@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class OFIModelPerformance extends Object implements Serializable, Cloneable, StructuredPojo
The Online Fraud Insights (OFI) model performance score.
Constructor and Description |
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OFIModelPerformance() |
Modifier and Type | Method and Description |
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OFIModelPerformance |
clone() |
boolean |
equals(Object obj) |
Float |
getAuc()
The area under the curve (auc).
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UncertaintyRange |
getUncertaintyRange()
Indicates the range of area under curve (auc) expected from the OFI model.
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int |
hashCode() |
void |
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller . |
void |
setAuc(Float auc)
The area under the curve (auc).
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void |
setUncertaintyRange(UncertaintyRange uncertaintyRange)
Indicates the range of area under curve (auc) expected from the OFI model.
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String |
toString()
Returns a string representation of this object.
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OFIModelPerformance |
withAuc(Float auc)
The area under the curve (auc).
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OFIModelPerformance |
withUncertaintyRange(UncertaintyRange uncertaintyRange)
Indicates the range of area under curve (auc) expected from the OFI model.
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public void setAuc(Float auc)
The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate (FPR) across all possible model score thresholds.
auc
- The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate
(FPR) across all possible model score thresholds.public Float getAuc()
The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate (FPR) across all possible model score thresholds.
public OFIModelPerformance withAuc(Float auc)
The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate (FPR) across all possible model score thresholds.
auc
- The area under the curve (auc). This summarizes the total positive rate (tpr) and false positive rate
(FPR) across all possible model score thresholds.public void setUncertaintyRange(UncertaintyRange uncertaintyRange)
Indicates the range of area under curve (auc) expected from the OFI model. A range greater than 0.1 indicates higher model uncertainity.
uncertaintyRange
- Indicates the range of area under curve (auc) expected from the OFI model. A range greater than 0.1
indicates higher model uncertainity.public UncertaintyRange getUncertaintyRange()
Indicates the range of area under curve (auc) expected from the OFI model. A range greater than 0.1 indicates higher model uncertainity.
public OFIModelPerformance withUncertaintyRange(UncertaintyRange uncertaintyRange)
Indicates the range of area under curve (auc) expected from the OFI model. A range greater than 0.1 indicates higher model uncertainity.
uncertaintyRange
- Indicates the range of area under curve (auc) expected from the OFI model. A range greater than 0.1
indicates higher model uncertainity.public String toString()
toString
in class Object
Object.toString()
public OFIModelPerformance clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
- Implementation of ProtocolMarshaller
used to marshall this object's data.