@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class Prediction extends Object implements Serializable, Cloneable
The output from a Predict operation:
Details - Contains the following attributes:
DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS
DetailsAttributes.ALGORITHM - SGD
PredictedLabel - Present for either a BINARY or MULTICLASS
MLModel request.
PredictedScores - Contains the raw classification score corresponding to each label.
PredictedValue - Present for a REGRESSION MLModel request.
| Constructor and Description |
|---|
Prediction() |
| Modifier and Type | Method and Description |
|---|---|
Prediction |
addDetailsEntry(String key,
String value) |
Prediction |
addPredictedScoresEntry(String key,
Float value) |
Prediction |
clearDetailsEntries()
Removes all the entries added into Details.
|
Prediction |
clearPredictedScoresEntries()
Removes all the entries added into PredictedScores.
|
Prediction |
clone() |
boolean |
equals(Object obj) |
Map<String,String> |
getDetails() |
String |
getPredictedLabel()
The prediction label for either a
BINARY or MULTICLASS MLModel. |
Map<String,Float> |
getPredictedScores() |
Float |
getPredictedValue()
The prediction value for
REGRESSION MLModel. |
int |
hashCode() |
void |
setDetails(Map<String,String> details) |
void |
setPredictedLabel(String predictedLabel)
The prediction label for either a
BINARY or MULTICLASS MLModel. |
void |
setPredictedScores(Map<String,Float> predictedScores) |
void |
setPredictedValue(Float predictedValue)
The prediction value for
REGRESSION MLModel. |
String |
toString()
Returns a string representation of this object; useful for testing and debugging.
|
Prediction |
withDetails(Map<String,String> details) |
Prediction |
withPredictedLabel(String predictedLabel)
The prediction label for either a
BINARY or MULTICLASS MLModel. |
Prediction |
withPredictedScores(Map<String,Float> predictedScores) |
Prediction |
withPredictedValue(Float predictedValue)
The prediction value for
REGRESSION MLModel. |
public void setPredictedLabel(String predictedLabel)
The prediction label for either a BINARY or MULTICLASS MLModel.
predictedLabel - The prediction label for either a BINARY or MULTICLASS MLModel.public String getPredictedLabel()
The prediction label for either a BINARY or MULTICLASS MLModel.
BINARY or MULTICLASS MLModel.public Prediction withPredictedLabel(String predictedLabel)
The prediction label for either a BINARY or MULTICLASS MLModel.
predictedLabel - The prediction label for either a BINARY or MULTICLASS MLModel.public void setPredictedValue(Float predictedValue)
REGRESSION MLModel.predictedValue - The prediction value for REGRESSION MLModel.public Float getPredictedValue()
REGRESSION MLModel.REGRESSION MLModel.public Prediction withPredictedValue(Float predictedValue)
REGRESSION MLModel.predictedValue - The prediction value for REGRESSION MLModel.public void setPredictedScores(Map<String,Float> predictedScores)
predictedScores - public Prediction withPredictedScores(Map<String,Float> predictedScores)
predictedScores - public Prediction addPredictedScoresEntry(String key, Float value)
public Prediction clearPredictedScoresEntries()
public Prediction withDetails(Map<String,String> details)
details - public Prediction addDetailsEntry(String key, String value)
public Prediction clearDetailsEntries()
public String toString()
toString in class ObjectObject.toString()public Prediction clone()
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