Class Model.Builder (2.31.0)

Version 2.31.0

• 2.51.0 (latest)
• 2.49.0
• 2.48.0
• 2.47.0
• 2.46.0
• 2.45.0
• 2.44.0
• 2.43.0
• 2.42.0
• 2.41.0
• 2.40.0
• 2.39.0
• 2.37.0
• 2.36.0
• 2.35.0
• 2.34.0
• 2.33.0
• 2.32.0
• 2.31.0
• 2.30.0
• 2.29.0
• 2.28.0
• 2.27.0
• 2.24.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.0
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.18
• 2.2.3
• 2.1.23

public static final class Model.Builder extends GeneratedMessageV3.Builder<Model.Builder> implements ModelOrBuilder

API proto representing a trained machine learning model.

Protobuf type google.cloud.automl.v1.Model

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > Model.Builder

Implements

ModelOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public Model.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public Model build()

Returns
Type	Description
Model

buildPartial()

public Model buildPartial()

Returns
Type	Description
Model

clear()

public Model.Builder clear()

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCreateTime()

public Model.Builder clearCreateTime()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
Model.Builder

clearDatasetId()

public Model.Builder clearDatasetId()

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Returns
Type	Description
Model.Builder	This builder for chaining.

clearDeploymentState()

public Model.Builder clearDeploymentState()

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Returns
Type	Description
Model.Builder	This builder for chaining.

clearDisplayName()

public Model.Builder clearDisplayName()

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Returns
Type	Description
Model.Builder	This builder for chaining.

clearEtag()

public Model.Builder clearEtag()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Returns
Type	Description
Model.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public Model.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearImageClassificationModelMetadata()

public Model.Builder clearImageClassificationModelMetadata()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type	Description
Model.Builder

clearImageObjectDetectionModelMetadata()

public Model.Builder clearImageObjectDetectionModelMetadata()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type	Description
Model.Builder

clearLabels()

public Model.Builder clearLabels()

Returns
Type	Description
Model.Builder

clearModelMetadata()

public Model.Builder clearModelMetadata()

Returns
Type	Description
Model.Builder

clearName()

public Model.Builder clearName()

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Returns
Type	Description
Model.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public Model.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearTextClassificationModelMetadata()

public Model.Builder clearTextClassificationModelMetadata()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type	Description
Model.Builder

clearTextExtractionModelMetadata()

public Model.Builder clearTextExtractionModelMetadata()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type	Description
Model.Builder

clearTextSentimentModelMetadata()

public Model.Builder clearTextSentimentModelMetadata()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type	Description
Model.Builder

clearTranslationModelMetadata()

public Model.Builder clearTranslationModelMetadata()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type	Description
Model.Builder

clearUpdateTime()

public Model.Builder clearUpdateTime()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type	Description
Model.Builder

clone()

public Model.Builder clone()

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

containsLabels(String key)

public boolean containsLabels(String key)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name	Description
key	String

Returns
Type	Description
boolean

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
TimestampOrBuilder

getDatasetId()

public String getDatasetId()

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Returns
Type	Description
String	The datasetId.

getDatasetIdBytes()

public ByteString getDatasetIdBytes()

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Returns
Type	Description
ByteString	The bytes for datasetId.

getDefaultInstanceForType()

public Model getDefaultInstanceForType()

Returns
Type	Description
Model

getDeploymentState()

public Model.DeploymentState getDeploymentState()

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Returns
Type	Description
Model.DeploymentState	The deploymentState.

getDeploymentStateValue()

public int getDeploymentStateValue()

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Returns
Type	Description
int	The enum numeric value on the wire for deploymentState.

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayName()

public String getDisplayName()

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Returns
Type	Description
String	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Returns
Type	Description
ByteString	The bytes for displayName.

getEtag()

public String getEtag()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Returns
Type	Description
String	The etag.

getEtagBytes()

public ByteString getEtagBytes()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Returns
Type	Description
ByteString	The bytes for etag.

getImageClassificationModelMetadata()

public ImageClassificationModelMetadata getImageClassificationModelMetadata()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type	Description
ImageClassificationModelMetadata	The imageClassificationModelMetadata.

getImageClassificationModelMetadataBuilder()

public ImageClassificationModelMetadata.Builder getImageClassificationModelMetadataBuilder()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type	Description
ImageClassificationModelMetadata.Builder

getImageClassificationModelMetadataOrBuilder()

public ImageClassificationModelMetadataOrBuilder getImageClassificationModelMetadataOrBuilder()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type	Description
ImageClassificationModelMetadataOrBuilder

getImageObjectDetectionModelMetadata()

public ImageObjectDetectionModelMetadata getImageObjectDetectionModelMetadata()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type	Description
ImageObjectDetectionModelMetadata	The imageObjectDetectionModelMetadata.

getImageObjectDetectionModelMetadataBuilder()

public ImageObjectDetectionModelMetadata.Builder getImageObjectDetectionModelMetadataBuilder()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type	Description
ImageObjectDetectionModelMetadata.Builder

getImageObjectDetectionModelMetadataOrBuilder()

public ImageObjectDetectionModelMetadataOrBuilder getImageObjectDetectionModelMetadataOrBuilder()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type	Description
ImageObjectDetectionModelMetadataOrBuilder

getLabels() (deprecated)

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type	Description
Map<String,String>

getLabelsCount()

public int getLabelsCount()

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Returns
Type	Description
int

getLabelsMap()

public Map<String,String> getLabelsMap()

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Returns
Type	Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameters
Name	Description
key	String
defaultValue	String

Returns
Type	Description
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name	Description
key	String

Returns
Type	Description
String

getModelMetadataCase()

public Model.ModelMetadataCase getModelMetadataCase()

Returns
Type	Description
Model.ModelMetadataCase

getMutableLabels() (deprecated)

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
Type	Description
Map<String,String>

getName()

public String getName()

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Returns
Type	Description
String	The name.

getNameBytes()

public ByteString getNameBytes()

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Returns
Type	Description
ByteString	The bytes for name.

getTextClassificationModelMetadata()

public TextClassificationModelMetadata getTextClassificationModelMetadata()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type	Description
TextClassificationModelMetadata	The textClassificationModelMetadata.

getTextClassificationModelMetadataBuilder()

public TextClassificationModelMetadata.Builder getTextClassificationModelMetadataBuilder()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type	Description
TextClassificationModelMetadata.Builder

getTextClassificationModelMetadataOrBuilder()

public TextClassificationModelMetadataOrBuilder getTextClassificationModelMetadataOrBuilder()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type	Description
TextClassificationModelMetadataOrBuilder

getTextExtractionModelMetadata()

public TextExtractionModelMetadata getTextExtractionModelMetadata()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type	Description
TextExtractionModelMetadata	The textExtractionModelMetadata.

getTextExtractionModelMetadataBuilder()

public TextExtractionModelMetadata.Builder getTextExtractionModelMetadataBuilder()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type	Description
TextExtractionModelMetadata.Builder

getTextExtractionModelMetadataOrBuilder()

public TextExtractionModelMetadataOrBuilder getTextExtractionModelMetadataOrBuilder()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type	Description
TextExtractionModelMetadataOrBuilder

getTextSentimentModelMetadata()

public TextSentimentModelMetadata getTextSentimentModelMetadata()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type	Description
TextSentimentModelMetadata	The textSentimentModelMetadata.

getTextSentimentModelMetadataBuilder()

public TextSentimentModelMetadata.Builder getTextSentimentModelMetadataBuilder()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type	Description
TextSentimentModelMetadata.Builder

getTextSentimentModelMetadataOrBuilder()

public TextSentimentModelMetadataOrBuilder getTextSentimentModelMetadataOrBuilder()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type	Description
TextSentimentModelMetadataOrBuilder

getTranslationModelMetadata()

public TranslationModelMetadata getTranslationModelMetadata()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type	Description
TranslationModelMetadata	The translationModelMetadata.

getTranslationModelMetadataBuilder()

public TranslationModelMetadata.Builder getTranslationModelMetadataBuilder()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type	Description
TranslationModelMetadata.Builder

getTranslationModelMetadataOrBuilder()

public TranslationModelMetadataOrBuilder getTranslationModelMetadataOrBuilder()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type	Description
TranslationModelMetadataOrBuilder

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type	Description
Timestamp	The updateTime.

getUpdateTimeBuilder()

public Timestamp.Builder getUpdateTimeBuilder()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type	Description
Builder

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type	Description
TimestampOrBuilder

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
boolean	Whether the createTime field is set.

hasImageClassificationModelMetadata()

public boolean hasImageClassificationModelMetadata()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type	Description
boolean	Whether the imageClassificationModelMetadata field is set.

hasImageObjectDetectionModelMetadata()

public boolean hasImageObjectDetectionModelMetadata()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type	Description
boolean	Whether the imageObjectDetectionModelMetadata field is set.

hasTextClassificationModelMetadata()

public boolean hasTextClassificationModelMetadata()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type	Description
boolean	Whether the textClassificationModelMetadata field is set.

hasTextExtractionModelMetadata()

public boolean hasTextExtractionModelMetadata()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type	Description
boolean	Whether the textExtractionModelMetadata field is set.

hasTextSentimentModelMetadata()

public boolean hasTextSentimentModelMetadata()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type	Description
boolean	Whether the textSentimentModelMetadata field is set.

hasTranslationModelMetadata()

public boolean hasTranslationModelMetadata()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type	Description
boolean	Whether the translationModelMetadata field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type	Description
boolean	Whether the updateTime field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

internalGetMapField(int number)

protected MapField internalGetMapField(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
MapField

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMapField(int fieldNumber)

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
MapField

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetMutableMapField(int fieldNumber)

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeCreateTime(Timestamp value)

public Model.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
Model.Builder

mergeFrom(Model other)

public Model.Builder mergeFrom(Model other)

Parameter
Name	Description
other	Model

Returns
Type	Description
Model.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public Model.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
Model.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public Model.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
Model.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeImageClassificationModelMetadata(ImageClassificationModelMetadata value)

public Model.Builder mergeImageClassificationModelMetadata(ImageClassificationModelMetadata value)

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Parameter
Name	Description
value	ImageClassificationModelMetadata

Returns
Type	Description
Model.Builder

mergeImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

public Model.Builder mergeImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Parameter
Name	Description
value	ImageObjectDetectionModelMetadata

Returns
Type	Description
Model.Builder

mergeTextClassificationModelMetadata(TextClassificationModelMetadata value)

public Model.Builder mergeTextClassificationModelMetadata(TextClassificationModelMetadata value)

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Parameter
Name	Description
value	TextClassificationModelMetadata

Returns
Type	Description
Model.Builder

mergeTextExtractionModelMetadata(TextExtractionModelMetadata value)

public Model.Builder mergeTextExtractionModelMetadata(TextExtractionModelMetadata value)

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Parameter
Name	Description
value	TextExtractionModelMetadata

Returns
Type	Description
Model.Builder

mergeTextSentimentModelMetadata(TextSentimentModelMetadata value)

public Model.Builder mergeTextSentimentModelMetadata(TextSentimentModelMetadata value)

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Parameter
Name	Description
value	TextSentimentModelMetadata

Returns
Type	Description
Model.Builder

mergeTranslationModelMetadata(TranslationModelMetadata value)

public Model.Builder mergeTranslationModelMetadata(TranslationModelMetadata value)

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Parameter
Name	Description
value	TranslationModelMetadata

Returns
Type	Description
Model.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Model.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

mergeUpdateTime(Timestamp value)

public Model.Builder mergeUpdateTime(Timestamp value)

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
Model.Builder

putAllLabels(Map<String,String> values)

public Model.Builder putAllLabels(Map<String,String> values)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name	Description
values	Map<String,String>

Returns
Type	Description
Model.Builder

putLabels(String key, String value)

public Model.Builder putLabels(String key, String value)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameters
Name	Description
key	String
value	String

Returns
Type	Description
Model.Builder

removeLabels(String key)

public Model.Builder removeLabels(String key)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), 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.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name	Description
key	String

Returns
Type	Description
Model.Builder

setCreateTime(Timestamp value)

public Model.Builder setCreateTime(Timestamp value)

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
Model.Builder

setCreateTime(Timestamp.Builder builderForValue)

public Model.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
Model.Builder

setDatasetId(String value)

public Model.Builder setDatasetId(String value)

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Parameter
Name	Description
value	String The datasetId to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setDatasetIdBytes(ByteString value)

public Model.Builder setDatasetIdBytes(ByteString value)

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Parameter
Name	Description
value	ByteString The bytes for datasetId to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setDeploymentState(Model.DeploymentState value)

public Model.Builder setDeploymentState(Model.DeploymentState value)

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Parameter
Name	Description
value	Model.DeploymentState The deploymentState to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setDeploymentStateValue(int value)

public Model.Builder setDeploymentStateValue(int value)

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Parameter
Name	Description
value	int The enum numeric value on the wire for deploymentState to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setDisplayName(String value)

public Model.Builder setDisplayName(String value)

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Parameter
Name	Description
value	String The displayName to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setDisplayNameBytes(ByteString value)

public Model.Builder setDisplayNameBytes(ByteString value)

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Parameter
Name	Description
value	ByteString The bytes for displayName to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setEtag(String value)

public Model.Builder setEtag(String value)

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Parameter
Name	Description
value	String The etag to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setEtagBytes(ByteString value)

public Model.Builder setEtagBytes(ByteString value)

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Parameter
Name	Description
value	ByteString The bytes for etag to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public Model.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setImageClassificationModelMetadata(ImageClassificationModelMetadata value)

public Model.Builder setImageClassificationModelMetadata(ImageClassificationModelMetadata value)

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Parameter
Name	Description
value	ImageClassificationModelMetadata

Returns
Type	Description
Model.Builder

setImageClassificationModelMetadata(ImageClassificationModelMetadata.Builder builderForValue)

public Model.Builder setImageClassificationModelMetadata(ImageClassificationModelMetadata.Builder builderForValue)

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Parameter
Name	Description
builderForValue	ImageClassificationModelMetadata.Builder

Returns
Type	Description
Model.Builder

setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

public Model.Builder setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Parameter
Name	Description
value	ImageObjectDetectionModelMetadata

Returns
Type	Description
Model.Builder

setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata.Builder builderForValue)

public Model.Builder setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata.Builder builderForValue)

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Parameter
Name	Description
builderForValue	ImageObjectDetectionModelMetadata.Builder

Returns
Type	Description
Model.Builder

setName(String value)

public Model.Builder setName(String value)

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Parameter
Name	Description
value	String The name to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setNameBytes(ByteString value)

public Model.Builder setNameBytes(ByteString value)

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Parameter
Name	Description
value	ByteString The bytes for name to set.

Returns
Type	Description
Model.Builder	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public Model.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setTextClassificationModelMetadata(TextClassificationModelMetadata value)

public Model.Builder setTextClassificationModelMetadata(TextClassificationModelMetadata value)

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Parameter
Name	Description
value	TextClassificationModelMetadata

Returns
Type	Description
Model.Builder

setTextClassificationModelMetadata(TextClassificationModelMetadata.Builder builderForValue)

public Model.Builder setTextClassificationModelMetadata(TextClassificationModelMetadata.Builder builderForValue)

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Parameter
Name	Description
builderForValue	TextClassificationModelMetadata.Builder

Returns
Type	Description
Model.Builder

setTextExtractionModelMetadata(TextExtractionModelMetadata value)

public Model.Builder setTextExtractionModelMetadata(TextExtractionModelMetadata value)

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Parameter
Name	Description
value	TextExtractionModelMetadata

Returns
Type	Description
Model.Builder

setTextExtractionModelMetadata(TextExtractionModelMetadata.Builder builderForValue)

public Model.Builder setTextExtractionModelMetadata(TextExtractionModelMetadata.Builder builderForValue)

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Parameter
Name	Description
builderForValue	TextExtractionModelMetadata.Builder

Returns
Type	Description
Model.Builder

setTextSentimentModelMetadata(TextSentimentModelMetadata value)

public Model.Builder setTextSentimentModelMetadata(TextSentimentModelMetadata value)

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Parameter
Name	Description
value	TextSentimentModelMetadata

Returns
Type	Description
Model.Builder

setTextSentimentModelMetadata(TextSentimentModelMetadata.Builder builderForValue)

public Model.Builder setTextSentimentModelMetadata(TextSentimentModelMetadata.Builder builderForValue)

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Parameter
Name	Description
builderForValue	TextSentimentModelMetadata.Builder

Returns
Type	Description
Model.Builder

setTranslationModelMetadata(TranslationModelMetadata value)

public Model.Builder setTranslationModelMetadata(TranslationModelMetadata value)

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Parameter
Name	Description
value	TranslationModelMetadata

Returns
Type	Description
Model.Builder

setTranslationModelMetadata(TranslationModelMetadata.Builder builderForValue)

public Model.Builder setTranslationModelMetadata(TranslationModelMetadata.Builder builderForValue)

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Parameter
Name	Description
builderForValue	TranslationModelMetadata.Builder

Returns
Type	Description
Model.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final Model.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
Model.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)

setUpdateTime(Timestamp value)

public Model.Builder setUpdateTime(Timestamp value)

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
Model.Builder

setUpdateTime(Timestamp.Builder builderForValue)

public Model.Builder setUpdateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
Model.Builder