public static final class InfogramModelV3.InfogramModelOutputV3 extends water.api.schemas3.ModelOutputSchemaV3<InfogramModel.InfogramModelOutput,InfogramModelV3.InfogramModelOutputV3>
| Modifier and Type | Field and Description |
|---|---|
double[] |
admissible_cmi |
double[] |
admissible_cmi_raw |
java.lang.String[] |
admissible_features |
java.lang.String[] |
admissible_features_valid |
java.lang.String[] |
admissible_features_xval |
double[] |
admissible_relevance |
java.lang.String[] |
all_predictor_names |
double[] |
cmi |
double[] |
cmi_raw |
double[] |
relevance |
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 |
|---|
InfogramModelOutputV3() |
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="Array of conditional mutual information for admissible features normalized to 0.0 and 1.0",
direction=OUTPUT)
public double[] admissible_cmi
@API(help="Array of conditional mutual information for admissible features raw and not normalized to 0.0 and 1.0",
direction=OUTPUT)
public double[] admissible_cmi_raw
@API(help="Array of variable importance for admissible features",
direction=OUTPUT)
public double[] admissible_relevance
@API(help="Array containing names of admissible features for the user",
direction=OUTPUT)
public java.lang.String[] admissible_features
@API(help="Array containing names of admissible features for the user from the validation dataset.",
direction=OUTPUT)
public java.lang.String[] admissible_features_valid
@API(help="Array containing names of admissible features for the user from cross-validation.",
direction=OUTPUT)
public java.lang.String[] admissible_features_xval
@API(help="Array of raw conditional mutual information for all features excluding sensitive attributes if applicable",
direction=OUTPUT)
public double[] cmi_raw
@API(help="Array of conditional mutual information for all features excluding sensitive attributes if applicable normalized to 0.0 and 1.0",
direction=OUTPUT)
public double[] cmi
@API(help="Array containing names of all features excluding sensitive attributes if applicable corresponding to CMI and relevance",
direction=OUTPUT)
public java.lang.String[] all_predictor_names
@API(help="Array of variable importance for all features excluding sensitive attributes if applicable",
direction=OUTPUT)
public double[] relevance