Model (proto-google-cloud-aiplatform-v1beta1 0.16.0 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite
- - com.google.protobuf.AbstractMessage
  - - com.google.protobuf.GeneratedMessageV3
    - - com.google.cloud.aiplatform.v1beta1.Model

All Implemented Interfaces:

ModelOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
```
public final class Model
extends com.google.protobuf.GeneratedMessageV3
implements ModelOrBuilder
```
```
 A trained machine learning Model.
 
```
Protobuf type google.cloud.aiplatform.v1beta1.Model
See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type	Class and Description
`static class`	`Model.Builder` A trained machine learning Model.
`static class`	`Model.DeploymentResourcesType` Identifies a type of Model's prediction resources.
`static class`	`Model.ExportFormat` Represents export format supported by the Model.
`static interface`	`Model.ExportFormatOrBuilder`

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields
Modifier and Type	Field and Description
`static int`	`ARTIFACT_URI_FIELD_NUMBER`
`static int`	`CONTAINER_SPEC_FIELD_NUMBER`
`static int`	`CREATE_TIME_FIELD_NUMBER`
`static int`	`DEPLOYED_MODELS_FIELD_NUMBER`
`static int`	`DESCRIPTION_FIELD_NUMBER`
`static int`	`DISPLAY_NAME_FIELD_NUMBER`
`static int`	`ENCRYPTION_SPEC_FIELD_NUMBER`
`static int`	`ETAG_FIELD_NUMBER`
`static int`	`EXPLANATION_SPEC_FIELD_NUMBER`
`static int`	`LABELS_FIELD_NUMBER`
`static int`	`METADATA_FIELD_NUMBER`
`static int`	`METADATA_SCHEMA_URI_FIELD_NUMBER`
`static int`	`NAME_FIELD_NUMBER`
`static int`	`PREDICT_SCHEMATA_FIELD_NUMBER`
`static int`	`SUPPORTED_DEPLOYMENT_RESOURCES_TYPES_FIELD_NUMBER`
`static int`	`SUPPORTED_EXPORT_FORMATS_FIELD_NUMBER`
`static int`	`SUPPORTED_INPUT_STORAGE_FORMATS_FIELD_NUMBER`
`static int`	`SUPPORTED_OUTPUT_STORAGE_FORMATS_FIELD_NUMBER`
`static int`	`TRAINING_PIPELINE_FIELD_NUMBER`
`static int`	`UPDATE_TIME_FIELD_NUMBER`
`static int`	`VERSION_ALIASES_FIELD_NUMBER`
`static int`	`VERSION_CREATE_TIME_FIELD_NUMBER`
`static int`	`VERSION_DESCRIPTION_FIELD_NUMBER`
`static int`	`VERSION_ID_FIELD_NUMBER`
`static int`	`VERSION_UPDATE_TIME_FIELD_NUMBER`

Fields inherited from class com.google.protobuf.GeneratedMessageV3
alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage
memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite
memoizedHashCode

Method Summary

All Methods Static Methods Instance Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`boolean`	`containsLabels(String key)` The labels with user-defined metadata to organize your Models.
`boolean`	`equals(Object obj)`
`String`	`getArtifactUri()` Immutable.
`com.google.protobuf.ByteString`	`getArtifactUriBytes()` Immutable.
`ModelContainerSpec`	`getContainerSpec()` Input only.
`ModelContainerSpecOrBuilder`	`getContainerSpecOrBuilder()` Input only.
`com.google.protobuf.Timestamp`	`getCreateTime()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getCreateTimeOrBuilder()` Output only.
`static Model`	`getDefaultInstance()`
`Model`	`getDefaultInstanceForType()`
`DeployedModelRef`	`getDeployedModels(int index)` Output only.
`int`	`getDeployedModelsCount()` Output only.
`List<DeployedModelRef>`	`getDeployedModelsList()` Output only.
`DeployedModelRefOrBuilder`	`getDeployedModelsOrBuilder(int index)` Output only.
`List<? extends DeployedModelRefOrBuilder>`	`getDeployedModelsOrBuilderList()` Output only.
`String`	`getDescription()` The description of the Model.
`com.google.protobuf.ByteString`	`getDescriptionBytes()` The description of the Model.
`static com.google.protobuf.Descriptors.Descriptor`	`getDescriptor()`
`String`	`getDisplayName()` Required.
`com.google.protobuf.ByteString`	`getDisplayNameBytes()` Required.
`EncryptionSpec`	`getEncryptionSpec()` Customer-managed encryption key spec for a Model.
`EncryptionSpecOrBuilder`	`getEncryptionSpecOrBuilder()` Customer-managed encryption key spec for a Model.
`String`	`getEtag()` Used to perform consistent read-modify-write updates.
`com.google.protobuf.ByteString`	`getEtagBytes()` Used to perform consistent read-modify-write updates.
`ExplanationSpec`	`getExplanationSpec()` The default explanation specification for this Model.
`ExplanationSpecOrBuilder`	`getExplanationSpecOrBuilder()` The default explanation specification for this Model.
`Map<String,String>`	`getLabels()` Deprecated.
`int`	`getLabelsCount()` The labels with user-defined metadata to organize your Models.
`Map<String,String>`	`getLabelsMap()` The labels with user-defined metadata to organize your Models.
`String`	`getLabelsOrDefault(String key, String defaultValue)` The labels with user-defined metadata to organize your Models.
`String`	`getLabelsOrThrow(String key)` The labels with user-defined metadata to organize your Models.
`com.google.protobuf.Value`	`getMetadata()` Immutable.
`com.google.protobuf.ValueOrBuilder`	`getMetadataOrBuilder()` Immutable.
`String`	`getMetadataSchemaUri()` Immutable.
`com.google.protobuf.ByteString`	`getMetadataSchemaUriBytes()` Immutable.
`String`	`getName()` The resource name of the Model.
`com.google.protobuf.ByteString`	`getNameBytes()` The resource name of the Model.
`com.google.protobuf.Parser<Model>`	`getParserForType()`
`PredictSchemata`	`getPredictSchemata()` The schemata that describe formats of the Model's predictions and explanations as given and returned via [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
`PredictSchemataOrBuilder`	`getPredictSchemataOrBuilder()` The schemata that describe formats of the Model's predictions and explanations as given and returned via [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
`int`	`getSerializedSize()`
`Model.DeploymentResourcesType`	`getSupportedDeploymentResourcesTypes(int index)` Output only.
`int`	`getSupportedDeploymentResourcesTypesCount()` Output only.
`List<Model.DeploymentResourcesType>`	`getSupportedDeploymentResourcesTypesList()` Output only.
`int`	`getSupportedDeploymentResourcesTypesValue(int index)` Output only.
`List<Integer>`	`getSupportedDeploymentResourcesTypesValueList()` Output only.
`Model.ExportFormat`	`getSupportedExportFormats(int index)` Output only.
`int`	`getSupportedExportFormatsCount()` Output only.
`List<Model.ExportFormat>`	`getSupportedExportFormatsList()` Output only.
`Model.ExportFormatOrBuilder`	`getSupportedExportFormatsOrBuilder(int index)` Output only.
`List<? extends Model.ExportFormatOrBuilder>`	`getSupportedExportFormatsOrBuilderList()` Output only.
`String`	`getSupportedInputStorageFormats(int index)` Output only.
`com.google.protobuf.ByteString`	`getSupportedInputStorageFormatsBytes(int index)` Output only.
`int`	`getSupportedInputStorageFormatsCount()` Output only.
`com.google.protobuf.ProtocolStringList`	`getSupportedInputStorageFormatsList()` Output only.
`String`	`getSupportedOutputStorageFormats(int index)` Output only.
`com.google.protobuf.ByteString`	`getSupportedOutputStorageFormatsBytes(int index)` Output only.
`int`	`getSupportedOutputStorageFormatsCount()` Output only.
`com.google.protobuf.ProtocolStringList`	`getSupportedOutputStorageFormatsList()` Output only.
`String`	`getTrainingPipeline()` Output only.
`com.google.protobuf.ByteString`	`getTrainingPipelineBytes()` Output only.
`com.google.protobuf.UnknownFieldSet`	`getUnknownFields()`
`com.google.protobuf.Timestamp`	`getUpdateTime()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getUpdateTimeOrBuilder()` Output only.
`String`	`getVersionAliases(int index)` User provided version aliases so that a model version can be referenced via alias (i.e.
`com.google.protobuf.ByteString`	`getVersionAliasesBytes(int index)` User provided version aliases so that a model version can be referenced via alias (i.e.
`int`	`getVersionAliasesCount()` User provided version aliases so that a model version can be referenced via alias (i.e.
`com.google.protobuf.ProtocolStringList`	`getVersionAliasesList()` User provided version aliases so that a model version can be referenced via alias (i.e.
`com.google.protobuf.Timestamp`	`getVersionCreateTime()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getVersionCreateTimeOrBuilder()` Output only.
`String`	`getVersionDescription()` The description of this version.
`com.google.protobuf.ByteString`	`getVersionDescriptionBytes()` The description of this version.
`String`	`getVersionId()` Output only.
`com.google.protobuf.ByteString`	`getVersionIdBytes()` Output only.
`com.google.protobuf.Timestamp`	`getVersionUpdateTime()` Output only.
`com.google.protobuf.TimestampOrBuilder`	`getVersionUpdateTimeOrBuilder()` Output only.
`boolean`	`hasContainerSpec()` Input only.
`boolean`	`hasCreateTime()` Output only.
`boolean`	`hasEncryptionSpec()` Customer-managed encryption key spec for a Model.
`boolean`	`hasExplanationSpec()` The default explanation specification for this Model.
`int`	`hashCode()`
`boolean`	`hasMetadata()` Immutable.
`boolean`	`hasPredictSchemata()` The schemata that describe formats of the Model's predictions and explanations as given and returned via [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
`boolean`	`hasUpdateTime()` Output only.
`boolean`	`hasVersionCreateTime()` Output only.
`boolean`	`hasVersionUpdateTime()` Output only.
`protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable`	`internalGetFieldAccessorTable()`
`protected com.google.protobuf.MapField`	`internalGetMapField(int number)`
`boolean`	`isInitialized()`
`static Model.Builder`	`newBuilder()`
`static Model.Builder`	`newBuilder(Model prototype)`
`Model.Builder`	`newBuilderForType()`
`protected Model.Builder`	`newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)`
`protected Object`	`newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)`
`static Model`	`parseDelimitedFrom(InputStream input)`
`static Model`	`parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static Model`	`parseFrom(byte[] data)`
`static Model`	`parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static Model`	`parseFrom(ByteBuffer data)`
`static Model`	`parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static Model`	`parseFrom(com.google.protobuf.ByteString data)`
`static Model`	`parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static Model`	`parseFrom(com.google.protobuf.CodedInputStream input)`
`static Model`	`parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static Model`	`parseFrom(InputStream input)`
`static Model`	`parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`static com.google.protobuf.Parser<Model>`	`parser()`
`Model.Builder`	`toBuilder()`
`void`	`writeTo(com.google.protobuf.CodedOutputStream output)`

Methods inherited from class com.google.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, isStringEmpty, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLite
toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail
- NAME_FIELD_NUMBER
```
public static final int NAME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- VERSION_ID_FIELD_NUMBER
```
public static final int VERSION_ID_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- VERSION_ALIASES_FIELD_NUMBER
```
public static final int VERSION_ALIASES_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- VERSION_CREATE_TIME_FIELD_NUMBER
```
public static final int VERSION_CREATE_TIME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- VERSION_UPDATE_TIME_FIELD_NUMBER
```
public static final int VERSION_UPDATE_TIME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- DISPLAY_NAME_FIELD_NUMBER
```
public static final int DISPLAY_NAME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- DESCRIPTION_FIELD_NUMBER
```
public static final int DESCRIPTION_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- VERSION_DESCRIPTION_FIELD_NUMBER
```
public static final int VERSION_DESCRIPTION_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- PREDICT_SCHEMATA_FIELD_NUMBER
```
public static final int PREDICT_SCHEMATA_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- METADATA_SCHEMA_URI_FIELD_NUMBER
```
public static final int METADATA_SCHEMA_URI_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- METADATA_FIELD_NUMBER
```
public static final int METADATA_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- SUPPORTED_EXPORT_FORMATS_FIELD_NUMBER
```
public static final int SUPPORTED_EXPORT_FORMATS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- TRAINING_PIPELINE_FIELD_NUMBER
```
public static final int TRAINING_PIPELINE_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- CONTAINER_SPEC_FIELD_NUMBER
```
public static final int CONTAINER_SPEC_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ARTIFACT_URI_FIELD_NUMBER
```
public static final int ARTIFACT_URI_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- SUPPORTED_DEPLOYMENT_RESOURCES_TYPES_FIELD_NUMBER
```
public static final int SUPPORTED_DEPLOYMENT_RESOURCES_TYPES_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- SUPPORTED_INPUT_STORAGE_FORMATS_FIELD_NUMBER
```
public static final int SUPPORTED_INPUT_STORAGE_FORMATS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- SUPPORTED_OUTPUT_STORAGE_FORMATS_FIELD_NUMBER
```
public static final int SUPPORTED_OUTPUT_STORAGE_FORMATS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- CREATE_TIME_FIELD_NUMBER
```
public static final int CREATE_TIME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- UPDATE_TIME_FIELD_NUMBER
```
public static final int UPDATE_TIME_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- DEPLOYED_MODELS_FIELD_NUMBER
```
public static final int DEPLOYED_MODELS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- EXPLANATION_SPEC_FIELD_NUMBER
```
public static final int EXPLANATION_SPEC_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ETAG_FIELD_NUMBER
```
public static final int ETAG_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- LABELS_FIELD_NUMBER
```
public static final int LABELS_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values
- ENCRYPTION_SPEC_FIELD_NUMBER
```
public static final int ENCRYPTION_SPEC_FIELD_NUMBER
```
  See Also:
  
  Constant Field Values

Method Detail

newInstance

protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:: newInstance in class com.google.protobuf.GeneratedMessageV3

getUnknownFields
```
public final com.google.protobuf.UnknownFieldSet getUnknownFields()
```
Specified by:

getUnknownFields in interface com.google.protobuf.MessageOrBuilder

Overrides:

getUnknownFields in class com.google.protobuf.GeneratedMessageV3

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetMapField
```
protected com.google.protobuf.MapField internalGetMapField(int number)
```
Overrides:

internalGetMapField in class com.google.protobuf.GeneratedMessageV3

internalGetFieldAccessorTable
```
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
```
Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

getName
```
public String getName()
```
```
 The resource name of the Model.
 
```
string name = 1;
Specified by:

getName in interface ModelOrBuilder

Returns:

The name.

getNameBytes
```
public com.google.protobuf.ByteString getNameBytes()
```
```
 The resource name of the Model.
 
```
string name = 1;
Specified by:

getNameBytes in interface ModelOrBuilder

Returns:

The bytes for name.

getVersionId

public String getVersionId()

 Output only. Immutable. The version ID of the model.
 A new version is committed when a new model version is uploaded or
 trained under an existing model id. It is an auto-incrementing decimal
 number in string representation.


 string version_id = 28 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getVersionId in interface ModelOrBuilder
Returns:: The versionId.

getVersionIdBytes

public com.google.protobuf.ByteString getVersionIdBytes()

 Output only. Immutable. The version ID of the model.
 A new version is committed when a new model version is uploaded or
 trained under an existing model id. It is an auto-incrementing decimal
 number in string representation.


 string version_id = 28 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getVersionIdBytes in interface ModelOrBuilder
Returns:: The bytes for versionId.

getVersionAliasesList

public com.google.protobuf.ProtocolStringList getVersionAliasesList()

 User provided version aliases so that a model version can be referenced via
 alias (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_alias}
 instead of auto-generated version id (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_id}).
 The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to distinguish from
 version_id. A default version alias will be created for the first version
 of the model, and there must be exactly one default version alias for a
 model.

repeated string version_aliases = 29;

Specified by:: getVersionAliasesList in interface ModelOrBuilder
Returns:: A list containing the versionAliases.

getVersionAliasesCount

public int getVersionAliasesCount()

 User provided version aliases so that a model version can be referenced via
 alias (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_alias}
 instead of auto-generated version id (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_id}).
 The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to distinguish from
 version_id. A default version alias will be created for the first version
 of the model, and there must be exactly one default version alias for a
 model.

repeated string version_aliases = 29;

Specified by:: getVersionAliasesCount in interface ModelOrBuilder
Returns:: The count of versionAliases.

getVersionAliases

public String getVersionAliases(int index)

 User provided version aliases so that a model version can be referenced via
 alias (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_alias}
 instead of auto-generated version id (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_id}).
 The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to distinguish from
 version_id. A default version alias will be created for the first version
 of the model, and there must be exactly one default version alias for a
 model.

repeated string version_aliases = 29;

Specified by:: getVersionAliases in interface ModelOrBuilder
Parameters:: index - The index of the element to return.
Returns:: The versionAliases at the given index.

getVersionAliasesBytes

public com.google.protobuf.ByteString getVersionAliasesBytes(int index)

 User provided version aliases so that a model version can be referenced via
 alias (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_alias}
 instead of auto-generated version id (i.e.
 projects/{project}/locations/{location}/models/{model_id}@{version_id}).
 The format is [a-z][a-zA-Z0-9-]{0,126}[a-z0-9] to distinguish from
 version_id. A default version alias will be created for the first version
 of the model, and there must be exactly one default version alias for a
 model.

repeated string version_aliases = 29;

Specified by:: getVersionAliasesBytes in interface ModelOrBuilder
Parameters:: index - The index of the value to return.
Returns:: The bytes of the versionAliases at the given index.

hasVersionCreateTime
```
public boolean hasVersionCreateTime()
```
```
 Output only. Timestamp when this version was created.
 
```
.google.protobuf.Timestamp version_create_time = 31 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasVersionCreateTime in interface ModelOrBuilder

Returns:

Whether the versionCreateTime field is set.

getVersionCreateTime
```
public com.google.protobuf.Timestamp getVersionCreateTime()
```
```
 Output only. Timestamp when this version was created.
 
```
.google.protobuf.Timestamp version_create_time = 31 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getVersionCreateTime in interface ModelOrBuilder

Returns:

The versionCreateTime.

getVersionCreateTimeOrBuilder
```
public com.google.protobuf.TimestampOrBuilder getVersionCreateTimeOrBuilder()
```
```
 Output only. Timestamp when this version was created.
 
```
.google.protobuf.Timestamp version_create_time = 31 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getVersionCreateTimeOrBuilder in interface ModelOrBuilder

hasVersionUpdateTime
```
public boolean hasVersionUpdateTime()
```
```
 Output only. Timestamp when this version was most recently updated.
 
```
.google.protobuf.Timestamp version_update_time = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasVersionUpdateTime in interface ModelOrBuilder

Returns:

Whether the versionUpdateTime field is set.

getVersionUpdateTime
```
public com.google.protobuf.Timestamp getVersionUpdateTime()
```
```
 Output only. Timestamp when this version was most recently updated.
 
```
.google.protobuf.Timestamp version_update_time = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getVersionUpdateTime in interface ModelOrBuilder

Returns:

The versionUpdateTime.

getVersionUpdateTimeOrBuilder
```
public com.google.protobuf.TimestampOrBuilder getVersionUpdateTimeOrBuilder()
```
```
 Output only. Timestamp when this version was most recently updated.
 
```
.google.protobuf.Timestamp version_update_time = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getVersionUpdateTimeOrBuilder in interface ModelOrBuilder

getDisplayName

public String getDisplayName()

 Required. The display name of the Model.
 The name can be up to 128 characters long and can be consist of any UTF-8
 characters.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Specified by:: getDisplayName in interface ModelOrBuilder
Returns:: The displayName.

getDisplayNameBytes

public com.google.protobuf.ByteString getDisplayNameBytes()

 Required. The display name of the Model.
 The name can be up to 128 characters long and can be consist of any UTF-8
 characters.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Specified by:: getDisplayNameBytes in interface ModelOrBuilder
Returns:: The bytes for displayName.

getDescription
```
public String getDescription()
```
```
 The description of the Model.
 
```
string description = 3;
Specified by:

getDescription in interface ModelOrBuilder

Returns:

The description.

getDescriptionBytes
```
public com.google.protobuf.ByteString getDescriptionBytes()
```
```
 The description of the Model.
 
```
string description = 3;
Specified by:

getDescriptionBytes in interface ModelOrBuilder

Returns:

The bytes for description.

getVersionDescription
```
public String getVersionDescription()
```
```
 The description of this version.
 
```
string version_description = 30;
Specified by:

getVersionDescription in interface ModelOrBuilder

Returns:

The versionDescription.

getVersionDescriptionBytes
```
public com.google.protobuf.ByteString getVersionDescriptionBytes()
```
```
 The description of this version.
 
```
string version_description = 30;
Specified by:

getVersionDescriptionBytes in interface ModelOrBuilder

Returns:

The bytes for versionDescription.

hasPredictSchemata

public boolean hasPredictSchemata()

 The schemata that describe formats of the Model's predictions and
 explanations as given and returned via
 [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].

.google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;

Specified by:: hasPredictSchemata in interface ModelOrBuilder
Returns:: Whether the predictSchemata field is set.

getPredictSchemata

public PredictSchemata getPredictSchemata()

 The schemata that describe formats of the Model's predictions and
 explanations as given and returned via
 [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].

.google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;

Specified by:: getPredictSchemata in interface ModelOrBuilder
Returns:: The predictSchemata.

getPredictSchemataOrBuilder

public PredictSchemataOrBuilder getPredictSchemataOrBuilder()

 The schemata that describe formats of the Model's predictions and
 explanations as given and returned via
 [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].

.google.cloud.aiplatform.v1beta1.PredictSchemata predict_schemata = 4;

Specified by:: getPredictSchemataOrBuilder in interface ModelOrBuilder

getMetadataSchemaUri

public String getMetadataSchemaUri()

 Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
 information about the Model, that is specific to it. Unset if the Model
 does not have any additional information.
 The schema is defined as an OpenAPI 3.0.2 [Schema
 Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
 AutoML Models always have this field populated by Vertex AI, if no
 additional metadata is needed, this field is set to an empty string.
 Note: The URI given on output will be immutable and probably different,
 including the URI scheme, than the one given on input. The output URI will
 point to a location where the user only has a read access.

string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:: getMetadataSchemaUri in interface ModelOrBuilder
Returns:: The metadataSchemaUri.

getMetadataSchemaUriBytes

public com.google.protobuf.ByteString getMetadataSchemaUriBytes()

 Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
 information about the Model, that is specific to it. Unset if the Model
 does not have any additional information.
 The schema is defined as an OpenAPI 3.0.2 [Schema
 Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
 AutoML Models always have this field populated by Vertex AI, if no
 additional metadata is needed, this field is set to an empty string.
 Note: The URI given on output will be immutable and probably different,
 including the URI scheme, than the one given on input. The output URI will
 point to a location where the user only has a read access.

string metadata_schema_uri = 5 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:: getMetadataSchemaUriBytes in interface ModelOrBuilder
Returns:: The bytes for metadataSchemaUri.

hasMetadata

public boolean hasMetadata()

 Immutable. An additional information about the Model; the schema of the metadata can
 be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
 Unset if the Model does not have any additional information.

.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:: hasMetadata in interface ModelOrBuilder
Returns:: Whether the metadata field is set.

getMetadata

public com.google.protobuf.Value getMetadata()

 Immutable. An additional information about the Model; the schema of the metadata can
 be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
 Unset if the Model does not have any additional information.

.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:: getMetadata in interface ModelOrBuilder
Returns:: The metadata.

getMetadataOrBuilder

public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder()

 Immutable. An additional information about the Model; the schema of the metadata can
 be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
 Unset if the Model does not have any additional information.

.google.protobuf.Value metadata = 6 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:: getMetadataOrBuilder in interface ModelOrBuilder

getSupportedExportFormatsList
```
public List<Model.ExportFormat> getSupportedExportFormatsList()
```
```
 Output only. The formats in which this Model may be exported. If empty, this Model is
 not available for export.
 
```
repeated .google.cloud.aiplatform.v1beta1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getSupportedExportFormatsList in interface ModelOrBuilder

getSupportedExportFormatsOrBuilderList
```
public List<? extends Model.ExportFormatOrBuilder> getSupportedExportFormatsOrBuilderList()
```
```
 Output only. The formats in which this Model may be exported. If empty, this Model is
 not available for export.
 
```
repeated .google.cloud.aiplatform.v1beta1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getSupportedExportFormatsOrBuilderList in interface ModelOrBuilder

getSupportedExportFormatsCount
```
public int getSupportedExportFormatsCount()
```
```
 Output only. The formats in which this Model may be exported. If empty, this Model is
 not available for export.
 
```
repeated .google.cloud.aiplatform.v1beta1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getSupportedExportFormatsCount in interface ModelOrBuilder

getSupportedExportFormats
```
public Model.ExportFormat getSupportedExportFormats(int index)
```
```
 Output only. The formats in which this Model may be exported. If empty, this Model is
 not available for export.
 
```
repeated .google.cloud.aiplatform.v1beta1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getSupportedExportFormats in interface ModelOrBuilder

getSupportedExportFormatsOrBuilder
```
public Model.ExportFormatOrBuilder getSupportedExportFormatsOrBuilder(int index)
```
```
 Output only. The formats in which this Model may be exported. If empty, this Model is
 not available for export.
 
```
repeated .google.cloud.aiplatform.v1beta1.Model.ExportFormat supported_export_formats = 20 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getSupportedExportFormatsOrBuilder in interface ModelOrBuilder

getTrainingPipeline
```
public String getTrainingPipeline()
```
```
 Output only. The resource name of the TrainingPipeline that uploaded this Model, if
 any.
 
```
string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
Specified by:

getTrainingPipeline in interface ModelOrBuilder

Returns:

The trainingPipeline.

getTrainingPipelineBytes
```
public com.google.protobuf.ByteString getTrainingPipelineBytes()
```
```
 Output only. The resource name of the TrainingPipeline that uploaded this Model, if
 any.
 
```
string training_pipeline = 7 [(.google.api.field_behavior) = OUTPUT_ONLY, (.google.api.resource_reference) = { ... }
Specified by:

getTrainingPipelineBytes in interface ModelOrBuilder

Returns:

The bytes for trainingPipeline.

hasContainerSpec

public boolean hasContainerSpec()

 Input only. The specification of the container that is to be used when deploying
 this Model. The specification is ingested upon
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
 and stored internally by Vertex AI.
 Not present for AutoML Models.


 .google.cloud.aiplatform.v1beta1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];

Specified by:: hasContainerSpec in interface ModelOrBuilder
Returns:: Whether the containerSpec field is set.

getContainerSpec

public ModelContainerSpec getContainerSpec()

 Input only. The specification of the container that is to be used when deploying
 this Model. The specification is ingested upon
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
 and stored internally by Vertex AI.
 Not present for AutoML Models.


 .google.cloud.aiplatform.v1beta1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];

Specified by:: getContainerSpec in interface ModelOrBuilder
Returns:: The containerSpec.

getContainerSpecOrBuilder

public ModelContainerSpecOrBuilder getContainerSpecOrBuilder()

 Input only. The specification of the container that is to be used when deploying
 this Model. The specification is ingested upon
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
 and stored internally by Vertex AI.
 Not present for AutoML Models.


 .google.cloud.aiplatform.v1beta1.ModelContainerSpec container_spec = 9 [(.google.api.field_behavior) = INPUT_ONLY];

Specified by:: getContainerSpecOrBuilder in interface ModelOrBuilder

getArtifactUri

public String getArtifactUri()

 Immutable. The path to the directory containing the Model artifact and any of its
 supporting files.
 Not present for AutoML Models.

string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:: getArtifactUri in interface ModelOrBuilder
Returns:: The artifactUri.

getArtifactUriBytes

public com.google.protobuf.ByteString getArtifactUriBytes()

 Immutable. The path to the directory containing the Model artifact and any of its
 supporting files.
 Not present for AutoML Models.

string artifact_uri = 26 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:: getArtifactUriBytes in interface ModelOrBuilder
Returns:: The bytes for artifactUri.

getSupportedDeploymentResourcesTypesList

public List<Model.DeploymentResourcesType> getSupportedDeploymentResourcesTypesList()

 Output only. When this Model is deployed, its prediction resources are described by the
 `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
 Because not all Models support all resource configuration types, the
 configuration types this Model supports are listed here. If no
 configuration types are listed, the Model cannot be deployed to an
 [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
 online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
 using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
 [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
 [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].


 repeated .google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedDeploymentResourcesTypesList in interface ModelOrBuilder
Returns:: A list containing the supportedDeploymentResourcesTypes.

getSupportedDeploymentResourcesTypesCount

public int getSupportedDeploymentResourcesTypesCount()

 Output only. When this Model is deployed, its prediction resources are described by the
 `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
 Because not all Models support all resource configuration types, the
 configuration types this Model supports are listed here. If no
 configuration types are listed, the Model cannot be deployed to an
 [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
 online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
 using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
 [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
 [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].


 repeated .google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedDeploymentResourcesTypesCount in interface ModelOrBuilder
Returns:: The count of supportedDeploymentResourcesTypes.

getSupportedDeploymentResourcesTypes

public Model.DeploymentResourcesType getSupportedDeploymentResourcesTypes(int index)

 Output only. When this Model is deployed, its prediction resources are described by the
 `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
 Because not all Models support all resource configuration types, the
 configuration types this Model supports are listed here. If no
 configuration types are listed, the Model cannot be deployed to an
 [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
 online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
 using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
 [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
 [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].


 repeated .google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedDeploymentResourcesTypes in interface ModelOrBuilder
Parameters:: index - The index of the element to return.
Returns:: The supportedDeploymentResourcesTypes at the given index.

getSupportedDeploymentResourcesTypesValueList

public List<Integer> getSupportedDeploymentResourcesTypesValueList()

 Output only. When this Model is deployed, its prediction resources are described by the
 `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
 Because not all Models support all resource configuration types, the
 configuration types this Model supports are listed here. If no
 configuration types are listed, the Model cannot be deployed to an
 [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
 online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
 using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
 [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
 [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].


 repeated .google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedDeploymentResourcesTypesValueList in interface ModelOrBuilder
Returns:: A list containing the enum numeric values on the wire for supportedDeploymentResourcesTypes.

getSupportedDeploymentResourcesTypesValue

public int getSupportedDeploymentResourcesTypesValue(int index)

 Output only. When this Model is deployed, its prediction resources are described by the
 `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
 Because not all Models support all resource configuration types, the
 configuration types this Model supports are listed here. If no
 configuration types are listed, the Model cannot be deployed to an
 [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
 online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
 using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
 [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
 [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].


 repeated .google.cloud.aiplatform.v1beta1.Model.DeploymentResourcesType supported_deployment_resources_types = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedDeploymentResourcesTypesValue in interface ModelOrBuilder
Parameters:: index - The index of the value to return.
Returns:: The enum numeric value on the wire of supportedDeploymentResourcesTypes at the given index.

getSupportedInputStorageFormatsList

public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsList()

 Output only. The formats this Model supports in
 [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
 should be given as per that schema.
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each instance is a single line. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `csv`
 The CSV format, where each instance is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record`
 The TFRecord format, where each instance is a single record in tfrecord
 syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record-gzip`
 Similar to `tf-record`, but the file is gzipped. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `bigquery`
 Each instance is a single row in BigQuery. Uses
 [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
 * `file-list`
 Each line of the file is the location of an instance to process, uses
 `gcs_source` field of the
 [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedInputStorageFormatsList in interface ModelOrBuilder
Returns:: A list containing the supportedInputStorageFormats.

getSupportedInputStorageFormatsCount

public int getSupportedInputStorageFormatsCount()

 Output only. The formats this Model supports in
 [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
 should be given as per that schema.
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each instance is a single line. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `csv`
 The CSV format, where each instance is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record`
 The TFRecord format, where each instance is a single record in tfrecord
 syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record-gzip`
 Similar to `tf-record`, but the file is gzipped. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `bigquery`
 Each instance is a single row in BigQuery. Uses
 [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
 * `file-list`
 Each line of the file is the location of an instance to process, uses
 `gcs_source` field of the
 [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedInputStorageFormatsCount in interface ModelOrBuilder
Returns:: The count of supportedInputStorageFormats.

getSupportedInputStorageFormats

public String getSupportedInputStorageFormats(int index)

 Output only. The formats this Model supports in
 [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
 should be given as per that schema.
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each instance is a single line. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `csv`
 The CSV format, where each instance is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record`
 The TFRecord format, where each instance is a single record in tfrecord
 syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record-gzip`
 Similar to `tf-record`, but the file is gzipped. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `bigquery`
 Each instance is a single row in BigQuery. Uses
 [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
 * `file-list`
 Each line of the file is the location of an instance to process, uses
 `gcs_source` field of the
 [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedInputStorageFormats in interface ModelOrBuilder
Parameters:: index - The index of the element to return.
Returns:: The supportedInputStorageFormats at the given index.

getSupportedInputStorageFormatsBytes

public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int index)

 Output only. The formats this Model supports in
 [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
 should be given as per that schema.
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each instance is a single line. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `csv`
 The CSV format, where each instance is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record`
 The TFRecord format, where each instance is a single record in tfrecord
 syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `tf-record-gzip`
 Similar to `tf-record`, but the file is gzipped. Uses
 [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
 * `bigquery`
 Each instance is a single row in BigQuery. Uses
 [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
 * `file-list`
 Each line of the file is the location of an instance to process, uses
 `gcs_source` field of the
 [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_input_storage_formats = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedInputStorageFormatsBytes in interface ModelOrBuilder
Parameters:: index - The index of the value to return.
Returns:: The bytes of the supportedInputStorageFormats at the given index.

getSupportedOutputStorageFormatsList

public com.google.protobuf.ProtocolStringList getSupportedOutputStorageFormatsList()

 Output only. The formats this Model supports in
 [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
 [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
 are returned together with their instances. In other words, the
 prediction has the original instance data first, followed
 by the actual prediction content (as per the schema).
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each prediction is a single line. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `csv`
 The CSV format, where each prediction is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `bigquery`
 Each prediction is a single row in a BigQuery table, uses
 [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
 .
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedOutputStorageFormatsList in interface ModelOrBuilder
Returns:: A list containing the supportedOutputStorageFormats.

getSupportedOutputStorageFormatsCount

public int getSupportedOutputStorageFormatsCount()

 Output only. The formats this Model supports in
 [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
 [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
 are returned together with their instances. In other words, the
 prediction has the original instance data first, followed
 by the actual prediction content (as per the schema).
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each prediction is a single line. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `csv`
 The CSV format, where each prediction is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `bigquery`
 Each prediction is a single row in a BigQuery table, uses
 [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
 .
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedOutputStorageFormatsCount in interface ModelOrBuilder
Returns:: The count of supportedOutputStorageFormats.

getSupportedOutputStorageFormats

public String getSupportedOutputStorageFormats(int index)

 Output only. The formats this Model supports in
 [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
 [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
 are returned together with their instances. In other words, the
 prediction has the original instance data first, followed
 by the actual prediction content (as per the schema).
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each prediction is a single line. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `csv`
 The CSV format, where each prediction is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `bigquery`
 Each prediction is a single row in a BigQuery table, uses
 [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
 .
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedOutputStorageFormats in interface ModelOrBuilder
Parameters:: index - The index of the element to return.
Returns:: The supportedOutputStorageFormats at the given index.

getSupportedOutputStorageFormatsBytes

public com.google.protobuf.ByteString getSupportedOutputStorageFormatsBytes(int index)

 Output only. The formats this Model supports in
 [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
 [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
 [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
 are returned together with their instances. In other words, the
 prediction has the original instance data first, followed
 by the actual prediction content (as per the schema).
 The possible formats are:
 * `jsonl`
 The JSON Lines format, where each prediction is a single line. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `csv`
 The CSV format, where each prediction is a single comma-separated line.
 The first line in the file is the header, containing comma-separated field
 names. Uses
 [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
 * `bigquery`
 Each prediction is a single row in a BigQuery table, uses
 [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
 .
 If this Model doesn't support any of these formats it means it cannot be
 used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
 [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
 predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].


 repeated string supported_output_storage_formats = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getSupportedOutputStorageFormatsBytes in interface ModelOrBuilder
Parameters:: index - The index of the value to return.
Returns:: The bytes of the supportedOutputStorageFormats at the given index.

hasCreateTime
```
public boolean hasCreateTime()
```
```
 Output only. Timestamp when this Model was uploaded into Vertex AI.
 
```
.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasCreateTime in interface ModelOrBuilder

Returns:

Whether the createTime field is set.

getCreateTime
```
public com.google.protobuf.Timestamp getCreateTime()
```
```
 Output only. Timestamp when this Model was uploaded into Vertex AI.
 
```
.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getCreateTime in interface ModelOrBuilder

Returns:

The createTime.

getCreateTimeOrBuilder
```
public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
```
```
 Output only. Timestamp when this Model was uploaded into Vertex AI.
 
```
.google.protobuf.Timestamp create_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getCreateTimeOrBuilder in interface ModelOrBuilder

hasUpdateTime
```
public boolean hasUpdateTime()
```
```
 Output only. Timestamp when this Model was most recently updated.
 
```
.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasUpdateTime in interface ModelOrBuilder

Returns:

Whether the updateTime field is set.

getUpdateTime
```
public com.google.protobuf.Timestamp getUpdateTime()
```
```
 Output only. Timestamp when this Model was most recently updated.
 
```
.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getUpdateTime in interface ModelOrBuilder

Returns:

The updateTime.

getUpdateTimeOrBuilder
```
public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
```
```
 Output only. Timestamp when this Model was most recently updated.
 
```
.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getUpdateTimeOrBuilder in interface ModelOrBuilder

getDeployedModelsList

public List<DeployedModelRef> getDeployedModelsList()

 Output only. The pointers to DeployedModels created from this Model. Note that
 Model could have been deployed to Endpoints in different Locations.


 repeated .google.cloud.aiplatform.v1beta1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getDeployedModelsList in interface ModelOrBuilder

getDeployedModelsOrBuilderList

public List<? extends DeployedModelRefOrBuilder> getDeployedModelsOrBuilderList()

 Output only. The pointers to DeployedModels created from this Model. Note that
 Model could have been deployed to Endpoints in different Locations.


 repeated .google.cloud.aiplatform.v1beta1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getDeployedModelsOrBuilderList in interface ModelOrBuilder

getDeployedModelsCount
```
public int getDeployedModelsCount()
```
```
 Output only. The pointers to DeployedModels created from this Model. Note that
 Model could have been deployed to Endpoints in different Locations.
 
```
repeated .google.cloud.aiplatform.v1beta1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getDeployedModelsCount in interface ModelOrBuilder

getDeployedModels

public DeployedModelRef getDeployedModels(int index)

 Output only. The pointers to DeployedModels created from this Model. Note that
 Model could have been deployed to Endpoints in different Locations.


 repeated .google.cloud.aiplatform.v1beta1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getDeployedModels in interface ModelOrBuilder

getDeployedModelsOrBuilder

public DeployedModelRefOrBuilder getDeployedModelsOrBuilder(int index)

 Output only. The pointers to DeployedModels created from this Model. Note that
 Model could have been deployed to Endpoints in different Locations.


 repeated .google.cloud.aiplatform.v1beta1.DeployedModelRef deployed_models = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getDeployedModelsOrBuilder in interface ModelOrBuilder

hasExplanationSpec

public boolean hasExplanationSpec()

 The default explanation specification for this Model.
 The Model can be used for [requesting
 explanation][PredictionService.Explain] after being
 [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
 The Model can be used for [batch
 explanation][BatchPredictionJob.generate_explanation] if it is populated.
 All fields of the explanation_spec can be overridden by
 [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
 [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
 If the default explanation specification is not set for this Model, this
 Model can still be used for [requesting
 explanation][PredictionService.Explain] by setting
 [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
 [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
 explanation][BatchPredictionJob.generate_explanation] by setting
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;

Specified by:: hasExplanationSpec in interface ModelOrBuilder
Returns:: Whether the explanationSpec field is set.

getExplanationSpec

public ExplanationSpec getExplanationSpec()

 The default explanation specification for this Model.
 The Model can be used for [requesting
 explanation][PredictionService.Explain] after being
 [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
 The Model can be used for [batch
 explanation][BatchPredictionJob.generate_explanation] if it is populated.
 All fields of the explanation_spec can be overridden by
 [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
 [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
 If the default explanation specification is not set for this Model, this
 Model can still be used for [requesting
 explanation][PredictionService.Explain] by setting
 [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
 [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
 explanation][BatchPredictionJob.generate_explanation] by setting
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;

Specified by:: getExplanationSpec in interface ModelOrBuilder
Returns:: The explanationSpec.

getExplanationSpecOrBuilder

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

 The default explanation specification for this Model.
 The Model can be used for [requesting
 explanation][PredictionService.Explain] after being
 [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
 The Model can be used for [batch
 explanation][BatchPredictionJob.generate_explanation] if it is populated.
 All fields of the explanation_spec can be overridden by
 [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
 [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
 If the default explanation specification is not set for this Model, this
 Model can still be used for [requesting
 explanation][PredictionService.Explain] by setting
 [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
 [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
 explanation][BatchPredictionJob.generate_explanation] by setting
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;

Specified by:: getExplanationSpecOrBuilder in interface ModelOrBuilder

getEtag

public String getEtag()

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

string etag = 16;

Specified by:: getEtag in interface ModelOrBuilder
Returns:: The etag.

getEtagBytes

public com.google.protobuf.ByteString getEtagBytes()

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

string etag = 16;

Specified by:: getEtagBytes in interface ModelOrBuilder
Returns:: The bytes for etag.