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public interface ExportDataConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getAnnotationSchemaUri()
public abstract 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. 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 of the Dataset specified by 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, the Annotations used for training are filtered by both annotations_filter and annotation_schema_uri.
string annotation_schema_uri = 12;
| Returns | |
|---|---|
| Type | Description |
String |
The annotationSchemaUri. |
getAnnotationSchemaUriBytes()
public abstract 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. 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 of the Dataset specified by 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, the Annotations used for training are filtered by both annotations_filter and annotation_schema_uri.
string annotation_schema_uri = 12;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for annotationSchemaUri. |
getAnnotationsFilter()
public abstract 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.
string annotations_filter = 2;
| Returns | |
|---|---|
| Type | Description |
String |
The annotationsFilter. |
getAnnotationsFilterBytes()
public abstract 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.
string annotations_filter = 2;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for annotationsFilter. |
getDestinationCase()
public abstract ExportDataConfig.DestinationCase getDestinationCase()| Returns | |
|---|---|
| Type | Description |
ExportDataConfig.DestinationCase |
|
getExportUse()
public abstract ExportDataConfig.ExportUse getExportUse()Indicates the usage of the exported files.
.google.cloud.aiplatform.v1.ExportDataConfig.ExportUse export_use = 4;
| Returns | |
|---|---|
| Type | Description |
ExportDataConfig.ExportUse |
The exportUse. |
getExportUseValue()
public abstract int getExportUseValue()Indicates the usage of the exported files.
.google.cloud.aiplatform.v1.ExportDataConfig.ExportUse export_use = 4;
| Returns | |
|---|---|
| Type | Description |
int |
The enum numeric value on the wire for exportUse. |
getFilterSplit()
public abstract ExportFilterSplit getFilterSplit()Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
| Returns | |
|---|---|
| Type | Description |
ExportFilterSplit |
The filterSplit. |
getFilterSplitOrBuilder()
public abstract ExportFilterSplitOrBuilder getFilterSplitOrBuilder()Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
| Returns | |
|---|---|
| Type | Description |
ExportFilterSplitOrBuilder |
|
getFractionSplit()
public abstract ExportFractionSplit getFractionSplit()Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
| Returns | |
|---|---|
| Type | Description |
ExportFractionSplit |
The fractionSplit. |
getFractionSplitOrBuilder()
public abstract ExportFractionSplitOrBuilder getFractionSplitOrBuilder()Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
| Returns | |
|---|---|
| Type | Description |
ExportFractionSplitOrBuilder |
|
getGcsDestination()
public abstract 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 | |
|---|---|
| Type | Description |
GcsDestination |
The gcsDestination. |
getGcsDestinationOrBuilder()
public abstract 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;
| Returns | |
|---|---|
| Type | Description |
GcsDestinationOrBuilder |
|
getSavedQueryId()
public abstract String getSavedQueryId()The ID of a SavedQuery (annotation set) under the Dataset specified by 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, the Annotations used for training are filtered by both saved_query_id and annotations_filter.
Only one of saved_query_id and annotation_schema_uri should be specified as both of them represent the same thing: problem type.
string saved_query_id = 11;
| Returns | |
|---|---|
| Type | Description |
String |
The savedQueryId. |
getSavedQueryIdBytes()
public abstract ByteString getSavedQueryIdBytes()The ID of a SavedQuery (annotation set) under the Dataset specified by 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, the Annotations used for training are filtered by both saved_query_id and annotations_filter.
Only one of saved_query_id and annotation_schema_uri should be specified as both of them represent the same thing: problem type.
string saved_query_id = 11;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for savedQueryId. |
getSplitCase()
public abstract ExportDataConfig.SplitCase getSplitCase()| Returns | |
|---|---|
| Type | Description |
ExportDataConfig.SplitCase |
|
hasFilterSplit()
public abstract boolean hasFilterSplit()Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the filterSplit field is set. |
hasFractionSplit()
public abstract boolean hasFractionSplit()Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the fractionSplit field is set. |
hasGcsDestination()
public abstract 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 | |
|---|---|
| Type | Description |
boolean |
Whether the gcsDestination field is set. |