public class ModelMetricsOrdinalV3<I extends ModelMetricsOrdinal,S extends ModelMetricsOrdinalV3<I,S>> extends ModelMetricsBaseV3<I,S>
SchemaV3.Meta
Schema.AutoParseable
Modifier and Type | Field and Description |
---|---|
ConfusionMatrixV3 |
cm |
TwoDimTableV3 |
hit_ratio_table |
double |
logloss |
double |
mean_per_class_error |
double |
r2 |
custom_metric_name, custom_metric_value, description, frame, frame_checksum, model, model_category, model_checksum, MSE, nobs, predictions, RMSE, scoring_time
Constructor and Description |
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ModelMetricsOrdinalV3() |
Modifier and Type | Method and Description |
---|---|
S |
fillFromImpl(I 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 hit ratio table for this scoring run.", direction=OUTPUT, level=expert) public TwoDimTableV3 hit_ratio_table
@API(help="The ConfusionMatrix object for this scoring run.", direction=OUTPUT) public ConfusionMatrixV3 cm
@API(help="The logarithmic loss for this scoring run.", direction=OUTPUT) public double logloss
public S fillFromImpl(I modelMetrics)
Schema
fillFromImpl
in class Schema<I extends ModelMetricsOrdinal,S extends ModelMetricsOrdinalV3<I,S>>