- OutputTable
- Specify the name of the output table.
- TargetColumns
- Specify the names of the columns of the InputTable that contain the response and predictors.
This is the syntax of predictor_columns:
{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.
- FitMethod
- [Optional] Specify the method to use for linear regression.
- Intercept
- [Optional] Specify whether an intercept is included in the model (and not penalized).
- L2Normalization
- [Optional] Specify whether each predictor is standardized to have unit L2 norm.
- MaxIterNum
- [Optional] Specify the maximum number of steps the function runs.