7.00.02 - Models and Descriptions - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)

The following table describes the HMM model and its corresponding description.

HMM Models and Descriptions
HMM Model Description
Unsupervised Learning Given an observation sequence and the number of states, find the model that maximizes the probability of the observed sequence.
Supervised Learning Given an observation sequences and states, find the model that maximizes the probability of the observed sequence.
Decoding Given the trained model and an observation sequence, find an optimal state sequence.
Evaluation Given the trained model and an observation sequence, find the probability of the sequence.