Changes for version 0.03 - 2004-05-17
- The double-loop inside the predict() method has been turned inside-out, so that the outer loop is now over the new attributes, rather than over the different labels in the training set.
- Some internal changes for making customization easier: moved the model-creation code to new internal classes, making it easier to write additional classes that handle model creation differently.
- Moved some of the numerical utility functions to a Algorithm::NaiveBayes::Util module.
- We now use sum() and max() from List::Util rather than implementing our own. The ones in List::Util are considerably faster.
- Added a copyright and license statement. [Spotted by Alexey Tourbin]
Modules
Bayesian prediction of categories
Provides
in lib/Algorithm/NaiveBayes/Model/Discrete.pm
in lib/Algorithm/NaiveBayes/Model/Frequency.pm
in lib/Algorithm/NaiveBayes/Model/Gaussian.pm
in lib/Algorithm/NaiveBayes/Util.pm