Interface ExportDataConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ExportDataConfig, ExportDataConfig.Builder

@Generated public interface ExportDataConfigOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • hasGcsDestination

      boolean hasGcsDestination()
       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.
       
      .google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;
      Returns:
      Whether the gcsDestination field is set.
    • getGcsDestination

      GcsDestination getGcsDestination()
       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.
       
      .google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;
      Returns:
      The gcsDestination.
    • getGcsDestinationOrBuilder

      GcsDestinationOrBuilder getGcsDestinationOrBuilder()
       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.
       
      .google.cloud.aiplatform.v1.GcsDestination gcs_destination = 1;
    • hasFractionSplit

      boolean hasFractionSplit()
       Split based on fractions defining the size of each set.
       
      .google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
      Returns:
      Whether the fractionSplit field is set.
    • getFractionSplit

      ExportFractionSplit getFractionSplit()
       Split based on fractions defining the size of each set.
       
      .google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
      Returns:
      The fractionSplit.
    • getFractionSplitOrBuilder

      ExportFractionSplitOrBuilder getFractionSplitOrBuilder()
       Split based on fractions defining the size of each set.
       
      .google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
    • hasFilterSplit

      boolean hasFilterSplit()
       Split based on the provided filters for each set.
       
      .google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
      Returns:
      Whether the filterSplit field is set.
    • getFilterSplit

      ExportFilterSplit getFilterSplit()
       Split based on the provided filters for each set.
       
      .google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
      Returns:
      The filterSplit.
    • getFilterSplitOrBuilder

      ExportFilterSplitOrBuilder getFilterSplitOrBuilder()
       Split based on the provided filters for each set.
       
      .google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
    • getAnnotationsFilter

      String getAnnotationsFilter()
       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][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
       
      string annotations_filter = 2;
      Returns:
      The annotationsFilter.
    • getAnnotationsFilterBytes

      com.google.protobuf.ByteString getAnnotationsFilterBytes()
       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][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
       
      string annotations_filter = 2;
      Returns:
      The bytes for annotationsFilter.
    • getSavedQueryId

      String getSavedQueryId()
       The ID of a SavedQuery (annotation set) under the Dataset specified by
       [ExportDataRequest.name][google.cloud.aiplatform.v1.ExportDataRequest.name]
       used for filtering Annotations for training.
      
       Only used for custom training data export use cases.
       Only applicable to Datasets that have SavedQueries.
      
       Only Annotations that are associated with this SavedQuery are used in
       respectively training. When used in conjunction with
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter],
       the Annotations used for training are filtered by both
       [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id]
       and
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter].
      
       Only one of
       [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id]
       and
       [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri]
       should be specified as both of them represent the same thing: problem type.
       
      string saved_query_id = 11;
      Returns:
      The savedQueryId.
    • getSavedQueryIdBytes

      com.google.protobuf.ByteString getSavedQueryIdBytes()
       The ID of a SavedQuery (annotation set) under the Dataset specified by
       [ExportDataRequest.name][google.cloud.aiplatform.v1.ExportDataRequest.name]
       used for filtering Annotations for training.
      
       Only used for custom training data export use cases.
       Only applicable to Datasets that have SavedQueries.
      
       Only Annotations that are associated with this SavedQuery are used in
       respectively training. When used in conjunction with
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter],
       the Annotations used for training are filtered by both
       [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id]
       and
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter].
      
       Only one of
       [saved_query_id][google.cloud.aiplatform.v1.ExportDataConfig.saved_query_id]
       and
       [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri]
       should be specified as both of them represent the same thing: problem type.
       
      string saved_query_id = 11;
      Returns:
      The bytes for savedQueryId.
    • getAnnotationSchemaUri

      String getAnnotationSchemaUri()
       The Cloud Storage URI that points to a YAML file describing the annotation
       schema. The schema is defined as an OpenAPI 3.0.2 [Schema
       Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
       The schema files that can be used here are found in
       gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
       chosen schema must be consistent with
       [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
       Dataset specified by
       [ExportDataRequest.name][google.cloud.aiplatform.v1.ExportDataRequest.name].
      
       Only used for custom training data export use cases.
       Only applicable to Datasets that have DataItems and Annotations.
      
       Only Annotations that both match this schema and belong to DataItems not
       ignored by the split method are used in respectively training, validation
       or test role, depending on the role of the DataItem they are on.
      
       When used in conjunction with
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter],
       the Annotations used for training are filtered by both
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter]
       and
       [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri].
       
      string annotation_schema_uri = 12;
      Returns:
      The annotationSchemaUri.
    • getAnnotationSchemaUriBytes

      com.google.protobuf.ByteString getAnnotationSchemaUriBytes()
       The Cloud Storage URI that points to a YAML file describing the annotation
       schema. The schema is defined as an OpenAPI 3.0.2 [Schema
       Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
       The schema files that can be used here are found in
       gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
       chosen schema must be consistent with
       [metadata][google.cloud.aiplatform.v1.Dataset.metadata_schema_uri] of the
       Dataset specified by
       [ExportDataRequest.name][google.cloud.aiplatform.v1.ExportDataRequest.name].
      
       Only used for custom training data export use cases.
       Only applicable to Datasets that have DataItems and Annotations.
      
       Only Annotations that both match this schema and belong to DataItems not
       ignored by the split method are used in respectively training, validation
       or test role, depending on the role of the DataItem they are on.
      
       When used in conjunction with
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter],
       the Annotations used for training are filtered by both
       [annotations_filter][google.cloud.aiplatform.v1.ExportDataConfig.annotations_filter]
       and
       [annotation_schema_uri][google.cloud.aiplatform.v1.ExportDataConfig.annotation_schema_uri].
       
      string annotation_schema_uri = 12;
      Returns:
      The bytes for annotationSchemaUri.
    • getExportUseValue

      int getExportUseValue()
       Indicates the usage of the exported files.
       
      .google.cloud.aiplatform.v1.ExportDataConfig.ExportUse export_use = 4;
      Returns:
      The enum numeric value on the wire for exportUse.
    • getExportUse

       Indicates the usage of the exported files.
       
      .google.cloud.aiplatform.v1.ExportDataConfig.ExportUse export_use = 4;
      Returns:
      The exportUse.
    • getDestinationCase

      ExportDataConfig.DestinationCase getDestinationCase()
    • getSplitCase