On Fri, May 11, 2012 at 10:47:19PM +0900, Mathieu Blondel wrote: > All algorithms which supports a warm_start constructor option should also > be usable similarly to partial_fit. For example:
> from sklearn.linear_model import Lasso > clf = Lasso(warm_start=True) > clf.fit(X_subset1, y_subset1) > clf.fit(X_subset2, y_subset2) > ... I disagree: this is a very different thing than an online approach. In the example above, 'clf' reflects on the data of the second subset if the convergence has been successful. G ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
