Class TensorboardTimeSeries (2.5.3)

public final class TensorboardTimeSeries extends GeneratedMessageV3 implements TensorboardTimeSeriesOrBuilder

TensorboardTimeSeries maps to times series produced in training runs

Protobuf type google.cloud.aiplatform.v1.TensorboardTimeSeries

Fields

CREATE_TIME_FIELD_NUMBER

public static final int CREATE_TIME_FIELD_NUMBER
Field Value
TypeDescription
int

DESCRIPTION_FIELD_NUMBER

public static final int DESCRIPTION_FIELD_NUMBER
Field Value
TypeDescription
int

DISPLAY_NAME_FIELD_NUMBER

public static final int DISPLAY_NAME_FIELD_NUMBER
Field Value
TypeDescription
int

ETAG_FIELD_NUMBER

public static final int ETAG_FIELD_NUMBER
Field Value
TypeDescription
int

METADATA_FIELD_NUMBER

public static final int METADATA_FIELD_NUMBER
Field Value
TypeDescription
int

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER
Field Value
TypeDescription
int

PLUGIN_DATA_FIELD_NUMBER

public static final int PLUGIN_DATA_FIELD_NUMBER
Field Value
TypeDescription
int

PLUGIN_NAME_FIELD_NUMBER

public static final int PLUGIN_NAME_FIELD_NUMBER
Field Value
TypeDescription
int

UPDATE_TIME_FIELD_NUMBER

public static final int UPDATE_TIME_FIELD_NUMBER
Field Value
TypeDescription
int

VALUE_TYPE_FIELD_NUMBER

public static final int VALUE_TYPE_FIELD_NUMBER
Field Value
TypeDescription
int

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this TensorboardTimeSeries was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
Timestamp

The createTime.

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this TensorboardTimeSeries was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TimestampOrBuilder

getDefaultInstance()

public static TensorboardTimeSeries getDefaultInstance()
Returns
TypeDescription
TensorboardTimeSeries

getDefaultInstanceForType()

public TensorboardTimeSeries getDefaultInstanceForType()
Returns
TypeDescription
TensorboardTimeSeries

getDescription()

public String getDescription()

Description of this TensorboardTimeSeries.

string description = 3;

Returns
TypeDescription
String

The description.

getDescriptionBytes()

public ByteString getDescriptionBytes()

Description of this TensorboardTimeSeries.

string description = 3;

Returns
TypeDescription
ByteString

The bytes for description.

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDisplayName()

public String getDisplayName()

Required. User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).

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

Returns
TypeDescription
String

The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).

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

Returns
TypeDescription
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 = 7;

Returns
TypeDescription
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 = 7;

Returns
TypeDescription
ByteString

The bytes for etag.

getMetadata()

public TensorboardTimeSeries.Metadata getMetadata()

Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.

.google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata metadata = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TensorboardTimeSeries.Metadata

The metadata.

getMetadataOrBuilder()

public TensorboardTimeSeries.MetadataOrBuilder getMetadataOrBuilder()

Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.

.google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata metadata = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TensorboardTimeSeries.MetadataOrBuilder

getName()

public String getName()

Output only. Name of the TensorboardTimeSeries.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
String

The name.

getNameBytes()

public ByteString getNameBytes()

Output only. Name of the TensorboardTimeSeries.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
ByteString

The bytes for name.

getParserForType()

public Parser<TensorboardTimeSeries> getParserForType()
Returns
TypeDescription
Parser<TensorboardTimeSeries>
Overrides

getPluginData()

public ByteString getPluginData()

Data of the current plugin, with the size limited to 65KB.

bytes plugin_data = 9;

Returns
TypeDescription
ByteString

The pluginData.

getPluginName()

public String getPluginName()

Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob

string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns
TypeDescription
String

The pluginName.

getPluginNameBytes()

public ByteString getPluginNameBytes()

Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob

string plugin_name = 8 [(.google.api.field_behavior) = IMMUTABLE];

Returns
TypeDescription
ByteString

The bytes for pluginName.

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Timestamp when this TensorboardTimeSeries was last updated.

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
Timestamp

The updateTime.

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp when this TensorboardTimeSeries was last updated.

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TimestampOrBuilder

getValueType()

public TensorboardTimeSeries.ValueType getValueType()

Required. Immutable. Type of TensorboardTimeSeries value.

.google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueType value_type = 4 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Returns
TypeDescription
TensorboardTimeSeries.ValueType

The valueType.

getValueTypeValue()

public int getValueTypeValue()

Required. Immutable. Type of TensorboardTimeSeries value.

.google.cloud.aiplatform.v1.TensorboardTimeSeries.ValueType value_type = 4 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Returns
TypeDescription
int

The enum numeric value on the wire for valueType.

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this TensorboardTimeSeries was created.

.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
boolean

Whether the createTime field is set.

hasMetadata()

public boolean hasMetadata()

Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.

.google.cloud.aiplatform.v1.TensorboardTimeSeries.Metadata metadata = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
boolean

Whether the metadata field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Timestamp when this TensorboardTimeSeries was last updated.

.google.protobuf.Timestamp update_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
boolean

Whether the updateTime field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilder()

public static TensorboardTimeSeries.Builder newBuilder()
Returns
TypeDescription
TensorboardTimeSeries.Builder

newBuilder(TensorboardTimeSeries prototype)

public static TensorboardTimeSeries.Builder newBuilder(TensorboardTimeSeries prototype)
Parameter
NameDescription
prototypeTensorboardTimeSeries
Returns
TypeDescription
TensorboardTimeSeries.Builder

newBuilderForType()

public TensorboardTimeSeries.Builder newBuilderForType()
Returns
TypeDescription
TensorboardTimeSeries.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected TensorboardTimeSeries.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
TensorboardTimeSeries.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

parseDelimitedFrom(InputStream input)

public static TensorboardTimeSeries parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TensorboardTimeSeries parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static TensorboardTimeSeries parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static TensorboardTimeSeries parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static TensorboardTimeSeries parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static TensorboardTimeSeries parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static TensorboardTimeSeries parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static TensorboardTimeSeries parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static TensorboardTimeSeries parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TensorboardTimeSeries parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static TensorboardTimeSeries parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static TensorboardTimeSeries parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TensorboardTimeSeries
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<TensorboardTimeSeries> parser()
Returns
TypeDescription
Parser<TensorboardTimeSeries>

toBuilder()

public TensorboardTimeSeries.Builder toBuilder()
Returns
TypeDescription
TensorboardTimeSeries.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException