Prediction API v1.2 (revision 25)

com.google.api.services.prediction.model
Class Training.ModelInfo

java.lang.Object
  java.util.AbstractMap<String,Object>
      com.google.api.client.util.GenericData
          com.google.api.client.json.GenericJson
              com.google.api.services.prediction.model.Training.ModelInfo

All Implemented Interfaces:

Cloneable, Map<String,Object>

Enclosing class:

Training

public static final class Training.ModelInfo
extends GenericJson

Model definition for TrainingModelInfo.

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

GenericData.Flags

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Constructor Summary

Training.ModelInfo()

Method Summary

Training.ModelInfo	clone()
Double	getClassificationAccuracy()
Double	getMeanSquaredError()
String	getModelType()
Training.ModelInfo	set(String fieldName, Object value)
Training.ModelInfo	setClassificationAccuracy(Double classificationAccuracy)
Training.ModelInfo	setMeanSquaredError(Double meanSquaredError)
Training.ModelInfo	setModelType(String modelType)

Methods inherited from class com.google.api.client.json.GenericJson

getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData

entrySet, get, getClassInfo, getUnknownKeys, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap

clear, containsKey, containsValue, equals, hashCode, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Training.ModelInfo

public Training.ModelInfo()

Method Detail

getClassificationAccuracy

public Double getClassificationAccuracy()

Returns:

value or null for none

setClassificationAccuracy

public Training.ModelInfo setClassificationAccuracy(Double classificationAccuracy)

Parameters:

classificationAccuracy - classificationAccuracy or null for none

getMeanSquaredError

public Double getMeanSquaredError()

Returns:

value or null for none

setMeanSquaredError

public Training.ModelInfo setMeanSquaredError(Double meanSquaredError)

Parameters:

meanSquaredError - meanSquaredError or null for none

getModelType

public String getModelType()

Returns:

value or null for none

setModelType

public Training.ModelInfo setModelType(String modelType)

Parameters:

modelType - modelType or null for none

set

public Training.ModelInfo set(String fieldName,
                              Object value)

Overrides:

set in class GenericJson

clone

public Training.ModelInfo clone()

Overrides:

clone in class GenericJson