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2 projects in result set.

0. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification.

Development Status : 5 - Production/Stable [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop (Now Filtering)
License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : C/C\+\+ [Filter]
Programming Language : R [Filter]
Topic : Machine Learning : Boosting (Now Filtering)
Topic : Regression Models [Filter]

Registered: 2009-06-02 16:27

1. l2boost - Efficient boosting method using the l2-loss function with gradient descent along coordinate direction basis functions for linear regression.
Development Status : 4 - Beta [Filter] Intended Audience : End Users/Desktop (Now Filtering) Intended Audience : Other Audience [Filter] License : OSI Approved : GNU General Public License (GPL) (Now Filtering) Natural Language : English [Filter] Operating System : OS Independent [Filter] Programming Language : R [Filter] Topic : Machine Learning : Boosting (Now Filtering)	Activity Percentile: 0.00 Registered: 2012-05-01 11:39