7.00.02 - LARS Arguments - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
Last Update
2018-04-17
InputTable
Specifies the name of the input table.
OutputTable
Specifies the name of the output table.
InputColumns
Specifies the names of the columns of the input table that contain the response and predictors.

The syntax of predictor_columns is:

{col[,...] | [start_column:end_column]}[,...]

where col is a column name and start_column and end_column are the column indexes of the first and last columns in a range of columns. The range includes start_column and end_column.

The leftmost column has column index 0, the column to its immediate right has column index 1, and so on.

  • In a column range, brackets do not indicate optional elements. You must include the bracket characters (for example, '[2:6]').
  • This function can take at most 799 response and predictor variables.
Method
[Optional] Specifies the method to use for linear regression. Default: 'lasso'.
Intercept
[Optional] Specifies whether an intercept is included in the model (and not penalized). Default: 'true'.
Normalize
[Optional] Specifies whether each predictor is standardized to have unit L2 norm. Default: 'true'.
MaxIterNum
[Optional] Specifies the maximum number of steps the function runs. Default: 8*min(number_of_predictors, sample_size - intercept). For example, if the number of predictors is 11, the sample size (number of rows in the input table) is 1532, and the intercept is 1, then the default value is 8*min(11, 1532 - 1) = 88.