Interpolation/extrapolation using regression modeling
Hi everyone, I'm looking for a way to leverage regression modeling (particularly the logistic regression modeling) for interpolation or predictive extrapolation of an unknown. Is there a native way to achieve this function? If not, can it be accomplished using either TERR or IronPython? If so, does anyone already something written or the expertise to write something? Thanks a lot for reading this
is your question about saving and applying a trained (logistic regression) model to new data? Or is it about how to generate predictors in a different predictor space or in between existing values? How many predictors do you have? I need more information. Could you upload a dataset and/or Spotfire dxp.