Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ExportModelRequest::OutputConfig (v0.15.0)

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

Output configuration for the Model export.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#artifact_destination

def artifact_destination() -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Returns
  • (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Cloud Storage location where the Model artifact is to be written to. Under the directory given as the destination a new one with name "model-export-<model-display-name>-<timestamp-of-export-call>", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside, the Model and any of its supporting files will be written. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains ARTIFACT.

#artifact_destination=

def artifact_destination=(value) -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Parameter
  • value (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Cloud Storage location where the Model artifact is to be written to. Under the directory given as the destination a new one with name "model-export-<model-display-name>-<timestamp-of-export-call>", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside, the Model and any of its supporting files will be written. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains ARTIFACT.
Returns
  • (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Cloud Storage location where the Model artifact is to be written to. Under the directory given as the destination a new one with name "model-export-<model-display-name>-<timestamp-of-export-call>", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside, the Model and any of its supporting files will be written. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains ARTIFACT.

#export_format_id

def export_format_id() -> ::String
Returns
  • (::String) — The ID of the format in which the Model must be exported. Each Model lists the export formats it supports. If no value is provided here, then the first from the list of the Model's supported formats is used by default.

#export_format_id=

def export_format_id=(value) -> ::String
Parameter
  • value (::String) — The ID of the format in which the Model must be exported. Each Model lists the export formats it supports. If no value is provided here, then the first from the list of the Model's supported formats is used by default.
Returns
  • (::String) — The ID of the format in which the Model must be exported. Each Model lists the export formats it supports. If no value is provided here, then the first from the list of the Model's supported formats is used by default.

#image_destination

def image_destination() -> ::Google::Cloud::AIPlatform::V1::ContainerRegistryDestination
Returns

#image_destination=

def image_destination=(value) -> ::Google::Cloud::AIPlatform::V1::ContainerRegistryDestination
Parameter
  • value (::Google::Cloud::AIPlatform::V1::ContainerRegistryDestination) — The Google Container Registry or Artifact Registry uri where the Model container image will be copied to. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains IMAGE.
Returns