devel:languages:perl:CPAN-A CPAN modules not in devel:languages:perl This project builds all cpan modules generated by cpanspec without developer interaction. If you want to fix a package, copypac it from here and then submit it to devel:languages:perl https://download.opensuse.org/repositories/devel:/languages:/perl:/CPAN-A/15.4/ openSUSE:Leap:15.4 openSUSE Leap borrows packages from SLE. The content of the build media is almost the same as Leap:15.2, but the development is drastic different. It includes the binaries (instead of the sources) directly from SLE. https://lists.opensuse.org/opensuse-factory/2020-04/msg00165.html https://download.opensuse.org/distribution/leap/15.4/repo/oss/ openSUSE:Backports:SLE-15-SP4 Backports for SLE-15-SP4 Backports for SLE-15-SP4 https://download.opensuse.org/repositories/openSUSE:/Backports:/SLE-15-SP4/standard/ SUSE:SLE-15-SP4:GA https://download.opensuse.org/repositories/SUSE:/SLE-15-SP4:/GA/pool/ SUSE:SLE-15-SP3:Update SLE 15 SP3 SLE 15 SP3 https://download.opensuse.org/distribution/leap/15.4/repo/oss/ SUSE:SLE-15-SP3:GA https://download.opensuse.org/repositories/SUSE:/SLE-15-SP3:/GA/pool/ SUSE:SLE-15-SP2:Update SLE 15 SP2 SLE 15 SP2 https://download.opensuse.org/distribution/leap/15.4/repo/oss/ SUSE:SLE-15-SP2:GA SLE 15 SP2 SLE 15 SP2 https://download.opensuse.org/repositories/SUSE:/SLE-15-SP2:/GA/pool/ SUSE:SLE-15-SP1:Update SLE 15 SP1 SLE 15 SP1 https://download.opensuse.org/distribution/leap/15.4/repo/oss/ SUSE:SLE-15-SP1:GA SLE 15 SP1 SLE 15 SP1 https://download.opensuse.org/repositories/SUSE:/SLE-15-SP1:/GA/pool/ SUSE:SLE-15:Update SLE 15 SLE 15 https://download.opensuse.org/distribution/leap/15.4/repo/oss/ SUSE:SLE-15:GA SLE 15 SLE 15 https://download.opensuse.org/repositories/SUSE:/SLE-15:/GA/pool/ perl-Algorithm-Viterbi Compute Viterbi path and probability Algorithm::Viterbi computes the forward probability, the Viterbi path and the Viterbi probability of a sequence of observations, based on a given start, emission and transition probability. Alternatively, the start, emission and transition probability can be computed from a set of training data. The whole idea of this module is inspired by an article on the Viterbi algorithm in Wikipedia, the free encyclopedia. Rather than copying all text, I'm just including the link to the Wikipedia page: http://en.wikipedia.org/wiki/Viterbi_algorithm. I think the page is well-written and I see no need to repeat the theory here. Reading it may clarify the documentation below.