public class TargetEncoderModelOutputV3 extends water.api.schemas3.ModelOutputSchemaV3<TargetEncoderModel.TargetEncoderOutput,TargetEncoderModelOutputV3>
| Modifier and Type | Class and Description |
|---|---|
static class |
TargetEncoderModelOutputV3.ColumnsMappingV3 |
| Modifier and Type | Field and Description |
|---|---|
TargetEncoderModelOutputV3.ColumnsMappingV3[] |
input_to_output_columns |
column_types, cross_validation_fold_assignment_frame_id, cross_validation_holdout_predictions_frame_id, cross_validation_metrics, cross_validation_metrics_summary, cross_validation_models, cross_validation_predictions, cv_scoring_history, default_threshold, domains, end_time, help, model_category, model_summary, names, original_names, reproducibility_information_table, run_time, scoring_history, start_time, status, training_metrics, validation_metrics| Constructor and Description |
|---|
TargetEncoderModelOutputV3() |
createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall@API(help="Mapping between input column(s) and their corresponding target encoded output column(s). Please note that there can be multiple columns on the input/from side if columns grouping was used, and there can also be multiple columns on the output/to side if the target was multiclass.",
direction=OUTPUT)
public TargetEncoderModelOutputV3.ColumnsMappingV3[] input_to_output_columns