public class ModelMetricsBinomialV3<I extends ModelMetricsBinomial,S extends ModelMetricsBinomialV3<I,S>> extends ModelMetricsBase<I,S>
Schema.Meta
Modifier and Type | Field and Description |
---|---|
double |
AUC |
java.lang.String[] |
domain |
double |
Gini |
double |
logloss |
TwoDimTableBase |
max_criteria_and_metric_scores |
double |
r2 |
TwoDimTableBase |
thresholds_and_metric_scores |
description, frame, frame_checksum, model, model_category, model_checksum, MSE, predictions, scoring_time
__meta, _impl_class, _version_pattern, EXCLUDE_FIELDS, INCLUDE_FIELDS
Constructor and Description |
---|
ModelMetricsBinomialV3() |
Modifier and Type | Method and Description |
---|---|
ModelMetricsBinomialV3 |
fillFromImpl(ModelMetricsBinomial modelMetrics)
Version and Schema-specific filling from the implementation object.
|
fillFromImpl
acceptsFrame, createAndFillImpl, createImpl, extractVersion, fillFromParms, fillImpl, getExperimentalVersion, getHighestSupportedVersion, getImplClass, getImplClass, getLatestVersion, getSchemaVersion, markdown, markdown, markdown, markdown, newInstance, register, registerAllSchemasIfNecessary, schema, schema, schema, schema, schema, schemaClass, schemaClass, schemaClass, schemaClass, schemas
clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON
@API(help="The logarithmic loss for this scoring run.", direction=OUTPUT) public double logloss
@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 TwoDimTableBase thresholds_and_metric_scores
public ModelMetricsBinomialV3 fillFromImpl(ModelMetricsBinomial modelMetrics)
Schema
fillFromImpl
in class Schema<I extends ModelMetricsBinomial,S extends ModelMetricsBinomialV3<I,S>>