Package com.google.cloud.aiplatform.v1

Class InputDataConfig

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.aiplatform.v1.InputDataConfig
All Implemented Interfaces:
InputDataConfigOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
@Generated public final class InputDataConfig extends com.google.protobuf.GeneratedMessage implements InputDataConfigOrBuilder
 Specifies Vertex AI owned input data to be used for training, and
 possibly evaluating, the Model.
Protobuf type google.cloud.aiplatform.v1.InputDataConfig
See Also:

  • Field Details

    • FRACTION_SPLIT_FIELD_NUMBER

      public static final int FRACTION_SPLIT_FIELD_NUMBER
      See Also:

    • FILTER_SPLIT_FIELD_NUMBER

      public static final int FILTER_SPLIT_FIELD_NUMBER
      See Also:

    • PREDEFINED_SPLIT_FIELD_NUMBER

      public static final int PREDEFINED_SPLIT_FIELD_NUMBER
      See Also:

    • TIMESTAMP_SPLIT_FIELD_NUMBER

      public static final int TIMESTAMP_SPLIT_FIELD_NUMBER
      See Also:

    • STRATIFIED_SPLIT_FIELD_NUMBER

      public static final int STRATIFIED_SPLIT_FIELD_NUMBER
      See Also:

    • GCS_DESTINATION_FIELD_NUMBER

      public static final int GCS_DESTINATION_FIELD_NUMBER
      See Also:

    • BIGQUERY_DESTINATION_FIELD_NUMBER

      public static final int BIGQUERY_DESTINATION_FIELD_NUMBER
      See Also:

    • DATASET_ID_FIELD_NUMBER

      public static final int DATASET_ID_FIELD_NUMBER
      See Also:

    • ANNOTATIONS_FILTER_FIELD_NUMBER

      public static final int ANNOTATIONS_FILTER_FIELD_NUMBER
      See Also:

    • ANNOTATION_SCHEMA_URI_FIELD_NUMBER

      public static final int ANNOTATION_SCHEMA_URI_FIELD_NUMBER
      See Also:

    • SAVED_QUERY_ID_FIELD_NUMBER

      public static final int SAVED_QUERY_ID_FIELD_NUMBER
      See Also:

    • PERSIST_ML_USE_ASSIGNMENT_FIELD_NUMBER

      public static final int PERSIST_ML_USE_ASSIGNMENT_FIELD_NUMBER
      See Also:

  • Method Details

    • getDescriptor

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

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage

    • 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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.Dataset.metadata_schema_uri] of the
 Dataset specified by
 [dataset_id][google.cloud.aiplatform.v1.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.v1.InputDataConfig.annotations_filter],
 the Annotations used for training are filtered by both
 [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
 and
 [annotation_schema_uri][google.cloud.aiplatform.v1.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.v1.Dataset.metadata_schema_uri] of the
 Dataset specified by
 [dataset_id][google.cloud.aiplatform.v1.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.v1.InputDataConfig.annotations_filter],
 the Annotations used for training are filtered by both
 [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter]
 and
 [annotation_schema_uri][google.cloud.aiplatform.v1.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.v1.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.v1.InputDataConfig.annotations_filter],
 the Annotations used for training are filtered by both
 [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
 and
 [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].

 Only one of
 [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
 and
 [annotation_schema_uri][google.cloud.aiplatform.v1.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.v1.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.v1.InputDataConfig.annotations_filter],
 the Annotations used for training are filtered by both
 [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
 and
 [annotations_filter][google.cloud.aiplatform.v1.InputDataConfig.annotations_filter].

 Only one of
 [saved_query_id][google.cloud.aiplatform.v1.InputDataConfig.saved_query_id]
 and
 [annotation_schema_uri][google.cloud.aiplatform.v1.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.

    • getPersistMlUseAssignment

      public boolean getPersistMlUseAssignment()
       Whether to persist the ML use assignment to data item system labels.
      bool persist_ml_use_assignment = 11;
      Specified by:
      getPersistMlUseAssignment in interface InputDataConfigOrBuilder
      Returns:
      The persistMlUseAssignment.

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage

    • 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.GeneratedMessage
      Throws:
      IOException

    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessage

    • 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.AbstractMessage.BuilderParent parent)
      Overrides:
      newBuilderForType in class com.google.protobuf.AbstractMessage

    • 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.GeneratedMessage

    • getDefaultInstanceForType

      public InputDataConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder