com.google.cloud.aiplatform.v1beta1

Class InputDataConfig

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessageV3

com.google.cloud.aiplatform.v1beta1.InputDataConfig

All Implemented Interfaces:

InputDataConfigOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable

public final class InputDataConfig
extends com.google.protobuf.GeneratedMessageV3
implements InputDataConfigOrBuilder

 Specifies Vertex AI owned input data to be used for training, and
 possibly evaluating, the Model.
 

Protobuf type google.cloud.aiplatform.v1beta1.InputDataConfig

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	InputDataConfig.Builder Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.
static class	InputDataConfig.DestinationCase
static class	InputDataConfig.SplitCase

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3

com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	ANNOTATION_SCHEMA_URI_FIELD_NUMBER
static int	ANNOTATIONS_FILTER_FIELD_NUMBER
static int	BIGQUERY_DESTINATION_FIELD_NUMBER
static int	DATASET_ID_FIELD_NUMBER
static int	FILTER_SPLIT_FIELD_NUMBER
static int	FRACTION_SPLIT_FIELD_NUMBER
static int	GCS_DESTINATION_FIELD_NUMBER
static int	PREDEFINED_SPLIT_FIELD_NUMBER
static int	SAVED_QUERY_ID_FIELD_NUMBER
static int	STRATIFIED_SPLIT_FIELD_NUMBER
static int	TIMESTAMP_SPLIT_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage

memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
String	getAnnotationSchemaUri() Applicable only to custom training with Datasets that have DataItems and Annotations.
com.google.protobuf.ByteString	getAnnotationSchemaUriBytes() Applicable only to custom training with Datasets that have DataItems and Annotations.
String	getAnnotationsFilter() Applicable only to Datasets that have DataItems and Annotations.
com.google.protobuf.ByteString	getAnnotationsFilterBytes() Applicable only to Datasets that have DataItems and Annotations.
BigQueryDestination	getBigqueryDestination() Only applicable to custom training with tabular Dataset with BigQuery source.
BigQueryDestinationOrBuilder	getBigqueryDestinationOrBuilder() Only applicable to custom training with tabular Dataset with BigQuery source.
String	getDatasetId() Required.
com.google.protobuf.ByteString	getDatasetIdBytes() Required.
static InputDataConfig	getDefaultInstance()
InputDataConfig	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
InputDataConfig.DestinationCase	getDestinationCase()
FilterSplit	getFilterSplit() Split based on the provided filters for each set.
FilterSplitOrBuilder	getFilterSplitOrBuilder() Split based on the provided filters for each set.
FractionSplit	getFractionSplit() Split based on fractions defining the size of each set.
FractionSplitOrBuilder	getFractionSplitOrBuilder() Split based on fractions defining the size of each set.
GcsDestination	getGcsDestination() The Cloud Storage location where the training data is to be written to.
GcsDestinationOrBuilder	getGcsDestinationOrBuilder() The Cloud Storage location where the training data is to be written to.
com.google.protobuf.Parser<InputDataConfig>	getParserForType()
PredefinedSplit	getPredefinedSplit() Supported only for tabular Datasets.
PredefinedSplitOrBuilder	getPredefinedSplitOrBuilder() Supported only for tabular Datasets.
String	getSavedQueryId() Only applicable to Datasets that have SavedQueries.
com.google.protobuf.ByteString	getSavedQueryIdBytes() Only applicable to Datasets that have SavedQueries.
int	getSerializedSize()
InputDataConfig.SplitCase	getSplitCase()
StratifiedSplit	getStratifiedSplit() Supported only for tabular Datasets.
StratifiedSplitOrBuilder	getStratifiedSplitOrBuilder() Supported only for tabular Datasets.
TimestampSplit	getTimestampSplit() Supported only for tabular Datasets.
TimestampSplitOrBuilder	getTimestampSplitOrBuilder() Supported only for tabular Datasets.
com.google.protobuf.UnknownFieldSet	getUnknownFields()
boolean	hasBigqueryDestination() Only applicable to custom training with tabular Dataset with BigQuery source.
boolean	hasFilterSplit() Split based on the provided filters for each set.
boolean	hasFractionSplit() Split based on fractions defining the size of each set.
boolean	hasGcsDestination() The Cloud Storage location where the training data is to be written to.
int	hashCode()
boolean	hasPredefinedSplit() Supported only for tabular Datasets.
boolean	hasStratifiedSplit() Supported only for tabular Datasets.
boolean	hasTimestampSplit() Supported only for tabular Datasets.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static InputDataConfig.Builder	newBuilder()
static InputDataConfig.Builder	newBuilder(InputDataConfig prototype)
InputDataConfig.Builder	newBuilderForType()
protected InputDataConfig.Builder	newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object	newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static InputDataConfig	parseDelimitedFrom(InputStream input)
static InputDataConfig	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static InputDataConfig	parseFrom(byte[] data)
static InputDataConfig	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static InputDataConfig	parseFrom(ByteBuffer data)
static InputDataConfig	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static InputDataConfig	parseFrom(com.google.protobuf.ByteString data)
static InputDataConfig	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static InputDataConfig	parseFrom(com.google.protobuf.CodedInputStream input)
static InputDataConfig	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static InputDataConfig	parseFrom(InputStream input)
static InputDataConfig	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<InputDataConfig>	parser()
InputDataConfig.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Methods inherited from class com.google.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

FRACTION_SPLIT_FIELD_NUMBER

public static final int FRACTION_SPLIT_FIELD_NUMBER

See Also:

Constant Field Values

FILTER_SPLIT_FIELD_NUMBER

public static final int FILTER_SPLIT_FIELD_NUMBER

See Also:

Constant Field Values

PREDEFINED_SPLIT_FIELD_NUMBER

public static final int PREDEFINED_SPLIT_FIELD_NUMBER

See Also:

Constant Field Values

TIMESTAMP_SPLIT_FIELD_NUMBER

public static final int TIMESTAMP_SPLIT_FIELD_NUMBER

See Also:

Constant Field Values

STRATIFIED_SPLIT_FIELD_NUMBER

public static final int STRATIFIED_SPLIT_FIELD_NUMBER

See Also:

Constant Field Values

GCS_DESTINATION_FIELD_NUMBER

public static final int GCS_DESTINATION_FIELD_NUMBER

See Also:

Constant Field Values

BIGQUERY_DESTINATION_FIELD_NUMBER

public static final int BIGQUERY_DESTINATION_FIELD_NUMBER

See Also:

Constant Field Values

DATASET_ID_FIELD_NUMBER

public static final int DATASET_ID_FIELD_NUMBER

See Also:

Constant Field Values

ANNOTATIONS_FILTER_FIELD_NUMBER

public static final int ANNOTATIONS_FILTER_FIELD_NUMBER

See Also:

Constant Field Values

ANNOTATION_SCHEMA_URI_FIELD_NUMBER

public static final int ANNOTATION_SCHEMA_URI_FIELD_NUMBER

See Also:

Constant Field Values

SAVED_QUERY_ID_FIELD_NUMBER

public static final int SAVED_QUERY_ID_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class com.google.protobuf.GeneratedMessageV3

getUnknownFields

public final com.google.protobuf.UnknownFieldSet getUnknownFields()

Specified by:

getUnknownFields in interface com.google.protobuf.MessageOrBuilder

Overrides:

getUnknownFields in class com.google.protobuf.GeneratedMessageV3

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

getSplitCase

public InputDataConfig.SplitCase getSplitCase()

Specified by:

getSplitCase in interface InputDataConfigOrBuilder

getDestinationCase

public InputDataConfig.DestinationCase getDestinationCase()

Specified by:

getDestinationCase in interface InputDataConfigOrBuilder

hasFractionSplit

public boolean hasFractionSplit()

 Split based on fractions defining the size of each set.
 

.google.cloud.aiplatform.v1beta1.FractionSplit fraction_split = 2;

Specified by:

hasFractionSplit in interface InputDataConfigOrBuilder

Returns:

Whether the fractionSplit field is set.

getFractionSplit

public FractionSplit getFractionSplit()

 Split based on fractions defining the size of each set.
 

.google.cloud.aiplatform.v1beta1.FractionSplit fraction_split = 2;

Specified by:

getFractionSplit in interface InputDataConfigOrBuilder

Returns:

The fractionSplit.

getFractionSplitOrBuilder

public FractionSplitOrBuilder getFractionSplitOrBuilder()

 Split based on fractions defining the size of each set.
 

.google.cloud.aiplatform.v1beta1.FractionSplit fraction_split = 2;

Specified by:

getFractionSplitOrBuilder in interface InputDataConfigOrBuilder

hasFilterSplit

public boolean hasFilterSplit()

 Split based on the provided filters for each set.
 

.google.cloud.aiplatform.v1beta1.FilterSplit filter_split = 3;

Specified by:

hasFilterSplit in interface InputDataConfigOrBuilder

Returns:

Whether the filterSplit field is set.

getFilterSplit

public FilterSplit getFilterSplit()

 Split based on the provided filters for each set.
 

.google.cloud.aiplatform.v1beta1.FilterSplit filter_split = 3;

Specified by:

getFilterSplit in interface InputDataConfigOrBuilder

Returns:

The filterSplit.

getFilterSplitOrBuilder

public FilterSplitOrBuilder getFilterSplitOrBuilder()

 Split based on the provided filters for each set.
 

.google.cloud.aiplatform.v1beta1.FilterSplit filter_split = 3;

Specified by:

getFilterSplitOrBuilder in interface InputDataConfigOrBuilder

hasPredefinedSplit

public boolean hasPredefinedSplit()

 Supported only for tabular Datasets.
 Split based on a predefined key.
 

.google.cloud.aiplatform.v1beta1.PredefinedSplit predefined_split = 4;

Specified by:

hasPredefinedSplit in interface InputDataConfigOrBuilder

Returns:

Whether the predefinedSplit field is set.

getPredefinedSplit

public PredefinedSplit getPredefinedSplit()

 Supported only for tabular Datasets.
 Split based on a predefined key.
 

.google.cloud.aiplatform.v1beta1.PredefinedSplit predefined_split = 4;

Specified by:

getPredefinedSplit in interface InputDataConfigOrBuilder

Returns:

The predefinedSplit.

getPredefinedSplitOrBuilder

public PredefinedSplitOrBuilder getPredefinedSplitOrBuilder()

 Supported only for tabular Datasets.
 Split based on a predefined key.
 

.google.cloud.aiplatform.v1beta1.PredefinedSplit predefined_split = 4;

Specified by:

getPredefinedSplitOrBuilder in interface InputDataConfigOrBuilder

hasTimestampSplit

public boolean hasTimestampSplit()

 Supported only for tabular Datasets.
 Split based on the timestamp of the input data pieces.
 

.google.cloud.aiplatform.v1beta1.TimestampSplit timestamp_split = 5;

Specified by:

hasTimestampSplit in interface InputDataConfigOrBuilder

Returns:

Whether the timestampSplit field is set.

getTimestampSplit

public TimestampSplit getTimestampSplit()

 Supported only for tabular Datasets.
 Split based on the timestamp of the input data pieces.
 

.google.cloud.aiplatform.v1beta1.TimestampSplit timestamp_split = 5;

Specified by:

getTimestampSplit in interface InputDataConfigOrBuilder

Returns:

The timestampSplit.

getTimestampSplitOrBuilder

public TimestampSplitOrBuilder getTimestampSplitOrBuilder()

 Supported only for tabular Datasets.
 Split based on the timestamp of the input data pieces.
 

.google.cloud.aiplatform.v1beta1.TimestampSplit timestamp_split = 5;

Specified by:

getTimestampSplitOrBuilder in interface InputDataConfigOrBuilder

hasStratifiedSplit

public boolean hasStratifiedSplit()

 Supported only for tabular Datasets.
 Split based on the distribution of the specified column.
 

.google.cloud.aiplatform.v1beta1.StratifiedSplit stratified_split = 12;

Specified by:

hasStratifiedSplit in interface InputDataConfigOrBuilder

Returns:

Whether the stratifiedSplit field is set.

getStratifiedSplit

public StratifiedSplit getStratifiedSplit()

 Supported only for tabular Datasets.
 Split based on the distribution of the specified column.
 

.google.cloud.aiplatform.v1beta1.StratifiedSplit stratified_split = 12;

Specified by:

getStratifiedSplit in interface InputDataConfigOrBuilder

Returns:

The stratifiedSplit.

getStratifiedSplitOrBuilder

public StratifiedSplitOrBuilder getStratifiedSplitOrBuilder()

 Supported only for tabular Datasets.
 Split based on the distribution of the specified column.
 

.google.cloud.aiplatform.v1beta1.StratifiedSplit stratified_split = 12;

Specified by:

getStratifiedSplitOrBuilder in interface InputDataConfigOrBuilder

hasGcsDestination

public boolean hasGcsDestination()

 The Cloud Storage location where the training data is to be
 written to. In the given directory a new directory is created with
 name:
 `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 All training input data is written into that directory.
 The Vertex AI environment variables representing Cloud Storage
 data URIs are represented in the Cloud Storage wildcard
 format to support sharded data. e.g.: "gs://.../training-*.jsonl"
 * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
 * AIP_TRAINING_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
 * AIP_VALIDATION_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
 * AIP_TEST_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
 

.google.cloud.aiplatform.v1beta1.GcsDestination gcs_destination = 8;

Specified by:

hasGcsDestination in interface InputDataConfigOrBuilder

Returns:

Whether the gcsDestination field is set.

getGcsDestination

public GcsDestination getGcsDestination()

 The Cloud Storage location where the training data is to be
 written to. In the given directory a new directory is created with
 name:
 `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 All training input data is written into that directory.
 The Vertex AI environment variables representing Cloud Storage
 data URIs are represented in the Cloud Storage wildcard
 format to support sharded data. e.g.: "gs://.../training-*.jsonl"
 * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
 * AIP_TRAINING_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
 * AIP_VALIDATION_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
 * AIP_TEST_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
 

.google.cloud.aiplatform.v1beta1.GcsDestination gcs_destination = 8;

Specified by:

getGcsDestination in interface InputDataConfigOrBuilder

Returns:

The gcsDestination.

getGcsDestinationOrBuilder

public GcsDestinationOrBuilder getGcsDestinationOrBuilder()

 The Cloud Storage location where the training data is to be
 written to. In the given directory a new directory is created with
 name:
 `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 All training input data is written into that directory.
 The Vertex AI environment variables representing Cloud Storage
 data URIs are represented in the Cloud Storage wildcard
 format to support sharded data. e.g.: "gs://.../training-*.jsonl"
 * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
 * AIP_TRAINING_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
 * AIP_VALIDATION_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
 * AIP_TEST_DATA_URI =
 "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
 

.google.cloud.aiplatform.v1beta1.GcsDestination gcs_destination = 8;

Specified by:

getGcsDestinationOrBuilder in interface InputDataConfigOrBuilder

hasBigqueryDestination

public boolean hasBigqueryDestination()

 Only applicable to custom training with tabular Dataset with BigQuery
 source.
 The BigQuery project location where the training data is to be written
 to. In the given project a new dataset is created with name
 `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
 where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
 input data is written into that dataset. In the dataset three
 tables are created, `training`, `validation` and `test`.
 * AIP_DATA_FORMAT = "bigquery".
 * AIP_TRAINING_DATA_URI  =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
 * AIP_VALIDATION_DATA_URI =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
 * AIP_TEST_DATA_URI =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
 

.google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 10;

Specified by:

hasBigqueryDestination in interface InputDataConfigOrBuilder

Returns:

Whether the bigqueryDestination field is set.

getBigqueryDestination

public BigQueryDestination getBigqueryDestination()

 Only applicable to custom training with tabular Dataset with BigQuery
 source.
 The BigQuery project location where the training data is to be written
 to. In the given project a new dataset is created with name
 `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
 where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
 input data is written into that dataset. In the dataset three
 tables are created, `training`, `validation` and `test`.
 * AIP_DATA_FORMAT = "bigquery".
 * AIP_TRAINING_DATA_URI  =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
 * AIP_VALIDATION_DATA_URI =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
 * AIP_TEST_DATA_URI =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
 

.google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 10;

Specified by:

getBigqueryDestination in interface InputDataConfigOrBuilder

Returns:

The bigqueryDestination.

getBigqueryDestinationOrBuilder

public BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder()

 Only applicable to custom training with tabular Dataset with BigQuery
 source.
 The BigQuery project location where the training data is to be written
 to. In the given project a new dataset is created with name
 `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
 where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
 input data is written into that dataset. In the dataset three
 tables are created, `training`, `validation` and `test`.
 * AIP_DATA_FORMAT = "bigquery".
 * AIP_TRAINING_DATA_URI  =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
 * AIP_VALIDATION_DATA_URI =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
 * AIP_TEST_DATA_URI =
 "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
 

.google.cloud.aiplatform.v1beta1.BigQueryDestination bigquery_destination = 10;

Specified by:

getBigqueryDestinationOrBuilder in interface InputDataConfigOrBuilder

getDatasetId

public String getDatasetId()

 Required. The ID of the Dataset in the same Project and Location which data will be
 used to train the Model. The Dataset must use schema compatible with
 Model being trained, and what is compatible should be described in the
 used TrainingPipeline's [training_task_definition]
 [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
 For tabular Datasets, all their data is exported to training, to pick
 and choose from.
 

string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getDatasetId in interface InputDataConfigOrBuilder

Returns:

The datasetId.

getDatasetIdBytes

public com.google.protobuf.ByteString getDatasetIdBytes()

 Required. The ID of the Dataset in the same Project and Location which data will be
 used to train the Model. The Dataset must use schema compatible with
 Model being trained, and what is compatible should be described in the
 used TrainingPipeline's [training_task_definition]
 [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
 For tabular Datasets, all their data is exported to training, to pick
 and choose from.
 

string dataset_id = 1 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getDatasetIdBytes in interface InputDataConfigOrBuilder

Returns:

The bytes for datasetId.

getAnnotationsFilter

public String getAnnotationsFilter()

 Applicable only to Datasets that have DataItems and Annotations.
 A filter on Annotations of the Dataset. Only Annotations that both
 match this filter 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 (for the auto-assigned that role is
 decided by Vertex AI). A filter with same syntax as the one used in
 [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
 here it filters across all Annotations of the Dataset, and not just within
 a single DataItem.
 

string annotations_filter = 6;

Specified by:

getAnnotationsFilter in interface InputDataConfigOrBuilder

Returns:

The annotationsFilter.

getAnnotationsFilterBytes

public com.google.protobuf.ByteString getAnnotationsFilterBytes()

 Applicable only to Datasets that have DataItems and Annotations.
 A filter on Annotations of the Dataset. Only Annotations that both
 match this filter 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 (for the auto-assigned that role is
 decided by Vertex AI). A filter with same syntax as the one used in
 [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
 here it filters across all Annotations of the Dataset, and not just within
 a single DataItem.
 

string annotations_filter = 6;

Specified by:

getAnnotationsFilterBytes in interface InputDataConfigOrBuilder

Returns:

The bytes for annotationsFilter.

getAnnotationSchemaUri

public String getAnnotationSchemaUri()

 Applicable only to custom training with Datasets that have DataItems and
 Annotations.
 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.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
 [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
 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.v1beta1.InputDataConfig.annotations_filter], the Annotations used
 for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
 [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
 

string annotation_schema_uri = 9;

Specified by:

getAnnotationSchemaUri in interface InputDataConfigOrBuilder

Returns:

The annotationSchemaUri.

getAnnotationSchemaUriBytes

public com.google.protobuf.ByteString getAnnotationSchemaUriBytes()

 Applicable only to custom training with Datasets that have DataItems and
 Annotations.
 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.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
 [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
 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.v1beta1.InputDataConfig.annotations_filter], the Annotations used
 for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
 [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
 

string annotation_schema_uri = 9;

Specified by:

getAnnotationSchemaUriBytes in interface InputDataConfigOrBuilder

Returns:

The bytes for annotationSchemaUri.

getSavedQueryId

public String getSavedQueryId()

 Only applicable to Datasets that have SavedQueries.
 The ID of a SavedQuery (annotation set) under the Dataset specified by
 [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
 Only Annotations that are associated with this SavedQuery are used in
 respectively training. When used in conjunction with
 [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
 both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
 Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
 specified as both of them represent the same thing: problem type.
 

string saved_query_id = 7;

Specified by:

getSavedQueryId in interface InputDataConfigOrBuilder

Returns:

The savedQueryId.

getSavedQueryIdBytes

public com.google.protobuf.ByteString getSavedQueryIdBytes()

 Only applicable to Datasets that have SavedQueries.
 The ID of a SavedQuery (annotation set) under the Dataset specified by
 [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id] used for filtering Annotations for training.
 Only Annotations that are associated with this SavedQuery are used in
 respectively training. When used in conjunction with
 [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used for training are filtered by
 both [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter].
 Only one of [saved_query_id][google.cloud.aiplatform.v1beta1.InputDataConfig.saved_query_id] and [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri] should be
 specified as both of them represent the same thing: problem type.
 

string saved_query_id = 7;

Specified by:

getSavedQueryIdBytes in interface InputDataConfigOrBuilder

Returns:

The bytes for savedQueryId.

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3

writeTo

public void writeTo(com.google.protobuf.CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface com.google.protobuf.MessageLite

Overrides:

writeTo in class com.google.protobuf.GeneratedMessageV3

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface com.google.protobuf.MessageLite

Overrides:

getSerializedSize in class com.google.protobuf.GeneratedMessageV3

equals

public boolean equals(Object obj)

Specified by:

equals in interface com.google.protobuf.Message

Overrides:

equals in class com.google.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface com.google.protobuf.Message

Overrides:

hashCode in class com.google.protobuf.AbstractMessage

parseFrom

public static InputDataConfig parseFrom(ByteBuffer data)
                                 throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static InputDataConfig parseFrom(ByteBuffer data,
                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                 throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static InputDataConfig parseFrom(com.google.protobuf.ByteString data)
                                 throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static InputDataConfig parseFrom(com.google.protobuf.ByteString data,
                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                 throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static InputDataConfig parseFrom(byte[] data)
                                 throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static InputDataConfig parseFrom(byte[] data,
                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                 throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static InputDataConfig parseFrom(InputStream input)
                                 throws IOException

Throws:

IOException

parseFrom

public static InputDataConfig parseFrom(InputStream input,
                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                 throws IOException

Throws:

IOException

parseDelimitedFrom

public static InputDataConfig parseDelimitedFrom(InputStream input)
                                          throws IOException

Throws:

IOException

parseDelimitedFrom

public static InputDataConfig parseDelimitedFrom(InputStream input,
                                                 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                          throws IOException

Throws:

IOException

parseFrom

public static InputDataConfig parseFrom(com.google.protobuf.CodedInputStream input)
                                 throws IOException

Throws:

IOException

parseFrom

public static InputDataConfig parseFrom(com.google.protobuf.CodedInputStream input,
                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                 throws IOException

Throws:

IOException

newBuilderForType

public InputDataConfig.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static InputDataConfig.Builder newBuilder()

newBuilder

public static InputDataConfig.Builder newBuilder(InputDataConfig prototype)

toBuilder

public InputDataConfig.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

protected InputDataConfig.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstance

public static InputDataConfig getDefaultInstance()

parser

public static com.google.protobuf.Parser<InputDataConfig> parser()

getParserForType

public com.google.protobuf.Parser<InputDataConfig> getParserForType()

Specified by:

getParserForType in interface com.google.protobuf.Message

Specified by:

getParserForType in interface com.google.protobuf.MessageLite

Overrides:

getParserForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public InputDataConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder