The function outputs a message and a model table.
Output Message Schema
Column | Data Type | Description |
---|---|---|
message | VARCHAR | Reports parameter values used to train model. |
OutputTable Schema
The function saves this model table to output_table, whose default value is xgboost_model in the current schema.
The schema is the same for dense and sparse input.
Column | Data Type | Description |
---|---|---|
tree_id | INTEGER | Identifier of boosted tree. Number of unique tree_id values depends on NumBoostedTrees syntax element value and number of vworkers. |
iter | INTEGER | Iteration (boosting round) number. |
class_num | INTEGER | Index of class column to predict. For LossFunction ('softmax'), the default: Number of unique class_num values is number of class labels in data set. For K class labels: class_num values are the integers in range [0, K-1]. For LossFunction('binomial'): There is only one class_num value. |
tree | CLOB | JSON representation of decision tree. One row contains metadata about model. For JSON types that can appear in tree representation, see DecisionForest Output. |
region_prediction | CLOB | JSON representation of predicted values assigned to each region (leaf) of tree. |