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by patrick451 657 days ago
This also seems to a difference between interpolation and extrapolation. The table doesn't just fit a polynomial to theta between 0 and pi/8 and expect you to extrapolate for theta > pi/8. That would have catastrophic results. It has always seemed to me like one of the big problems with ML is knowing whether a given inference is an interpolation or an extrapolation.
2 comments

In that sense, extrapolation should never be used in “production”. At best it is for exploration.

One characteristics of ML is that this distinction often is not clear. (Hallucination, generalization, etc.)

Interpolation would require deriving from the resultant and extrapolation would guarantee no inference is how I make sense of it