TD_SVMPredict accepts two inputs:
- InputTable containing test input data set.
- ModelTable containing an SVM model trained by TD_SVM.
TD_SVMPredict InputTable Schema
| Column Name | Data Type | Description |
|---|---|---|
| id_column | ANY | Unique row identifier of input observations. |
| target_column | INTEGER, BIGINT, SMALLINT, BYTEINT, DOUBLE PRECISION | Column used as predictors (features) for model training. |
| accumulate_column | ANY | Columns to copy to output table. |
TD_SVMPredict Model Table Schema
| Column Name | Data Type | Description |
|---|---|---|
| attribute | SMALLINT | Contains a numeric index of predictor and model metrics. Intercept is specified using index 0 and rest of the predictors have positive values. Model metrics take negative indices. |
| predictor | VARCHAR | Contains the name of the predictor or model metric. |
| estimate | FLOAT | Columns to copy to output table. Contains the predictor weights and metric numeric values. |
| value | VARCHAR | Contains the string values of the metric. |