Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::Tensorboard (v0.49.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Tensorboard.

Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#blob_storage_path_prefix

def blob_storage_path_prefix() -> ::String
Returns
  • (::String) — Output only. Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.

#create_time

def create_time() -> ::Google::Protobuf::Timestamp
Returns

#description

def description() -> ::String
Returns
  • (::String) — Description of this Tensorboard.

#description=

def description=(value) -> ::String
Parameter
  • value (::String) — Description of this Tensorboard.
Returns
  • (::String) — Description of this Tensorboard.

#display_name

def display_name() -> ::String
Returns
  • (::String) — Required. User provided name of this Tensorboard.

#display_name=

def display_name=(value) -> ::String
Parameter
  • value (::String) — Required. User provided name of this Tensorboard.
Returns
  • (::String) — Required. User provided name of this Tensorboard.

#encryption_spec

def encryption_spec() -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
Returns

#encryption_spec=

def encryption_spec=(value) -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
Parameter
Returns

#etag

def etag() -> ::String
Returns
  • (::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

#etag=

def etag=(value) -> ::String
Parameter
  • value (::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
Returns
  • (::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

#is_default

def is_default() -> ::Boolean
Returns
  • (::Boolean) — Used to indicate if the TensorBoard instance is the default one. Each project & region can have at most one default TensorBoard instance. Creation of a default TensorBoard instance and updating an existing TensorBoard instance to be default will mark all other TensorBoard instances (if any) as non default.

#is_default=

def is_default=(value) -> ::Boolean
Parameter
  • value (::Boolean) — Used to indicate if the TensorBoard instance is the default one. Each project & region can have at most one default TensorBoard instance. Creation of a default TensorBoard instance and updating an existing TensorBoard instance to be default will mark all other TensorBoard instances (if any) as non default.
Returns
  • (::Boolean) — Used to indicate if the TensorBoard instance is the default one. Each project & region can have at most one default TensorBoard instance. Creation of a default TensorBoard instance and updating an existing TensorBoard instance to be default will mark all other TensorBoard instances (if any) as non default.

#labels

def labels() -> ::Google::Protobuf::Map{::String => ::String}
Returns
  • (::Google::Protobuf::Map{::String => ::String}) — The labels with user-defined metadata to organize your Tensorboards.

    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. No more than 64 user labels can be associated with one Tensorboard (System labels are excluded).

    See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

#labels=

def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}
Parameter
  • value (::Google::Protobuf::Map{::String => ::String}) — The labels with user-defined metadata to organize your Tensorboards.

    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. No more than 64 user labels can be associated with one Tensorboard (System labels are excluded).

    See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

Returns
  • (::Google::Protobuf::Map{::String => ::String}) — The labels with user-defined metadata to organize your Tensorboards.

    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. No more than 64 user labels can be associated with one Tensorboard (System labels are excluded).

    See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

#name

def name() -> ::String
Returns
  • (::String) — Output only. Name of the Tensorboard. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

#run_count

def run_count() -> ::Integer
Returns
  • (::Integer) — Output only. The number of Runs stored in this Tensorboard.

#satisfies_pzi

def satisfies_pzi() -> ::Boolean
Returns
  • (::Boolean) — Output only. Reserved for future use.

#satisfies_pzs

def satisfies_pzs() -> ::Boolean
Returns
  • (::Boolean) — Output only. Reserved for future use.

#update_time

def update_time() -> ::Google::Protobuf::Timestamp
Returns