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



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.Model













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




public final class Model
extends com.google.api.client.json.GenericJson
Model definition for Model.

 
 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


Model() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


Model
clone() 


Long
getBestTrialId()
The best trial_id across all training runs.



Long
getCreationTime()
Output only.



Long
getDefaultTrialId()
Output only.



String
getDescription()
Optional.



EncryptionConfiguration
getEncryptionConfiguration()
Custom encryption configuration (e.g., Cloud KMS keys).



String
getEtag()
Output only.



Long
getExpirationTime()
Optional.



List<StandardSqlField>
getFeatureColumns()
Output only.



String
getFriendlyName()
Optional.



HparamSearchSpaces
getHparamSearchSpaces()
Output only.



List<HparamTuningTrial>
getHparamTrials()
Output only.



List<StandardSqlField>
getLabelColumns()
Output only.



Map<String,String>
getLabels()
The labels associated with this model.



Long
getLastModifiedTime()
Output only.



String
getLocation()
Output only.



ModelReference
getModelReference()
Required.



String
getModelType()
Output only.



List<Long>
getOptimalTrialIds()
Output only.



RemoteModelInfo
getRemoteModelInfo()
Output only.



List<TrainingRun>
getTrainingRuns()
Information for all training runs in increasing order of start_time.



List<TransformColumn>
getTransformColumns()
Output only.



Model
set(String fieldName,
   Object value) 


Model
setBestTrialId(Long bestTrialId)
The best trial_id across all training runs.



Model
setCreationTime(Long creationTime)
Output only.



Model
setDefaultTrialId(Long defaultTrialId)
Output only.



Model
setDescription(String description)
Optional.



Model
setEncryptionConfiguration(EncryptionConfiguration encryptionConfiguration)
Custom encryption configuration (e.g., Cloud KMS keys).



Model
setEtag(String etag)
Output only.



Model
setExpirationTime(Long expirationTime)
Optional.



Model
setFeatureColumns(List<StandardSqlField> featureColumns)
Output only.



Model
setFriendlyName(String friendlyName)
Optional.



Model
setHparamSearchSpaces(HparamSearchSpaces hparamSearchSpaces)
Output only.



Model
setHparamTrials(List<HparamTuningTrial> hparamTrials)
Output only.



Model
setLabelColumns(List<StandardSqlField> labelColumns)
Output only.



Model
setLabels(Map<String,String> labels)
The labels associated with this model.



Model
setLastModifiedTime(Long lastModifiedTime)
Output only.



Model
setLocation(String location)
Output only.



Model
setModelReference(ModelReference modelReference)
Required.



Model
setModelType(String modelType)
Output only.



Model
setOptimalTrialIds(List<Long> optimalTrialIds)
Output only.



Model
setRemoteModelInfo(RemoteModelInfo remoteModelInfo)
Output only.



Model
setTrainingRuns(List<TrainingRun> trainingRuns)
Information for all training runs in increasing order of start_time.



Model
setTransformColumns(List<TransformColumn> transformColumns)
Output only.







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, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys





Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, 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





Model
public Model()









Method Detail





getBestTrialId
public Long getBestTrialId()
The best trial_id across all training runs.

Returns:
value or null for none








setBestTrialId
public Model setBestTrialId(Long bestTrialId)
The best trial_id across all training runs.

Parameters:
bestTrialId - bestTrialId or null for none








getCreationTime
public Long getCreationTime()
Output only. The time when this model was created, in millisecs since the epoch.

Returns:
value or null for none








setCreationTime
public Model setCreationTime(Long creationTime)
Output only. The time when this model was created, in millisecs since the epoch.

Parameters:
creationTime - creationTime or null for none








getDefaultTrialId
public Long getDefaultTrialId()
Output only. The default trial_id to use in TVFs when the trial_id is not passed in. For
 single-objective [hyperparameter tuning](/bigquery-ml/docs/reference/standard-sql/bigqueryml-
 syntax-hp-tuning-overview) models, this is the best trial ID. For multi-objective
 [hyperparameter tuning](/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-hp-tuning-
 overview) models, this is the smallest trial ID among all Pareto optimal trials.

Returns:
value or null for none








setDefaultTrialId
public Model setDefaultTrialId(Long defaultTrialId)
Output only. The default trial_id to use in TVFs when the trial_id is not passed in. For
 single-objective [hyperparameter tuning](/bigquery-ml/docs/reference/standard-sql/bigqueryml-
 syntax-hp-tuning-overview) models, this is the best trial ID. For multi-objective
 [hyperparameter tuning](/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-hp-tuning-
 overview) models, this is the smallest trial ID among all Pareto optimal trials.

Parameters:
defaultTrialId - defaultTrialId or null for none








getDescription
public String getDescription()
Optional. A user-friendly description of this model.

Returns:
value or null for none








setDescription
public Model setDescription(String description)
Optional. A user-friendly description of this model.

Parameters:
description - description or null for none








getEncryptionConfiguration
public EncryptionConfiguration getEncryptionConfiguration()
Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration
 of the model data while stored in BigQuery storage. This field can be used with PatchModel to
 update encryption key for an already encrypted model.

Returns:
value or null for none








setEncryptionConfiguration
public Model setEncryptionConfiguration(EncryptionConfiguration encryptionConfiguration)
Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration
 of the model data while stored in BigQuery storage. This field can be used with PatchModel to
 update encryption key for an already encrypted model.

Parameters:
encryptionConfiguration - encryptionConfiguration or null for none








getEtag
public String getEtag()
Output only. A hash of this resource.

Returns:
value or null for none








setEtag
public Model setEtag(String etag)
Output only. A hash of this resource.

Parameters:
etag - etag or null for none








getExpirationTime
public Long getExpirationTime()
Optional. The time when this model expires, in milliseconds since the epoch. If not present,
 the model will persist indefinitely. Expired models will be deleted and their storage
 reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to
 set a default expirationTime on newly created models.

Returns:
value or null for none








setExpirationTime
public Model setExpirationTime(Long expirationTime)
Optional. The time when this model expires, in milliseconds since the epoch. If not present,
 the model will persist indefinitely. Expired models will be deleted and their storage
 reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to
 set a default expirationTime on newly created models.

Parameters:
expirationTime - expirationTime or null for none








getFeatureColumns
public List<StandardSqlField> getFeatureColumns()
Output only. Input feature columns for the model inference. If the model is trained with
 TRANSFORM clause, these are the input of the TRANSFORM clause.

Returns:
value or null for none








setFeatureColumns
public Model setFeatureColumns(List<StandardSqlField> featureColumns)
Output only. Input feature columns for the model inference. If the model is trained with
 TRANSFORM clause, these are the input of the TRANSFORM clause.

Parameters:
featureColumns - featureColumns or null for none








getFriendlyName
public String getFriendlyName()
Optional. A descriptive name for this model.

Returns:
value or null for none








setFriendlyName
public Model setFriendlyName(String friendlyName)
Optional. A descriptive name for this model.

Parameters:
friendlyName - friendlyName or null for none








getHparamSearchSpaces
public HparamSearchSpaces getHparamSearchSpaces()
Output only. All hyperparameter search spaces in this model.

Returns:
value or null for none








setHparamSearchSpaces
public Model setHparamSearchSpaces(HparamSearchSpaces hparamSearchSpaces)
Output only. All hyperparameter search spaces in this model.

Parameters:
hparamSearchSpaces - hparamSearchSpaces or null for none








getHparamTrials
public List<HparamTuningTrial> getHparamTrials()
Output only. Trials of a [hyperparameter tuning](/bigquery-ml/docs/reference/standard-
 sql/bigqueryml-syntax-hp-tuning-overview) model sorted by trial_id.

Returns:
value or null for none








setHparamTrials
public Model setHparamTrials(List<HparamTuningTrial> hparamTrials)
Output only. Trials of a [hyperparameter tuning](/bigquery-ml/docs/reference/standard-
 sql/bigqueryml-syntax-hp-tuning-overview) model sorted by trial_id.

Parameters:
hparamTrials - hparamTrials or null for none








getLabelColumns
public List<StandardSqlField> getLabelColumns()
Output only. Label columns that were used to train this model. The output of the model will
 have a "predicted_" prefix to these columns.

Returns:
value or null for none








setLabelColumns
public Model setLabelColumns(List<StandardSqlField> labelColumns)
Output only. Label columns that were used to train this model. The output of the model will
 have a "predicted_" prefix to these columns.

Parameters:
labelColumns - labelColumns or null for none








getLabels
public Map<String,String> getLabels()
The labels associated with this model. You can use these to organize and group your models.
 Label keys and values can be no longer than 63 characters, can only contain lowercase letters,
 numeric characters, underscores and dashes. International characters are allowed. Label values
 are optional. Label keys must start with a letter and each label in the list must have a
 different key.

Returns:
value or null for none








setLabels
public Model setLabels(Map<String,String> labels)
The labels associated with this model. You can use these to organize and group your models.
 Label keys and values can be no longer than 63 characters, can only contain lowercase letters,
 numeric characters, underscores and dashes. International characters are allowed. Label values
 are optional. Label keys must start with a letter and each label in the list must have a
 different key.

Parameters:
labels - labels or null for none








getLastModifiedTime
public Long getLastModifiedTime()
Output only. The time when this model was last modified, in millisecs since the epoch.

Returns:
value or null for none








setLastModifiedTime
public Model setLastModifiedTime(Long lastModifiedTime)
Output only. The time when this model was last modified, in millisecs since the epoch.

Parameters:
lastModifiedTime - lastModifiedTime or null for none








getLocation
public String getLocation()
Output only. The geographic location where the model resides. This value is inherited from the
 dataset.

Returns:
value or null for none








setLocation
public Model setLocation(String location)
Output only. The geographic location where the model resides. This value is inherited from the
 dataset.

Parameters:
location - location or null for none








getModelReference
public ModelReference getModelReference()
Required. Unique identifier for this model.

Returns:
value or null for none








setModelReference
public Model setModelReference(ModelReference modelReference)
Required. Unique identifier for this model.

Parameters:
modelReference - modelReference or null for none








getModelType
public String getModelType()
Output only. Type of the model resource.

Returns:
value or null for none








setModelType
public Model setModelType(String modelType)
Output only. Type of the model resource.

Parameters:
modelType - modelType or null for none








getOptimalTrialIds
public List<Long> getOptimalTrialIds()
Output only. For single-objective [hyperparameter tuning](/bigquery-ml/docs/reference/standard-
 sql/bigqueryml-syntax-hp-tuning-overview) models, it only contains the best trial. For multi-
 objective [hyperparameter tuning](/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-
 hp-tuning-overview) models, it contains all Pareto optimal trials sorted by trial_id.

Returns:
value or null for none








setOptimalTrialIds
public Model setOptimalTrialIds(List<Long> optimalTrialIds)
Output only. For single-objective [hyperparameter tuning](/bigquery-ml/docs/reference/standard-
 sql/bigqueryml-syntax-hp-tuning-overview) models, it only contains the best trial. For multi-
 objective [hyperparameter tuning](/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-
 hp-tuning-overview) models, it contains all Pareto optimal trials sorted by trial_id.

Parameters:
optimalTrialIds - optimalTrialIds or null for none








getRemoteModelInfo
public RemoteModelInfo getRemoteModelInfo()
Output only. Remote model info

Returns:
value or null for none








setRemoteModelInfo
public Model setRemoteModelInfo(RemoteModelInfo remoteModelInfo)
Output only. Remote model info

Parameters:
remoteModelInfo - remoteModelInfo or null for none








getTrainingRuns
public List<TrainingRun> getTrainingRuns()
Information for all training runs in increasing order of start_time.

Returns:
value or null for none








setTrainingRuns
public Model setTrainingRuns(List<TrainingRun> trainingRuns)
Information for all training runs in increasing order of start_time.

Parameters:
trainingRuns - trainingRuns or null for none








getTransformColumns
public List<TransformColumn> getTransformColumns()
Output only. This field will be populated if a TRANSFORM clause was used to train a model.
 TRANSFORM clause (if used) takes feature_columns as input and outputs transform_columns.
 transform_columns then are used to train the model.

Returns:
value or null for none








setTransformColumns
public Model setTransformColumns(List<TransformColumn> transformColumns)
Output only. This field will be populated if a TRANSFORM clause was used to train a model.
 TRANSFORM clause (if used) takes feature_columns as input and outputs transform_columns.
 transform_columns then are used to train the model.

Parameters:
transformColumns - transformColumns or null for none








set
public Model set(String fieldName,
                 Object value)

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








clone
public Model clone()

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














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