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

[Raga Markely]

No problem, thank you!

Best,
Raga

On Mon, Aug 28, 2017 at 12:01 AM, Joel Nothman <joel.nothman at gmail.com>
wrote:

> 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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>>
>
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