Input - 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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AA-notempfilter_pdf_output.ditaval
dita:id
B700-1022
Product Category
Software

The input table, customer_loyalty_newseq, is a collection of three new test sequences (seq_id 4, 5, 6) for user_id 1. HMMSupervisedLearner trained multiple users and obtained the trained model files (pi_loyalty, A_loyalty and B_loyalty). This example uses these model files with the input to determine the loyalty levels of customers from the new sequence of purchases. The loyalty levels are low (L), normal (N), and high (H).

HMMEncoder Example 2 Input Table customer_loyalty_newseq
id user_id seq_id purchase_date observation
301 1 4 2014-05-01 LL
302 1 4 2014-05-02 LS
303 1 4 2014-05-03 SS
304 1 4 2014-05-04 SM
305 1 4 2014-05-05 LL
306 1 4 2014-05-06 ML
307 1 4 2014-05-07 SS
308 1 4 2014-05-08 MM
309 1 4 2014-05-09 MS
310 1 4 2014-05-10 ML
311 1 5 2014-05-01 ML
312 1 5 2014-05-02 SM
313 1 5 2014-05-03 MS
314 1 5 2014-05-04 MS
315 1 5 2014-05-05 SS
316 1 5 2014-05-06 MS
317 1 5 2014-05-07 ML
318 1 5 2014-05-08 MM
319 1 5 2014-05-09 SM
320 1 5 2014-05-10 SM
321 1 6 2014-05-01 SM
322 1 6 2014-05-02 MS
323 1 6 2014-05-03 SS
324 1 6 2014-05-04 LM
325 1 6 2014-05-05 SL
326 1 6 2014-05-06 SS
327 1 6 2014-05-07 SS
328 1 6 2014-05-08 SM
329 1 6 2014-05-09 LS
330 1 6 2014-05-10 LS