Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ExportDataConfig (v0.21.0)

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

Describes what part of the Dataset is to be exported, the destination of the export and how to export.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#annotations_filter

def annotations_filter() -> ::String
Returns
  • (::String) — A filter on Annotations of the Dataset. Only Annotations on to-be-exported DataItems(specified by [data_items_filter][]) that match this filter will be exported. The filter syntax is the same as in ListAnnotations.

#annotations_filter=

def annotations_filter=(value) -> ::String
Parameter
  • value (::String) — A filter on Annotations of the Dataset. Only Annotations on to-be-exported DataItems(specified by [data_items_filter][]) that match this filter will be exported. The filter syntax is the same as in ListAnnotations.
Returns
  • (::String) — A filter on Annotations of the Dataset. Only Annotations on to-be-exported DataItems(specified by [data_items_filter][]) that match this filter will be exported. The filter syntax is the same as in ListAnnotations.

#fraction_split

def fraction_split() -> ::Google::Cloud::AIPlatform::V1::ExportFractionSplit
Returns

#fraction_split=

def fraction_split=(value) -> ::Google::Cloud::AIPlatform::V1::ExportFractionSplit
Parameter
Returns

#gcs_destination

def gcs_destination() -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Returns
  • (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Google Cloud Storage location where the output is to be written to. In the given directory a new directory will be created with name: export-data-<dataset-display-name>-<timestamp-of-export-call> where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export output will be written into that directory. Inside that directory, annotations with the same schema will be grouped into sub directories which are named with the corresponding annotations' schema title. Inside these sub directories, a schema.yaml will be created to describe the output format.

#gcs_destination=

def gcs_destination=(value) -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Parameter
  • value (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Google Cloud Storage location where the output is to be written to. In the given directory a new directory will be created with name: export-data-<dataset-display-name>-<timestamp-of-export-call> where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export output will be written into that directory. Inside that directory, annotations with the same schema will be grouped into sub directories which are named with the corresponding annotations' schema title. Inside these sub directories, a schema.yaml will be created to describe the output format.
Returns
  • (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Google Cloud Storage location where the output is to be written to. In the given directory a new directory will be created with name: export-data-<dataset-display-name>-<timestamp-of-export-call> where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export output will be written into that directory. Inside that directory, annotations with the same schema will be grouped into sub directories which are named with the corresponding annotations' schema title. Inside these sub directories, a schema.yaml will be created to describe the output format.