Intro nb added
clean up and regression
preprocessor example
Regression nb
lars section
some more additions
revamp structure
refine lars and intro
loss functions added for Gradient Boosting
extend svm nb
some cleanups
more cleanups
handled special case in anova_f_test, CHAID notebook added
Modified argmax() method of
    * MultilabelModel
    * HashedMultilabelModel
to give correct value of ret->score
fixed defects found by Coverity Scan
update the LogitVGPiecewiseBoundLikelihood class
decision tree notebook updated
Merge pull request #2329 from yorkerlin/develop

update the LogitVGPiecewiseBoundLikelihood class
Merge pull request #2324 from mazumdarparijat/documentation

handled special case in anova_f_test, CHAID notebook added
Update LibLinearRegression.h

make doxygen produce a link to enum