7.00.02 - GMMPredict 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)
OutputFormat
[Optional] Specifies how the function outputs the weights that it assigns to each of the top N clusters:
  • 'sparse' (Default):

    The function outputs each weight to a separate row of the output table.

  • 'dense':

    The function outputs the weights to a single row of the output table.

TopNClusters
[Optional] Specifies the number of cluster weights that the function outputs. This value must be an INTEGER. For the value n, the function outputs for each data point the cluster with the greatest weight, the cluster with the second-greatest weight, and so on, ending with the cluster with the kth-greatest weight. Default: 1.
PrintLogLikelihood
[Optional] Specifies whether to output the log likelihood of an observation, given the data. Default: 'false'.
Accumulate
[Optional] Specifies the names of testdata columns to copy to the output table.
Attributes
[Optional] Specifies the names of testdata columns that correspond to the attributes in the modeldata table. Default: All testdata columns except the first.
IDColumn
[Optional] Specifies the input table column that defines the row identifier. Default: First input table column.