Package com.google.cloud.automl.v1beta1

Class TablesDatasetMetadata.Builder

    • Method Detail

      • getDescriptor

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

      • internalGetMapField

        protected com.google.protobuf.MapField internalGetMapField​(int number)
        Overrides:
        internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • internalGetMutableMapField

        protected com.google.protobuf.MapField internalGetMutableMapField​(int number)
        Overrides:
        internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • clear

        public TablesDatasetMetadata.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • getDefaultInstanceForType

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

      • build

        public TablesDatasetMetadata build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public TablesDatasetMetadata buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • clone

        public TablesDatasetMetadata.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • clearField

        public TablesDatasetMetadata.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • clearOneof

        public TablesDatasetMetadata.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • setRepeatedField

        public TablesDatasetMetadata.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                      int index,
                                                      Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • addRepeatedField

        public TablesDatasetMetadata.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                      Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • mergeFrom

        public TablesDatasetMetadata.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                               com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                        throws IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<TablesDatasetMetadata.Builder>
        Throws:
        IOException

      • getPrimaryTableSpecIdBytes

        public com.google.protobuf.ByteString getPrimaryTableSpecIdBytes()
         Output only. The table_spec_id of the primary table of this dataset.
        string primary_table_spec_id = 1;
        Specified by:
        getPrimaryTableSpecIdBytes in interface TablesDatasetMetadataOrBuilder
        Returns:
        The bytes for primaryTableSpecId.

      • setPrimaryTableSpecId

        public TablesDatasetMetadata.Builder setPrimaryTableSpecId​(String value)
         Output only. The table_spec_id of the primary table of this dataset.
        string primary_table_spec_id = 1;
        Parameters:
        value - The primaryTableSpecId to set.
        Returns:
        This builder for chaining.

      • clearPrimaryTableSpecId

        public TablesDatasetMetadata.Builder clearPrimaryTableSpecId()
         Output only. The table_spec_id of the primary table of this dataset.
        string primary_table_spec_id = 1;
        Returns:
        This builder for chaining.

      • setPrimaryTableSpecIdBytes

        public TablesDatasetMetadata.Builder setPrimaryTableSpecIdBytes​(com.google.protobuf.ByteString value)
         Output only. The table_spec_id of the primary table of this dataset.
        string primary_table_spec_id = 1;
        Parameters:
        value - The bytes for primaryTableSpecId to set.
        Returns:
        This builder for chaining.

      • getTargetColumnSpecId

        public String getTargetColumnSpecId()
         column_spec_id of the primary table's column that should be used as the
 training & prediction target.
 This column must be non-nullable and have one of following data types
 (otherwise model creation will error):

 * CATEGORY

 * FLOAT64

 If the type is CATEGORY , only up to
 100 unique values may exist in that column across all rows.

 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string target_column_spec_id = 2;
        Specified by:
        getTargetColumnSpecId in interface TablesDatasetMetadataOrBuilder
        Returns:
        The targetColumnSpecId.

      • getTargetColumnSpecIdBytes

        public com.google.protobuf.ByteString getTargetColumnSpecIdBytes()
         column_spec_id of the primary table's column that should be used as the
 training & prediction target.
 This column must be non-nullable and have one of following data types
 (otherwise model creation will error):

 * CATEGORY

 * FLOAT64

 If the type is CATEGORY , only up to
 100 unique values may exist in that column across all rows.

 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string target_column_spec_id = 2;
        Specified by:
        getTargetColumnSpecIdBytes in interface TablesDatasetMetadataOrBuilder
        Returns:
        The bytes for targetColumnSpecId.

      • setTargetColumnSpecId

        public TablesDatasetMetadata.Builder setTargetColumnSpecId​(String value)
         column_spec_id of the primary table's column that should be used as the
 training & prediction target.
 This column must be non-nullable and have one of following data types
 (otherwise model creation will error):

 * CATEGORY

 * FLOAT64

 If the type is CATEGORY , only up to
 100 unique values may exist in that column across all rows.

 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string target_column_spec_id = 2;
        Parameters:
        value - The targetColumnSpecId to set.
        Returns:
        This builder for chaining.

      • clearTargetColumnSpecId

        public TablesDatasetMetadata.Builder clearTargetColumnSpecId()
         column_spec_id of the primary table's column that should be used as the
 training & prediction target.
 This column must be non-nullable and have one of following data types
 (otherwise model creation will error):

 * CATEGORY

 * FLOAT64

 If the type is CATEGORY , only up to
 100 unique values may exist in that column across all rows.

 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string target_column_spec_id = 2;
        Returns:
        This builder for chaining.

      • setTargetColumnSpecIdBytes

        public TablesDatasetMetadata.Builder setTargetColumnSpecIdBytes​(com.google.protobuf.ByteString value)
         column_spec_id of the primary table's column that should be used as the
 training & prediction target.
 This column must be non-nullable and have one of following data types
 (otherwise model creation will error):

 * CATEGORY

 * FLOAT64

 If the type is CATEGORY , only up to
 100 unique values may exist in that column across all rows.

 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string target_column_spec_id = 2;
        Parameters:
        value - The bytes for targetColumnSpecId to set.
        Returns:
        This builder for chaining.

      • getWeightColumnSpecId

        public String getWeightColumnSpecId()
         column_spec_id of the primary table's column that should be used as the
 weight column, i.e. the higher the value the more important the row will be
 during model training.
 Required type: FLOAT64.
 Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
                 ignored for training.
 If not set all rows are assumed to have equal weight of 1.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string weight_column_spec_id = 3;
        Specified by:
        getWeightColumnSpecId in interface TablesDatasetMetadataOrBuilder
        Returns:
        The weightColumnSpecId.

      • getWeightColumnSpecIdBytes

        public com.google.protobuf.ByteString getWeightColumnSpecIdBytes()
         column_spec_id of the primary table's column that should be used as the
 weight column, i.e. the higher the value the more important the row will be
 during model training.
 Required type: FLOAT64.
 Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
                 ignored for training.
 If not set all rows are assumed to have equal weight of 1.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string weight_column_spec_id = 3;
        Specified by:
        getWeightColumnSpecIdBytes in interface TablesDatasetMetadataOrBuilder
        Returns:
        The bytes for weightColumnSpecId.

      • setWeightColumnSpecId

        public TablesDatasetMetadata.Builder setWeightColumnSpecId​(String value)
         column_spec_id of the primary table's column that should be used as the
 weight column, i.e. the higher the value the more important the row will be
 during model training.
 Required type: FLOAT64.
 Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
                 ignored for training.
 If not set all rows are assumed to have equal weight of 1.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string weight_column_spec_id = 3;
        Parameters:
        value - The weightColumnSpecId to set.
        Returns:
        This builder for chaining.

      • clearWeightColumnSpecId

        public TablesDatasetMetadata.Builder clearWeightColumnSpecId()
         column_spec_id of the primary table's column that should be used as the
 weight column, i.e. the higher the value the more important the row will be
 during model training.
 Required type: FLOAT64.
 Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
                 ignored for training.
 If not set all rows are assumed to have equal weight of 1.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string weight_column_spec_id = 3;
        Returns:
        This builder for chaining.

      • setWeightColumnSpecIdBytes

        public TablesDatasetMetadata.Builder setWeightColumnSpecIdBytes​(com.google.protobuf.ByteString value)
         column_spec_id of the primary table's column that should be used as the
 weight column, i.e. the higher the value the more important the row will be
 during model training.
 Required type: FLOAT64.
 Allowed values: 0 to 10000, inclusive on both ends; 0 means the row is
                 ignored for training.
 If not set all rows are assumed to have equal weight of 1.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string weight_column_spec_id = 3;
        Parameters:
        value - The bytes for weightColumnSpecId to set.
        Returns:
        This builder for chaining.

      • getMlUseColumnSpecId

        public String getMlUseColumnSpecId()
         column_spec_id of the primary table column which specifies a possible ML
 use of the row, i.e. the column will be used to split the rows into TRAIN,
 VALIDATE and TEST sets.
 Required type: STRING.
 This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
 among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
 case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
 that if a given ml use distribution makes it impossible to create a "good"
 model, that call will error describing the issue.
 If both this column_spec_id and primary table's time_column_spec_id are not
 set, then all rows are treated as `UNASSIGNED`.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string ml_use_column_spec_id = 4;
        Specified by:
        getMlUseColumnSpecId in interface TablesDatasetMetadataOrBuilder
        Returns:
        The mlUseColumnSpecId.

      • getMlUseColumnSpecIdBytes

        public com.google.protobuf.ByteString getMlUseColumnSpecIdBytes()
         column_spec_id of the primary table column which specifies a possible ML
 use of the row, i.e. the column will be used to split the rows into TRAIN,
 VALIDATE and TEST sets.
 Required type: STRING.
 This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
 among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
 case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
 that if a given ml use distribution makes it impossible to create a "good"
 model, that call will error describing the issue.
 If both this column_spec_id and primary table's time_column_spec_id are not
 set, then all rows are treated as `UNASSIGNED`.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string ml_use_column_spec_id = 4;
        Specified by:
        getMlUseColumnSpecIdBytes in interface TablesDatasetMetadataOrBuilder
        Returns:
        The bytes for mlUseColumnSpecId.

      • setMlUseColumnSpecId

        public TablesDatasetMetadata.Builder setMlUseColumnSpecId​(String value)
         column_spec_id of the primary table column which specifies a possible ML
 use of the row, i.e. the column will be used to split the rows into TRAIN,
 VALIDATE and TEST sets.
 Required type: STRING.
 This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
 among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
 case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
 that if a given ml use distribution makes it impossible to create a "good"
 model, that call will error describing the issue.
 If both this column_spec_id and primary table's time_column_spec_id are not
 set, then all rows are treated as `UNASSIGNED`.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string ml_use_column_spec_id = 4;
        Parameters:
        value - The mlUseColumnSpecId to set.
        Returns:
        This builder for chaining.

      • clearMlUseColumnSpecId

        public TablesDatasetMetadata.Builder clearMlUseColumnSpecId()
         column_spec_id of the primary table column which specifies a possible ML
 use of the row, i.e. the column will be used to split the rows into TRAIN,
 VALIDATE and TEST sets.
 Required type: STRING.
 This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
 among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
 case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
 that if a given ml use distribution makes it impossible to create a "good"
 model, that call will error describing the issue.
 If both this column_spec_id and primary table's time_column_spec_id are not
 set, then all rows are treated as `UNASSIGNED`.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string ml_use_column_spec_id = 4;
        Returns:
        This builder for chaining.

      • setMlUseColumnSpecIdBytes

        public TablesDatasetMetadata.Builder setMlUseColumnSpecIdBytes​(com.google.protobuf.ByteString value)
         column_spec_id of the primary table column which specifies a possible ML
 use of the row, i.e. the column will be used to split the rows into TRAIN,
 VALIDATE and TEST sets.
 Required type: STRING.
 This column, if set, must either have all of `TRAIN`, `VALIDATE`, `TEST`
 among its values, or only have `TEST`, `UNASSIGNED` values. In the latter
 case the rows with `UNASSIGNED` value will be assigned by AutoML. Note
 that if a given ml use distribution makes it impossible to create a "good"
 model, that call will error describing the issue.
 If both this column_spec_id and primary table's time_column_spec_id are not
 set, then all rows are treated as `UNASSIGNED`.
 NOTE: Updates of this field will instantly affect any other users
 concurrently working with the dataset.
        string ml_use_column_spec_id = 4;
        Parameters:
        value - The bytes for mlUseColumnSpecId to set.
        Returns:
        This builder for chaining.

      • getTargetColumnCorrelationsCount

        public int getTargetColumnCorrelationsCount()
        Description copied from interface: TablesDatasetMetadataOrBuilder
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;
        Specified by:
        getTargetColumnCorrelationsCount in interface TablesDatasetMetadataOrBuilder

      • containsTargetColumnCorrelations

        public boolean containsTargetColumnCorrelations​(String key)
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;
        Specified by:
        containsTargetColumnCorrelations in interface TablesDatasetMetadataOrBuilder

      • getTargetColumnCorrelationsMap

        public Map<String,​CorrelationStats> getTargetColumnCorrelationsMap()
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;
        Specified by:
        getTargetColumnCorrelationsMap in interface TablesDatasetMetadataOrBuilder

      • getTargetColumnCorrelationsOrDefault

        public CorrelationStats getTargetColumnCorrelationsOrDefault​(String key,
                                                             CorrelationStats defaultValue)
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;
        Specified by:
        getTargetColumnCorrelationsOrDefault in interface TablesDatasetMetadataOrBuilder

      • getTargetColumnCorrelationsOrThrow

        public CorrelationStats getTargetColumnCorrelationsOrThrow​(String key)
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;
        Specified by:
        getTargetColumnCorrelationsOrThrow in interface TablesDatasetMetadataOrBuilder

      • removeTargetColumnCorrelations

        public TablesDatasetMetadata.Builder removeTargetColumnCorrelations​(String key)
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;

      • getMutableTargetColumnCorrelations

        @Deprecated
public Map<String,​CorrelationStats> getMutableTargetColumnCorrelations()
        Deprecated.
        Use alternate mutation accessors instead.

      • putTargetColumnCorrelations

        public TablesDatasetMetadata.Builder putTargetColumnCorrelations​(String key,
                                                                 CorrelationStats value)
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;

      • putAllTargetColumnCorrelations

        public TablesDatasetMetadata.Builder putAllTargetColumnCorrelations​(Map<String,​CorrelationStats> values)
         Output only. Correlations between

 [TablesDatasetMetadata.target_column_spec_id][google.cloud.automl.v1beta1.TablesDatasetMetadata.target_column_spec_id],
 and other columns of the

 [TablesDatasetMetadataprimary_table][google.cloud.automl.v1beta1.TablesDatasetMetadata.primary_table_spec_id].
 Only set if the target column is set. Mapping from other column spec id to
 its CorrelationStats with the target column.
 This field may be stale, see the stats_update_time field for
 for the timestamp at which these stats were last updated.
        map<string, .google.cloud.automl.v1beta1.CorrelationStats> target_column_correlations = 6;

      • hasStatsUpdateTime

        public boolean hasStatsUpdateTime()
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;
        Specified by:
        hasStatsUpdateTime in interface TablesDatasetMetadataOrBuilder
        Returns:
        Whether the statsUpdateTime field is set.

      • getStatsUpdateTime

        public com.google.protobuf.Timestamp getStatsUpdateTime()
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;
        Specified by:
        getStatsUpdateTime in interface TablesDatasetMetadataOrBuilder
        Returns:
        The statsUpdateTime.

      • setStatsUpdateTime

        public TablesDatasetMetadata.Builder setStatsUpdateTime​(com.google.protobuf.Timestamp value)
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;

      • setStatsUpdateTime

        public TablesDatasetMetadata.Builder setStatsUpdateTime​(com.google.protobuf.Timestamp.Builder builderForValue)
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;

      • mergeStatsUpdateTime

        public TablesDatasetMetadata.Builder mergeStatsUpdateTime​(com.google.protobuf.Timestamp value)
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;

      • clearStatsUpdateTime

        public TablesDatasetMetadata.Builder clearStatsUpdateTime()
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;

      • getStatsUpdateTimeBuilder

        public com.google.protobuf.Timestamp.Builder getStatsUpdateTimeBuilder()
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;

      • getStatsUpdateTimeOrBuilder

        public com.google.protobuf.TimestampOrBuilder getStatsUpdateTimeOrBuilder()
         Output only. The most recent timestamp when target_column_correlations
 field and all descendant ColumnSpec.data_stats and
 ColumnSpec.top_correlated_columns fields were last (re-)generated. Any
 changes that happened to the dataset afterwards are not reflected in these
 fields values. The regeneration happens in the background on a best effort
 basis.
        .google.protobuf.Timestamp stats_update_time = 7;
        Specified by:
        getStatsUpdateTimeOrBuilder in interface TablesDatasetMetadataOrBuilder

      • setUnknownFields

        public final TablesDatasetMetadata.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>

      • mergeUnknownFields

        public final TablesDatasetMetadata.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<TablesDatasetMetadata.Builder>