| InputTable |
Required |
Specifies the name of the table that contains the input parameters. |
| FeatureColumns |
Required |
Specifies the names of the input table columns that contain the features of the input parameters. |
| CategoricalColumns |
Optional |
Specifies the names of the input table columns that contain categorical predictors. Each categorical_column must also be a feature_column. By default, the function detects the categorical columns by their SQL data types. |
| TimeIntervalColumn |
Required |
Specifies the name of the column in input_table that contains the time intervals of the input parameters; that is, end_time - start_time, in any unit of time (for example, years, months, or days). |
| EventColumn |
Required |
Specifies the name of the column in input_table that contains 1 if the event occurred by end_time and 0 if it did not. (0 represents survival or right-censorship.) The function ignores values other than 1 and 0. |
| CoefficientTable |
Required |
Specifies the name of the table where the function outputs the estimated coefficients of the input parameters. |
| LinearPredictorTable |
Required |
Specifies the name of the table where the function outputs the product ßX. |
| Threshold |
Optional |
Specifies the convergence threshold. The default value is 0.000000001. |
| MaxIterNum |
Optional |
Specifies the maximum number of iterations that the function runs before finishing, if the convergence threshold has not been met. The default value is 10. |
| Accumulate |
Optional |
Specifies the names of the columns in input_table that the function copies to linear_predictor_table. |