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) — An expression for filtering what part of the Dataset is to be exported. Only Annotations 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) — An expression for filtering what part of the Dataset is to be exported. Only Annotations that match this filter will be exported. The filter syntax is the same as in ListAnnotations.
Returns
- (::String) — An expression for filtering what part of the Dataset is to be exported. Only Annotations 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
- (::Google::Cloud::AIPlatform::V1::ExportFractionSplit) — Split based on fractions defining the size of each set.
#fraction_split=
def fraction_split=(value) -> ::Google::Cloud::AIPlatform::V1::ExportFractionSplit
Parameter
- value (::Google::Cloud::AIPlatform::V1::ExportFractionSplit) — Split based on fractions defining the size of each set.
Returns
- (::Google::Cloud::AIPlatform::V1::ExportFractionSplit) — Split based on fractions defining the size of each set.
#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.