I guess either fit_transform or just transform, because fit_transform is not
mandatory isn’t it ?
For instance, I did not implement fit_transform, and did not get complains
From: Joel Nothman [mailto:joel.noth...@gmail.com]
Sent: Thursday, February 26, 2015 9:34 PM
To: scikit-learn-general
Subject: Re: [Scikit-learn-general] how does sklearn apply pipelines
And when some function f (such as predict) other than fit is called on the
pipeline, it invokes transform on all the steps but the last, and on the last
step calls f with the transformed data.
On 27 February 2015 at 13:31, Sebastian Raschka
<se.rasc...@gmail.com<mailto:se.rasc...@gmail.com>> wrote:
It's actually quite simple: It invokes fit_transform on all elements in a
pipeline but the last. On the last element in the pipeline (the estimator) only
fit is invoked.
Best,
Sebastian
> On Feb 26, 2015, at 9:01 PM, Pagliari, Roberto
> <rpagli...@appcomsci.com<mailto:rpagli...@appcomsci.com>> wrote:
>
> Given a pipeline with a certain number of transformers and a classifier, how
> does sklearn know which method should be invoked from one step to another?
> Does it list the available methods for each object?
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