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Jul 7, 2019 at 15:01 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jun 11, 2019 at 11:18 comment added grochmal you can't by default run one language in another but that does not mean there aren't workarounds. Yet, workarounds may be slow, or moreover, need a good deal of work to not be slow. I'm trying to weight the possibilities (and don't want to give a correct but useless in practice answer). So probably the last one: How fast the resulting classification need to be?
Jun 11, 2019 at 7:51 comment added mlee_jordan Same data will be in MATLAB in production and the model object will be used to predict. But this is not relevant to my question. I just wanna learn if I can use my pickled or POJO object, created in pyhton, in MATLAB.
Jun 8, 2019 at 23:13 comment added grochmal Wait, by "scoring" you mean executing the model on new data (that is available only in MATLAB at that point in time), yes? i.e. perform the prediction on data that the python code did not see, or is not able to see. Not "scoring" the model based on predictions it already did. (P.S. "scoring" is quite an overloaded word).
Jun 8, 2019 at 16:14 comment added mlee_jordan @grochmal Yes indeed I do modelling in python and save my model object there. Then I wanna use this model object in MATLAB to do scoring.
Jun 7, 2019 at 18:18 comment added grochmal Scoring as in - you run the model normally in python, perform the predictions in that code in python and then perform the prediction scoring in MATLAB. (i.e. not the model training with cross-validation in MATLAB). Yup?
Jun 7, 2019 at 14:50 answer added fuwiak timeline score: 1
Jun 7, 2019 at 14:09 history edited mlee_jordan CC BY-SA 4.0
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Jun 7, 2019 at 13:45 history asked mlee_jordan CC BY-SA 4.0