Hi, The `classifier` object in your code _is_ the model. In other words, after `fit`, the classifier object will have some new attributes (for instance `classifier.coef_` in the case of linear models), which are used to make predictions when you call `predict`.
Hope this helps, Vlad On Sun, Feb 24, 2019, 05:34 Venkataraman B <venkataraman....@gmail.com> wrote: > Hi, I had a question on the predict and fit methods > > The fit method is used to build the model ie classifier.fit(X,y). But when > the predict method is called the model that is built is never passed. You > only pass the test set. So what model does the predict function use to > predict the output > > I am picking python after working on R and the predict function in R made > more sense because the model that was built is passed along with the test > set that has to be predicted > > Any response would be greatly appreciated > -- > Regards, Venkataraman B > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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