So I read the scikit-learn package webpate:
http://scikit-learn.sourceforge.net/dev/modules/generated/sklearn.linear_model.LogisticRegression.html
I can use logistic regression to fit the data, and after I obtain an
instance of LogisticRegression, I can use it to classify new data points.
So far so good.
Is there a way to set the coefficients of LogisticRegression() instance
though? Because after I obtain the trained coefficients, I want to use the
same API to classify new data points. I also don't want to keep retraining
the data to obtain that particular instance that has the coefficients I
want.
For example, I want to do something like
lg = LogisticRegression()
lg.coef_ = [blah blah blah]
------------------------------------------------------------------------------
Learn Windows Azure Live! Tuesday, Dec 13, 2011
Microsoft is holding a special Learn Windows Azure training event for
developers. It will provide a great way to learn Windows Azure and what it
provides. You can attend the event by watching it streamed LIVE online.
Learn more at http://p.sf.net/sfu/ms-windowsazure
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
