public class ModelMetricsBinomialUpliftV3<I extends ModelMetricsBinomialUplift,S extends ModelMetricsBinomialUpliftV3<I,S>> extends ModelMetricsBaseV3<I,S>
SchemaV3.Meta
Schema.AutoParseable
Modifier and Type | Field and Description |
---|---|
TwoDimTableV3 |
aecu_table |
double |
AUUC |
double |
auuc_normalized |
TwoDimTableV3 |
auuc_table |
java.lang.String[] |
domain |
double |
qini |
TwoDimTableV3 |
thresholds_and_metric_scores |
custom_metric_name, custom_metric_value, description, frame, frame_checksum, model, model_category, model_checksum, MSE, nobs, predictions, RMSE, scoring_time
Constructor and Description |
---|
ModelMetricsBinomialUpliftV3() |
Modifier and Type | Method and Description |
---|---|
S |
fillFromImpl(ModelMetricsBinomialUplift modelMetrics)
Fill this Schema from the given implementation object.
|
fillFromImpl
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
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal
@API(help="The default normalized AUUC for this scoring run.", direction=OUTPUT) public double auuc_normalized
@API(help="The class labels of the response.", direction=OUTPUT) public java.lang.String[] domain
@API(help="The metrics for various thresholds.", direction=OUTPUT, level=expert) public TwoDimTableV3 thresholds_and_metric_scores
@API(help="Table of all types of AUUC.", direction=OUTPUT, level=secondary) public TwoDimTableV3 auuc_table
public S fillFromImpl(ModelMetricsBinomialUplift modelMetrics)
Schema
fillFromImpl
in class Schema<I extends ModelMetricsBinomialUplift,S extends ModelMetricsBinomialUpliftV3<I,S>>