Revision history for Haskell package learning-hmm
Version 0.3.2.2
Version 0.3.2.1
Version 0.3.2.0
- Add function
euclideanDistance which measures the Euclidean distance between
two models
Version 0.3.1.3
Version 0.3.1.2
- Default the limit of Baum-Welch iteration to 10000 (in
baumWelch')
Version 0.3.1.1
Version 0.3.1.0
- Add function
baumWelch' that performs the Baum-Welch algorithm and returns
a result locally maximizing its likelihood. This behaviour is different from
that of baumWelch, which returns a list of intermediate results.
Version 0.3.0.0
- Add
Learning.IOHMM which represents a class of input-output HMM
- Delete
Learning.HMM.new
Version 0.2.1.0
- Performance improvements with employing 'hmatrix'
withEmission now does iterative re-estimation based on the Viterbi path
Version 0.2.0.0
- Remove dependency on the 'logfloat' package
- Performance improvements
Version 0.1.1.0
- Add function
init for random initialization
- Add function
simulate for running a Markov process
Version 0.1.0.0