7.00.02 - Input - 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)
  • Data table below, diabetes_test, obtained by a 20% sampling rate (88 rows) from the table, diabetes (from the Input section of the Examples for the function LARS.
  • Model file, diabetes_lars, found in the Output section of the LARS function, Example 1
    LarsPredict Example Data Table diabetes_test (Columns 1-6)
    id age sex bmi map tc
    3 0.0852989 0.0506801 0.0444512 -0.00567061 -0.0455994
    6 -0.0926955 -0.0446416 -0.0406959 -0.0194421 -0.0689906
    8 0.0635037 0.0506801 -0.00189471 0.0666297 0.0906199
    13 0.0162807 -0.0446416 -0.02884 -0.00911348 -0.00432087
    14 0.00538306 0.0506801 -0.00189471 0.00810087 -0.00432087
    17 -0.00551456 -0.0446416 0.0422956 0.0494153 0.0245741
    26 -0.0672677 0.0506801 -0.0126728 -0.0400993 -0.0153285
    28 -0.0236772 -0.0446416 0.0595406 -0.0400993 -0.0428475
    30 0.0671362 0.0506801 -0.00620595 0.0631868 -0.0428475
    33 0.0344434 0.0506801 0.125287 0.0287581 -0.0538552
    35 0.0162807 -0.0446416 -0.06333 -0.0573137 -0.057983
    ... ... ... ... ... ...
    LarsPredict Example Data Table diabetes_test (Columns 7-12)
    ldl hdl tch ltg glu y
    -0.0341945 -0.0323559 -0.00259226 0.00286377 -0.0259303 141
    -0.0792878 0.0412768 -0.0763945 -0.0411804 -0.0963462 97
    0.108914 0.0228686 0.0177034 -0.0358167 0.00306441 63
    -0.00976889 0.0449585 -0.0394934 -0.0307512 -0.0424988 179
    -0.0157187 -0.00290283 -0.00259226 0.0383932 -0.013504 185
    -0.0238606 0.0744116 -0.0394934 0.05228 0.0279171 166
    0.00463594 -0.0581274 0.0343089 0.019199 -0.0342146 202
    -0.0435889 0.0118237 -0.0394934 -0.0159983 0.0403434 85
    -0.0958847 0.0523217 -0.0763945 0.0594238 0.0527697 283
    -0.0129004 -0.102307 0.108111 0.000271486 0.0279171 341
    -0.0489124 0.00814208 -0.0394934 -0.0594727 -0.0673514 65