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@python.org> Date: 9/24/22 5:56 AM (GMT-06:00) To: Scikit-learn
mailing list <scikit-learn@python.org> Cc: Sole Galli
<solega...@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.greg...@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@python.org>
https://mail.python.org/mailman/listinfo/scikit-learn_______________________________________________scikit-learn
mailing
listscikit-learn@python.orghttps://mail.python.org/mailman/listinfo/scikit-learn
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
