SQL-MapReduce Call - Aster Analytics

Teradata AsterĀ® 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 unsupervised model is generated by specifying the user defined threshold values for the different metrics in the ComparisonFields argument. The initialization parameters InitialP, InitialM, InitialU, Lambda, and Mu are set to their default values. The column match_tag is not used for unsupervised learning.

DROP TABLE IF EXISTS fg_unsupervised_model;

CREATE DIMENSION TABLE "fg_unsupervised_model" AS
SELECT * FROM FellegiSunterTrainer (
  ON (SELECT 1) PARTITION BY 1
  InputTable ('fstrainer_input ')
  ComparisonFields ('jaro1_sim: 0.8', 'ld1_sim:0.8', 'ngram1_sim:0.5',
                    'jw1_sim:0.8')
  InitialP (0.1)
  InitialM (0.9)
  InitialU (0.1)
  Lambda (0.9)
  Mu (0.9)
);