Be careful: that @property is very significant here. It means that this is
a description of how to *get* the method, not how to *run* the method. You
will notice, for instance, that it says `def transform(self)`, not `def
transform(self, X)`
___
scikit-le
On Sun, 28 Oct 2018 at 07:42, Louis Abraham via scikit-learn <
scikit-learn@python.org> wrote:
> Hi,
>
> This is a code from sklearn.pipeline.Pipeline:
> @property
> def transform(self):
> """Apply transforms, and transform with the final estimator
>
> This also works where final estimator is ``No
Hi,
This is a code from sklearn.pipeline.Pipeline:
@property
def transform(self):
"""Apply transforms, and transform with the final estimator
This also works where final estimator is ``None``: all prior
transformations are applied.
Parameters
-
