Can can get the coefficients on the scaled data with
pipeline_lr.named_steps_['clf'].coef_
though
On 08/28/2017 12:08 AM, Raga Markely wrote:
No problem, thank you!
Best,
Raga
On Mon, Aug 28, 2017 at 12:01 AM, Joel Nothman <joel.noth...@gmail.com
<mailto:joel.noth...@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.mark...@gmail.com
<mailto:raga.mark...@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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