public class ModelMetricsBinomialV3<I extends ModelMetricsBinomial,S extends ModelMetricsBinomialV3<I,S>> extends ModelMetricsBaseV3<I,S>
SchemaV3.Meta
Schema.AutoParseable
Modifier and Type | Field and Description |
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double |
AUC |
ConfusionMatrixV3 |
cm |
java.lang.String[] |
domain |
TwoDimTableV3 |
gains_lift_table |
double |
Gini |
double |
logloss |
TwoDimTableV3 |
max_criteria_and_metric_scores |
double |
mean_per_class_error |
double |
pr_auc |
double |
r2 |
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 |
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ModelMetricsBinomialV3() |
Modifier and Type | Method and Description |
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S |
fillFromImpl(ModelMetricsBinomial 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 logarithmic loss for this scoring run.", direction=OUTPUT) public double logloss
@API(help="The precision-recall AUC for this scoring run.", direction=OUTPUT) public double pr_auc
@API(help="The mean misclassification error per class.", direction=OUTPUT) public double mean_per_class_error
@API(help="The class labels of the response.", direction=OUTPUT) public java.lang.String[] domain
@API(help="The ConfusionMatrix at the threshold for maximum F1.", direction=OUTPUT) public ConfusionMatrixV3 cm
@API(help="The Metrics for various thresholds.", direction=OUTPUT, level=expert) public TwoDimTableV3 thresholds_and_metric_scores
@API(help="The Metrics for various criteria.", direction=OUTPUT, level=secondary) public TwoDimTableV3 max_criteria_and_metric_scores
public S fillFromImpl(ModelMetricsBinomial modelMetrics)
Schema
fillFromImpl
in class Schema<I extends ModelMetricsBinomial,S extends ModelMetricsBinomialV3<I,S>>