LDATrainer - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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uce1497542673292.ditamap
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dita:id
B700-1022
lifecycle
previous
Product Category
Software

The LDATrainer function uses training data and parameters to build a topic model, using an unsupervised method to estimate the correlation between the topics and words according to the topic number and other parameters. Optionally, the function generates the topic distributions for each training document.

The function uses an iterative algorithm; therefore, applying it to large data sets with a large number of topics can be time-consuming.

The function assumes that the model table can be fitted into the memory of the vworkers.