- OutputTable
- Specify the name for the output table of coefficients. This table must not exist.
- TargetColumns
- [Optional] Specify the name of the column that contains the dependent variable (Y) followed by the names of the columns that contain the predictor variables (Xi), in this format: 'Y,X1,X2,...,Xp'.
- CategoricalColumns
- [Optional] Specify columnname-value pairs, each of which contains the name of a categorical input column and the category values in that column that the function is to include in the model that it creates.
columnname_value_pair Description 'columnname:max_cardinality' Limits categories in column to max_cardinality to most common ones and groups others together as 'others'. For example, 'column_a:3' specifies that for column_a, function uses 3 most common categories and sets category of rows that do not belong to those 3 categories to 'others'.
'columnname:(category [,...])' Limits categories in column to those that you specify and groups others together as 'others'. For example, 'column_a : (red, yellow, blue)' specifies that for column_a, function uses categories red, yellow, and blue, and sets category of rows that do not belong to those categories to 'others'.
'columnname' All category values appear in model. - Family
- [Optional] Specify the distribution exponential family, which is one of the following:
- 'BINOMIAL' (Default)
- 'LOGISTIC' (equivalent to 'BINOMIAL')
- 'POISSON'
- 'GAUSSIAN'
- 'GAMMA'
- 'INVERSE_GAUSSIAN'
- 'NEGATIVE_BINOMIAL'
- LinkFunction
- [Optional] Specify the link function.
- WeightColumn
- [Optional] Specify the name of an InputTable column that contains the weights to assign to responses.
- StopThreshold
- [Optional] Specify the convergence threshold.
- MaxIterNum
- [Optional] Specify the maximum number of iterations that the algorithm runs before quitting if the convergence threshold has not been met. The parameter max_iterations must be a positive INTEGER value.
- Intercept
- [Optional] Specify whether the function uses an intercept. For example, in ß0+ß1*X1+ß2*X2+ ....+ ßpXp, the intercept is ß0.