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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 GCP 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
- (::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
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this Tensorboard was created.
#description
def description() -> ::String
- (::String) — Description of this Tensorboard.
#description=
def description=(value) -> ::String
- value (::String) — Description of this Tensorboard.
- (::String) — Description of this Tensorboard.
#display_name
def display_name() -> ::String
- (::String) — Required. User provided name of this Tensorboard.
#display_name=
def display_name=(value) -> ::String
- value (::String) — Required. User provided name of this Tensorboard.
- (::String) — Required. User provided name of this Tensorboard.
#encryption_spec
def encryption_spec() -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
#encryption_spec=
def encryption_spec=(value) -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- value (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
#etag
def etag() -> ::String
- (::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#etag=
def etag=(value) -> ::String
- value (::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- (::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#labels
def labels() -> ::Google::Protobuf::Map{::String => ::String}
-
(::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}
-
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.
-
(::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
-
(::String) — Output only. Name of the Tensorboard.
Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}
#run_count
def run_count() -> ::Integer
- (::Integer) — Output only. The number of Runs stored in this Tensorboard.
#update_time
def update_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this Tensorboard was last updated.