Model Output Table Schema
Column | 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 have negative indices. |
predictor | VARCHAR | Contains the name of the predictor or model metric. |
estimate | FLOAT | Contains the predictor weights and numeric-based metric values. |
value | VARCHAR | Contains the string-based metric values for example, HINGE for LossFunction, L2 for Regularization, and so on. |
MetaInformationTable Output Table Schema [Optional]
Column | Data Type | Description |
---|---|---|
iteration | INTEGER | Contains the iteration number (epoch number). |
num_rows | BIGINT | Contains the total number of rows processed so far. |
eta | FLOAT | Contains the learning rate for the iteration. |
loss | FLOAT | Contains loss in this iteration. |
best_loss | FLOAT | Contains best loss till this iteration. |