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public static final class ExportDataConfig.Builder extends GeneratedMessageV3.Builder<ExportDataConfig.Builder> implements ExportDataConfigOrBuilder
Describes what part of the Dataset is to be exported, the destination of the export and how to export.
Protobuf type google.cloud.aiplatform.v1.ExportDataConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ExportDataConfig.BuilderImplements
ExportDataConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ExportDataConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
build()
public ExportDataConfig build()
Returns | |
---|---|
Type | Description |
ExportDataConfig |
buildPartial()
public ExportDataConfig buildPartial()
Returns | |
---|---|
Type | Description |
ExportDataConfig |
clear()
public ExportDataConfig.Builder clear()
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
clearAnnotationSchemaUri()
public ExportDataConfig.Builder clearAnnotationSchemaUri()
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 [dataset_id][].
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 |
ExportDataConfig.Builder | This builder for chaining. |
clearAnnotationsFilter()
public ExportDataConfig.Builder clearAnnotationsFilter()
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 |
ExportDataConfig.Builder | This builder for chaining. |
clearDestination()
public ExportDataConfig.Builder clearDestination()
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
clearExportUse()
public ExportDataConfig.Builder clearExportUse()
Indicates the usage of the exported files.
.google.cloud.aiplatform.v1.ExportDataConfig.ExportUse export_use = 4;
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ExportDataConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field | FieldDescriptor |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
clearFilterSplit()
public ExportDataConfig.Builder clearFilterSplit()
Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
clearFractionSplit()
public ExportDataConfig.Builder clearFractionSplit()
Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
clearGcsDestination()
public ExportDataConfig.Builder clearGcsDestination()
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 |
ExportDataConfig.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ExportDataConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof | OneofDescriptor |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
clearSavedQueryId()
public ExportDataConfig.Builder clearSavedQueryId()
The ID of a SavedQuery (annotation set) under the Dataset specified by [dataset_id][] 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 |
ExportDataConfig.Builder | This builder for chaining. |
clearSplit()
public ExportDataConfig.Builder clearSplit()
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
clone()
public ExportDataConfig.Builder clone()
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
getAnnotationSchemaUri()
public 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 [dataset_id][].
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 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 [dataset_id][].
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 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 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. |
getDefaultInstanceForType()
public ExportDataConfig getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
ExportDataConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getDestinationCase()
public ExportDataConfig.DestinationCase getDestinationCase()
Returns | |
---|---|
Type | Description |
ExportDataConfig.DestinationCase |
getExportUse()
public 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 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 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. |
getFilterSplitBuilder()
public ExportFilterSplit.Builder getFilterSplitBuilder()
Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
Returns | |
---|---|
Type | Description |
ExportFilterSplit.Builder |
getFilterSplitOrBuilder()
public 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 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. |
getFractionSplitBuilder()
public ExportFractionSplit.Builder getFractionSplitBuilder()
Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
Returns | |
---|---|
Type | Description |
ExportFractionSplit.Builder |
getFractionSplitOrBuilder()
public 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 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. |
getGcsDestinationBuilder()
public GcsDestination.Builder getGcsDestinationBuilder()
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.Builder |
getGcsDestinationOrBuilder()
public 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 String getSavedQueryId()
The ID of a SavedQuery (annotation set) under the Dataset specified by [dataset_id][] 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 ByteString getSavedQueryIdBytes()
The ID of a SavedQuery (annotation set) under the Dataset specified by [dataset_id][] 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 ExportDataConfig.SplitCase getSplitCase()
Returns | |
---|---|
Type | Description |
ExportDataConfig.SplitCase |
hasFilterSplit()
public 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 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 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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeFilterSplit(ExportFilterSplit value)
public ExportDataConfig.Builder mergeFilterSplit(ExportFilterSplit value)
Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
Parameter | |
---|---|
Name | Description |
value | ExportFilterSplit |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
mergeFractionSplit(ExportFractionSplit value)
public ExportDataConfig.Builder mergeFractionSplit(ExportFractionSplit value)
Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
Parameter | |
---|---|
Name | Description |
value | ExportFractionSplit |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
mergeFrom(ExportDataConfig other)
public ExportDataConfig.Builder mergeFrom(ExportDataConfig other)
Parameter | |
---|---|
Name | Description |
other | ExportDataConfig |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ExportDataConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public ExportDataConfig.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other | Message |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
mergeGcsDestination(GcsDestination value)
public ExportDataConfig.Builder mergeGcsDestination(GcsDestination value)
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;
Parameter | |
---|---|
Name | Description |
value | GcsDestination |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ExportDataConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setAnnotationSchemaUri(String value)
public ExportDataConfig.Builder setAnnotationSchemaUri(String value)
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 [dataset_id][].
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;
Parameter | |
---|---|
Name | Description |
value | String The annotationSchemaUri to set. |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setAnnotationSchemaUriBytes(ByteString value)
public ExportDataConfig.Builder setAnnotationSchemaUriBytes(ByteString value)
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 [dataset_id][].
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;
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for annotationSchemaUri to set. |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setAnnotationsFilter(String value)
public ExportDataConfig.Builder setAnnotationsFilter(String value)
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;
Parameter | |
---|---|
Name | Description |
value | String The annotationsFilter to set. |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setAnnotationsFilterBytes(ByteString value)
public ExportDataConfig.Builder setAnnotationsFilterBytes(ByteString value)
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;
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for annotationsFilter to set. |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setExportUse(ExportDataConfig.ExportUse value)
public ExportDataConfig.Builder setExportUse(ExportDataConfig.ExportUse value)
Indicates the usage of the exported files.
.google.cloud.aiplatform.v1.ExportDataConfig.ExportUse export_use = 4;
Parameter | |
---|---|
Name | Description |
value | ExportDataConfig.ExportUse The exportUse to set. |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setExportUseValue(int value)
public ExportDataConfig.Builder setExportUseValue(int value)
Indicates the usage of the exported files.
.google.cloud.aiplatform.v1.ExportDataConfig.ExportUse export_use = 4;
Parameter | |
---|---|
Name | Description |
value | int The enum numeric value on the wire for exportUse to set. |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ExportDataConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setFilterSplit(ExportFilterSplit value)
public ExportDataConfig.Builder setFilterSplit(ExportFilterSplit value)
Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
Parameter | |
---|---|
Name | Description |
value | ExportFilterSplit |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setFilterSplit(ExportFilterSplit.Builder builderForValue)
public ExportDataConfig.Builder setFilterSplit(ExportFilterSplit.Builder builderForValue)
Split based on the provided filters for each set.
.google.cloud.aiplatform.v1.ExportFilterSplit filter_split = 7;
Parameter | |
---|---|
Name | Description |
builderForValue | ExportFilterSplit.Builder |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setFractionSplit(ExportFractionSplit value)
public ExportDataConfig.Builder setFractionSplit(ExportFractionSplit value)
Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
Parameter | |
---|---|
Name | Description |
value | ExportFractionSplit |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setFractionSplit(ExportFractionSplit.Builder builderForValue)
public ExportDataConfig.Builder setFractionSplit(ExportFractionSplit.Builder builderForValue)
Split based on fractions defining the size of each set.
.google.cloud.aiplatform.v1.ExportFractionSplit fraction_split = 5;
Parameter | |
---|---|
Name | Description |
builderForValue | ExportFractionSplit.Builder |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setGcsDestination(GcsDestination value)
public ExportDataConfig.Builder setGcsDestination(GcsDestination value)
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;
Parameter | |
---|---|
Name | Description |
value | GcsDestination |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setGcsDestination(GcsDestination.Builder builderForValue)
public ExportDataConfig.Builder setGcsDestination(GcsDestination.Builder builderForValue)
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;
Parameter | |
---|---|
Name | Description |
builderForValue | GcsDestination.Builder |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ExportDataConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Returns | |
---|---|
Type | Description |
ExportDataConfig.Builder |
setSavedQueryId(String value)
public ExportDataConfig.Builder setSavedQueryId(String value)
The ID of a SavedQuery (annotation set) under the Dataset specified by [dataset_id][] 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;
Parameter | |
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Name | Description |
value | String The savedQueryId to set. |
Returns | |
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Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setSavedQueryIdBytes(ByteString value)
public ExportDataConfig.Builder setSavedQueryIdBytes(ByteString value)
The ID of a SavedQuery (annotation set) under the Dataset specified by [dataset_id][] 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;
Parameter | |
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Name | Description |
value | ByteString The bytes for savedQueryId to set. |
Returns | |
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Type | Description |
ExportDataConfig.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final ExportDataConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
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Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
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Type | Description |
ExportDataConfig.Builder |