Generic predictor that not depends on data itself. This suppose original function is lebesgue integrable and has no statistical illegal values on them. We can correct these results per frequency with applying arithmetic inverse function on continuous enough ones, but this isn't implement such because any of sub sequences on the original function means the same on this. Bug reports are welcomed. Might close with this.