2013/5/18 James Bergstra <[email protected]>: > Is there a convention / plan for how example weights should be passed to > fit? An optional keyword argument? A new fit_weighted method that may or may > not be present? How would this work together with the incremental fit > mechanism?
A sample_weight argument to fit. I believe most of the linear models already do this, check that module. > I ask because we were talking about boosting algorithms the other day, and > it's natural to implement boosting in terms of reweighted training examples. This is in fact how AdaBoost is implemented in sklearn.ensemble. -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ AlienVault Unified Security Management (USM) platform delivers complete security visibility with the essential security capabilities. Easily and efficiently configure, manage, and operate all of your security controls from a single console and one unified framework. Download a free trial. http://p.sf.net/sfu/alienvault_d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
