Models and Descriptions - Aster Analytics

Teradata Aster Analytics Foundation User Guide

Product
Aster Analytics
Release Number
6.21
Published
November 2016
Language
English (United States)
Last Update
2018-04-14
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kiu1466024880662.ditamap
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AA-notempfilter_pdf_output.ditaval
dita:id
B700-1021
lifecycle
previous
Product Category
Software

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.