learning and programmed it myself. Give it a try: https://github.com/Textualization/ML/blob/rl/src/NeuralNet/Layers/MultiContinuous.php |
We could allow a new "list" datatype in the Dataset object to accommodate multi-label problems. We could also implement a new "MultiOutput" layer. |
Well, I did implement that |
I would like to utilize MLPRegressor to predict multi-dimensional continuous vectors (arrays). Is it possible?
As I see
train
andpartial
methods require Labeled datasets, so what should I use as labels?Thanks.
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