[scikit-learn] methods available from last estimator in pipeline

[bmreiniger]

Matt would still need to transform the data using the rest of the pipeline first. There are multiple naming options for pipeline steps, but in this case indexing is nice:```pipe[-1].kneighbors(    pipe[:-1].transform(X))```The user guide quote should probably be updated: not every method carries over. In the source (https://github.com/scikit-learn/scikit-learn/blob/36958fb240fbe435673a9e3c52e769f01f36bec0/sklearn/pipeline.py#L426) you can see what does, indicated by the `@available_if(_final_estimator_has(...))` decorator. These are the same as those listed in the docs page (https://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html#sklearn.pipeline.Pipeline.decision_function). Anything else you need to call from the last step itself.Best, Ben Reiniger
-------- Original message --------From: Sole Galli via scikit-learn <scikit-learn at python.org> Date: 9/24/22  5:56 AM  (GMT-06:00) To: Scikit-learn mailing list <scikit-learn at python.org> Cc: Sole Galli <solegalli at protonmail.com> Subject: Re: [scikit-learn] methods available from last estimator in pipeline Did you try:pipeline.named_steps["the_string_name_for_knn"].kneighbours?pipeline should be replaced by the name you gave to your pipeline and the string in named_steps is the name you have to the knn when setting the pipe.SoleSent with Proton Mail secure email.------- Original Message -------On Friday, September 23rd, 2022 at 10:16 PM, Gregory, Matthew <matt.gregory at oregonstate.edu> wrote:> Hi all,> > I have what is probably a silly question. I read this passage on [1]:> > """> The pipeline has all the methods that the last estimator in the pipeline has, i.e. if the last estimator is a classifier, the Pipeline can be used as a classifier. If the last estimator is a transformer, again, so is the pipeline.> """> > I'm trying to create a pipeline where my last estimator is a KNeighborsClassifier and, instead of predict(), I was hoping to use kneighbors(). But unfortunately, when in a pipeline, I'm getting this AttributeError:> > AttributeError: 'Pipeline' object has no attribute 'kneighbors'> > Is kneighbors() really available from the Pipeline? Or is there an alternative way to call an element in the Pipeline to use it? I tried "pipe[-1].kneighbors(X)", but that doesn't seem to be applying the earlier transforms in the pipeline.> > Thanks for any pointers,> matt> > [1] https://scikit-learn.org/stable/modules/compose.html> _______________________________________________> scikit-learn mailing list> scikit-learn at python.org> https://mail.python.org/mailman/listinfo/scikit-learn_______________________________________________scikit-learn mailing listscikit-learn at python.orghttps://mail.python.org/mailman/listinfo/scikit-learn
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