NEWS.md

In sboost: Machine Learning with AdaBoost on Decision Stumps

sboost 0.1.2

Minor Changes

• Documentation is updated to comply with CRAN.

sboost 0.1.1

Major Changes

• Classifier output from sboost() now includes right_categories column which is similar to left_categories but is associated with the outcomes in right column. When assessing this new classifier, if a categorical input cannot be found in either right_categories or left_categories (i.e. was not found in training data) the vote for this feature will now be 0. (Before this, if an input was not found in left_categories, it was assumed that the input would be associated with the right outcome.)

• There is a new optional parameter in the sboost() and validate() functions called verbose. The default value for verbose is FALSE, and there is no change from previous versions when verbose = FALSE. If verbose is set to TRUE, a progress bar will appear in the console for each classifier that is created.

Minor Changes

• The Description of the package in the DESCRIPTION file now contains a reference to Freund and Schapire's paper on AdaBoost.

sboost documentation built on May 28, 2022, 1:12 a.m.