LDAInference Arguments - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.00
1.0
Published
May 2019
Language
English (United States)
Last Update
2019-11-22
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B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢
OutputTable
Specify the name of the output table that contains the topic distribution of each document in the input table, which the function creates in the database. This table must not already exist.
DocIDColumn
Specify the name of the input column that contains the document identifiers.
WordColumn
Specify the name of the input column that contains the words (one word in each row).
CountColumn
[Optional] Specify the name of the input column that contains the count of the corresponding word in the row. The count is a NUMERIC value whose default value is 1.
OutputTopicNum
[Optional] Specify the number of top-weighted topics and their weights to include in the output table for each training document. The default value, 'all', specifies all topics and their weights. The value num_topics must be a positive integer.
OutputTopicWordNum
[Optional] Specify the number of top topic words and their topic identifiers to include in the output table for each training document. The default value, 'none', specifies no topic words or topic identifiers. The value 'all' specifies all topic words and their topic identifiers. The value num_topic_words must be a positive integer.