Prediction (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.machinelearning.model.Prediction

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class Prediction
extends Object
implements Serializable, Cloneable, StructuredPojo
```
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.
See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description

Prediction()

Constructors
Constructor and Description
`Prediction()`

Method Summary

All Methods Instance Methods Concrete Methods
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`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`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.
`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`.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - Prediction
```
public Prediction()
```
- Method Detail
  - setPredictedLabel
```
public void setPredictedLabel(String predictedLabel)
```
    The prediction label for either a BINARY or MULTICLASS MLModel.
    
    Parameters:
    
    predictedLabel - The prediction label for either a BINARY or MULTICLASS MLModel.
  - getPredictedLabel
```
public String getPredictedLabel()
```
    The prediction label for either a BINARY or MULTICLASS MLModel.
    
    Returns:
    
    The prediction label for either a BINARY or MULTICLASS MLModel.
  - withPredictedLabel
```
public Prediction withPredictedLabel(String predictedLabel)
```
    The prediction label for either a BINARY or MULTICLASS MLModel.
    
    Parameters:
    
    predictedLabel - The prediction label for either a BINARY or MULTICLASS MLModel.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setPredictedValue
```
public void setPredictedValue(Float predictedValue)
```
    The prediction value for REGRESSION MLModel.
    
    Parameters:
    
    predictedValue - The prediction value for REGRESSION MLModel.
  - getPredictedValue
```
public Float getPredictedValue()
```
    The prediction value for REGRESSION MLModel.
    
    Returns:
    
    The prediction value for REGRESSION MLModel.
  - withPredictedValue
```
public Prediction withPredictedValue(Float predictedValue)
```
    The prediction value for REGRESSION MLModel.
    
    Parameters:
    
    predictedValue - The prediction value for REGRESSION MLModel.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getPredictedScores
```
public Map<String,Float> getPredictedScores()
```
    Returns:
  - setPredictedScores
```
public void setPredictedScores(Map<String,Float> predictedScores)
```
    Parameters:
    
    predictedScores -
  - withPredictedScores
```
public Prediction withPredictedScores(Map<String,Float> predictedScores)
```
    Parameters:
    
    predictedScores -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addPredictedScoresEntry
```
public Prediction addPredictedScoresEntry(String key,
                                          Float value)
```
  - clearPredictedScoresEntries
```
public Prediction clearPredictedScoresEntries()
```
    Removes all the entries added into PredictedScores.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getDetails
```
public Map<String,String> getDetails()
```
    Returns:
  - setDetails
```
public void setDetails(Map<String,String> details)
```
    Parameters:
    
    details -
  - withDetails
```
public Prediction withDetails(Map<String,String> details)
```
    Parameters:
    
    details -
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addDetailsEntry
```
public Prediction addDetailsEntry(String key,
                                  String value)
```
  - clearDetailsEntries
```
public Prediction clearDetailsEntries()
```
    Removes all the entries added into Details.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public Prediction clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

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Class Prediction

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Prediction

Method Detail

setPredictedLabel

getPredictedLabel

withPredictedLabel

setPredictedValue

getPredictedValue

withPredictedValue

getPredictedScores

setPredictedScores

withPredictedScores

addPredictedScoresEntry

clearPredictedScoresEntries

getDetails

setDetails

withDetails

addDetailsEntry

clearDetailsEntries

toString

equals

hashCode

clone

marshall