[scikit-learn] Getting weight coefficient of logistic regression from a pipeline

[Joel Nothman]

No, we do not have a way to get the coefficients with respect to the input
(pre-scaling) space.

On 28 August 2017 at 13:20, Raga Markely <raga.markely at gmail.com> wrote:

> Hello,
>
> I am wondering if it's possible to get the weight coefficients of logistic
> regression from a pipeline?
>
> For instance, I have the followings:
>
>> clf_lr = LogisticRegression(penalty='l1', C=0.1)
>> pipe_lr = Pipeline([['sc', StandardScaler()], ['clf', clf_lr]])
>> pipe_lr.fit(X, y)
>
>
> Does pipe_lr have an attribute that I can call to get the weight
> coefficient?
>
> Or do I have to get it from the classifier as follows?
>
>> X_std = StandardScaler().fit_transform(X)
>> clf_lr = LogisticRegression(penalty='l1', C=0.1)
>> clf_lr.fit(X_std, y)
>> clf_lr.coef_
>
>
> Thank you,
> Raga
>
>
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