Best-Match Mode Arguments - Teradata Vantage - For Distribution Matching function

Machine Learning Engine Analytic Function Reference
Product
Teradata Vantage
Release Number
8.00
1.0
Published
May 2019
Language
English (United States)
Last Update
2019-11-22
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B700-4003
lifecycle
previous
Product Category
Teradata Vantage™
ValueColumn
Specify the name of the input table column that contains the values of the sample data set.
Tests
[Optional] Specify one to three tests to perform:
test Description
'KS' Kolmogorov-Smirnov test.
'AD' Anderson-Darling test.
'CHISQ' Pearson's Chi-squared test.
Default: All tests
Distributions
[Optional] Specify the reference distributions (which must be continuous) and their parameters. The possible distribution and parameters values for continuous distributions are in the table, Continuous Distributions and Parameters, in Hypothesis-Test Mode Arguments.
Default: All of these distributions:
  • Beta
  • Cauchy
  • CHISQ
  • Exponential
  • F
  • Gamma
  • Lognormal
  • Normal
  • T
  • Triangular
  • Uniformcontinuous
  • Weibull
GroupByColumns
[Optional] Specify the names of the input table columns that contain the group identifications over which to run the test. The function can run multiple tests for different partitions of the data in parallel. If you omit this argument, specify PARTITION BY 1 and omit the GROUP BY clause in the second ON clause.
MinGroupSize
[Optional] Specify the minimum group size. The function ignores groups smaller than the minimum size when calculating statistics.
Default: 50
NumCell
[Optional] Specify the number of cells to make discrete in a continuous distribution. The cell_size must be greater than 3 if distribution is NORMAL; otherwise, it must be greater than 1. The quotient min_group_size/cell_size cannot be less than 5.
If you specify NumCell, you must specify 'CHISQ' in the Tests argument.
Default: 10
Top
[Optional] Specify the number of the top matching distributions for the function to output.
Default: 1