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target.apidocs.com.google.api.services.bigquery.model.EvaluationMetrics.html Maven / Gradle / Ivy

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com.google.api.services.bigquery.model
Class EvaluationMetrics



java.lang.Object


java.util.AbstractMap<String,Object>


com.google.api.client.util.GenericData


com.google.api.client.json.GenericJson


com.google.api.services.bigquery.model.EvaluationMetrics













All Implemented Interfaces:
Cloneable, Map<String,Object>




public final class EvaluationMetrics
extends com.google.api.client.json.GenericJson
Evaluation metrics of a model. These are either computed on all training data or just the eval
 data based on whether eval data was used during training.

 
 This is the Java data model class that specifies how to parse/serialize into the JSON that is
 transmitted over HTTP when working with the BigQuery API. For a detailed explanation see:
 https://developers.google.com/api-client-library/java/google-http-java-client/json
 

Author:
Google, Inc.












Nested Class Summary




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

Constructors 

Constructor and Description


EvaluationMetrics() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


EvaluationMetrics
clone() 


BinaryClassificationMetrics
getBinaryClassificationMetrics()
Populated for binary classification models.



ClusteringMetrics
getClusteringMetrics()
[Beta] Populated for clustering models.



MultiClassClassificationMetrics
getMultiClassClassificationMetrics()
Populated for multi-class classification models.



RegressionMetrics
getRegressionMetrics()
Populated for regression models.



EvaluationMetrics
set(String fieldName,
   Object value) 


EvaluationMetrics
setBinaryClassificationMetrics(BinaryClassificationMetrics binaryClassificationMetrics)
Populated for binary classification models.



EvaluationMetrics
setClusteringMetrics(ClusteringMetrics clusteringMetrics)
[Beta] Populated for clustering models.



EvaluationMetrics
setMultiClassClassificationMetrics(MultiClassClassificationMetrics multiClassClassificationMetrics)
Populated for multi-class classification models.



EvaluationMetrics
setRegressionMetrics(RegressionMetrics regressionMetrics)
Populated for regression models.







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





Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll














Constructor Detail





EvaluationMetrics
public EvaluationMetrics()









Method Detail





getBinaryClassificationMetrics
public BinaryClassificationMetrics getBinaryClassificationMetrics()
Populated for binary classification models.

Returns:
value or null for none








setBinaryClassificationMetrics
public EvaluationMetrics setBinaryClassificationMetrics(BinaryClassificationMetrics binaryClassificationMetrics)
Populated for binary classification models.

Parameters:
binaryClassificationMetrics - binaryClassificationMetrics or null for none








getClusteringMetrics
public ClusteringMetrics getClusteringMetrics()
[Beta] Populated for clustering models.

Returns:
value or null for none








setClusteringMetrics
public EvaluationMetrics setClusteringMetrics(ClusteringMetrics clusteringMetrics)
[Beta] Populated for clustering models.

Parameters:
clusteringMetrics - clusteringMetrics or null for none








getMultiClassClassificationMetrics
public MultiClassClassificationMetrics getMultiClassClassificationMetrics()
Populated for multi-class classification models.

Returns:
value or null for none








setMultiClassClassificationMetrics
public EvaluationMetrics setMultiClassClassificationMetrics(MultiClassClassificationMetrics multiClassClassificationMetrics)
Populated for multi-class classification models.

Parameters:
multiClassClassificationMetrics - multiClassClassificationMetrics or null for none








getRegressionMetrics
public RegressionMetrics getRegressionMetrics()
Populated for regression models.

Returns:
value or null for none








setRegressionMetrics
public EvaluationMetrics setRegressionMetrics(RegressionMetrics regressionMetrics)
Populated for regression models.

Parameters:
regressionMetrics - regressionMetrics or null for none








set
public EvaluationMetrics set(String fieldName,
                             Object value)

Overrides:
set in class com.google.api.client.json.GenericJson








clone
public EvaluationMetrics clone()

Overrides:
clone in class com.google.api.client.json.GenericJson














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