GitHub / fmorenopino / HeterogeneousHMM
Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.
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PURL: pkg:github/fmorenopino/HeterogeneousHMM
Stars: 79
Forks: 15
Open issues: 3
License: apache-2.0
Language: Python
Size: 6.22 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: about 2 months ago
Pushed at: almost 2 years ago
Last synced at: 15 days ago
Topics: heterogeneous, hmm, markov-chain, missing-data, missing-data-imputation, python, semi-supervised-learning, unsupervised-learning