7.00.02 - LDAInference Arguments - 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)
InputTable
Specifies the name of the table or view that contains the new documents.
ModelTable
Specifies the name of the model table generated by the function LDATrainer.
OutputTable
Specifies 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
Specifies the name of the input column that contains the document identifiers.
WordColumn
Specifies the name of the input column that contains the words (one word in each row).
CountColumn
[Optional] Specifies 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] Specifies 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] Specifies 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.