I am not sure to understand your terminology. While calling joblib.load, you actually load the RandomForestClassifier. Therefore, calling predict from the estimator loaded with joblib is identical as using the RandomForestClassifier which you trained at the first place.
I think that it would be much simpler if you can post snippet (short), to illustrate your thoughts and avoid confusions. Cheers, On 27 December 2016 at 19:47, <[email protected]> wrote: > Hi Guillaume, > And when I say that I have been able to run my > models using joblib.load, I meant that I have run using joblib.load on a > completely different dataset compared to the one I used for model training. > And I got very similar result to joblib.load run as compared to the output > from RandomForestClassifier run. Please advise on my last note accordingly. > Cheers, > Debu > > Sent from my iPhone > > > On 28-Dec-2016, at 12:08 AM, Debabrata Ghosh <[email protected]> > wrote: > > > > Guillaume > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > -- Guillaume Lemaitre INRIA Saclay - Ile-de-France Equipe PARIETAL [email protected] <[email protected]>r --- https://glemaitre.github.io/
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