Class Model.Builder (2.34.0)

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()

string display_name = 2;

Returns
Type	Description
`String`	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

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.

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.

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.

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.

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.

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.

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.

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)

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)

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`