7.00.02 - 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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The input data used to train the two models are shown in the following table.

HMMUnsupervisedLearner Example Input Table loan_prediction
model_id seq_id seq_vertex_id observed_id
1 1 0 1
1 1 1 1
1 1 2 1
1 1 3 1
1 1 4 1
1 1 5 1
1 1 6 1
1 1 7 1
1 1 8 1
1 1 9 1
1 1 10 1
1 1 11 1
1 1 12 4
1 1 13 5
1 1 14 6
1 1 15 6
1 1 16 6
1 1 17 7
...      
2 1 0 1
2 1 1 1
2 1 2 1
2 1 3 1
2 1 4 1
2 1 5 1
2 1 6 1
2 1 7 1
2 1 8 1
2 1 9 1
2 1 10 1
2 1 11 1
2 1 12 8

The status of the loan is shown in the model_id column, where 1 identifies a defaulted loan and 2 identifies a paid loan. Rows with the same model id are used to train a single model. The use of two model ids ensures that two different models are trained. Also notice that the defaulted loans end with observed_id=7 and paid loans end with observed_id=8. The seq_vertex_id column provides the ordering of the symbols in the sequences.