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I've had p = Predict[x -> y] running for hours and I have now idea if I should kill it or not.

I'm looking for some rough bounds for an estimate of how long Predict[] or Classify[] will take to train depending on the size of the input and the method used:

  • "LinearRegression"
  • "NearestNeighbors"
  • "RandomForest"
  • "NeuralNetwork"

Would be really helpful to monitor the loss function like you can in other ML systems.

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This is on our list of planned functionality.

For now, you can estimate the run time by training on a smaller set first, and then extrapolating.

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  • $\begingroup$ In 10.3 or 11? what would a rough time estimate be? Also the run time would be problem specific, can you show an example with code maybe? $\endgroup$ Commented Jul 29, 2015 at 20:18

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