public class ModelMetricsMakerSchemaV3 extends SchemaV3
| Modifier and Type | Field and Description |
|---|---|
java.lang.String |
actualsFrame
Actuals Frame.
|
MultinomialAucType |
aucType
Default AUC type (for multinomial classification).
|
int |
auucNbins
Number of bins to calculate AUUC (for uplift binomial classification).
|
AUUCType |
auucType
Default AUUC type (for uplift binomial classification).
|
double[] |
customAuucThresholds
Custom AUUC thresholds (for uplift binomial classification).
|
GenmodelutilsDistributionFamily |
distribution
Distribution (for regression).
|
java.lang.String[] |
domain
Domain (for classification).
|
ModelMetricsBaseV3 |
modelMetrics
Model Metrics.
|
java.lang.String |
predictionsFrame
Predictions Frame.
|
java.lang.String |
treatmentFrame
Treatment Frame.
|
java.lang.String |
weightsFrame
Weights Frame.
|
| Constructor and Description |
|---|
ModelMetricsMakerSchemaV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
@SerializedName(value="predictions_frame") public java.lang.String predictionsFrame
@SerializedName(value="actuals_frame") public java.lang.String actualsFrame
@SerializedName(value="weights_frame") public java.lang.String weightsFrame
@SerializedName(value="treatment_frame") public java.lang.String treatmentFrame
public java.lang.String[] domain
public GenmodelutilsDistributionFamily distribution
@SerializedName(value="auc_type") public MultinomialAucType aucType
@SerializedName(value="auuc_type") public AUUCType auucType
@SerializedName(value="auuc_nbins") public int auucNbins
@SerializedName(value="custom_auuc_thresholds") public double[] customAuucThresholds
@SerializedName(value="model_metrics") public ModelMetricsBaseV3 modelMetrics