Jahmm v0.6.1

User Guide

Jean-Marc François


Table of Contents

Jahmm: v0.6.1 User Guide
1. Main classes
1.1. Hidden Markov Models
1.2. Observations
2. Learning
2.1. k-Means clustering algorithm
2.2. Baum-Welch algorithm
3. Input/Output
3.1. Observation sequences
3.2. HMMs
4. Various algorithms
5. Drawing
6. Command-Line Interface
6.1. In a nutshell
6.2. CLI Options
6.2.1. Observation distributions
6.2.2. create
6.2.3. print
6.2.4. learn-kmeans
6.2.5. learn-bw
6.2.6. generate
6.2.7. distance-kl
6.3. Example
7. Examples
7.1. Building a HMM
7.2. Multivariate gaussian distributions
7.3. Learning
7.3.1. K-Means
7.3.2. Baum-Welch
7.4. Data file reading
8. References
9. Changelog