This module is an implementation of the Generalised and Improved Iterative Scaling (GIS, IIS) algorithms and the Feature Induction (FI) algorithm as defined in (Darroch and Ratcliff 1972) and (Della Pietra et al. 1997). The purpose of the scaling alg...

The "Candidates" object is for storage, retrieval, and manipulation of candidate features. This module requires "Bit::SparseVector"....

This module implements sparse bitvectors. Several methods for manipulating bitvectors are implemented. Creation of bitvectors "new" $vec = Statistics::BitVector->new($n); A bitvector of length $n is created. All bits are zero. "Clone" $clone = $vec->...

This is a bundle of modules related to statistics. Please have a look at Bundle::Math. If you would like to see a specific module included in a future version of this bundle, please send me an email or use rt.cpan.org....