An implementation of Hidden Markov Model algorithms developed in Haskell programming language. This software enables users to perform efficient calculations for sequence prediction and classification, using stochastic models that allow for probabilistic inference.
The software's implementation of both Viterbi's algorithm and the forward algorithm ensure that it accurately and efficiently analyzes data. The algorithms are designed to work seamlessly with each other, making the software more adaptable and easily customizable. This feature makes it perfect for use in any industry that requires data analysis, such as healthcare or finance.
It should be noted that the hmm software is licensed and distributed under the terms of the BSD License. This ensures that users are free to modify and redistribute the software as needed. With its ease of use, accurate algorithms, and open-source licensing, hmm is the perfect choice for anyone working with Hidden Markov Models.
Version 0.1.1: N/A