Class TablesDatasetMetadata (2.49.0)

public final class TablesDatasetMetadata extends GeneratedMessageV3 implements TablesDatasetMetadataOrBuilder

Metadata for a dataset used for AutoML Tables.

Protobuf type google.cloud.automl.v1beta1.TablesDatasetMetadata

Static Fields

ML_USE_COLUMN_SPEC_ID_FIELD_NUMBER

public static final int ML_USE_COLUMN_SPEC_ID_FIELD_NUMBER
Field Value
Type Description
int

PRIMARY_TABLE_SPEC_ID_FIELD_NUMBER

public static final int PRIMARY_TABLE_SPEC_ID_FIELD_NUMBER
Field Value
Type Description
int

STATS_UPDATE_TIME_FIELD_NUMBER

public static final int STATS_UPDATE_TIME_FIELD_NUMBER
Field Value
Type Description
int

TARGET_COLUMN_CORRELATIONS_FIELD_NUMBER

public static final int TARGET_COLUMN_CORRELATIONS_FIELD_NUMBER
Field Value
Type Description
int

TARGET_COLUMN_SPEC_ID_FIELD_NUMBER

public static final int TARGET_COLUMN_SPEC_ID_FIELD_NUMBER
Field Value
Type Description
int

WEIGHT_COLUMN_SPEC_ID_FIELD_NUMBER

public static final int WEIGHT_COLUMN_SPEC_ID_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static TablesDatasetMetadata getDefaultInstance()
Returns
Type Description
TablesDatasetMetadata

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static TablesDatasetMetadata.Builder newBuilder()
Returns
Type Description
TablesDatasetMetadata.Builder

newBuilder(TablesDatasetMetadata prototype)

public static TablesDatasetMetadata.Builder newBuilder(TablesDatasetMetadata prototype)
Parameter
Name Description
prototype TablesDatasetMetadata
Returns
Type Description
TablesDatasetMetadata.Builder

parseDelimitedFrom(InputStream input)

public static TablesDatasetMetadata parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TablesDatasetMetadata parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static TablesDatasetMetadata parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static TablesDatasetMetadata parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static TablesDatasetMetadata parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static TablesDatasetMetadata parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static TablesDatasetMetadata parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static TablesDatasetMetadata parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static TablesDatasetMetadata parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TablesDatasetMetadata parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static TablesDatasetMetadata parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static TablesDatasetMetadata parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
TablesDatasetMetadata
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<TablesDatasetMetadata> parser()
Returns
Type Description
Parser<TablesDatasetMetadata>

Methods

containsTargetColumnCorrelations(String key)

public boolean containsTargetColumnCorrelations(String key)

Output only. Correlations between

TablesDatasetMetadata.target_column_spec_id, and other columns of the

TablesDatasetMetadataprimary_table. 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;

Parameter
Name Description
key String
Returns
Type Description
boolean

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

public TablesDatasetMetadata getDefaultInstanceForType()
Returns
Type Description
TablesDatasetMetadata

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;

Returns
Type Description
String

The mlUseColumnSpecId.

getMlUseColumnSpecIdBytes()

public 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;

Returns
Type Description
ByteString

The bytes for mlUseColumnSpecId.

getParserForType()

public Parser<TablesDatasetMetadata> getParserForType()
Returns
Type Description
Parser<TablesDatasetMetadata>
Overrides

getPrimaryTableSpecId()

public String getPrimaryTableSpecId()

Output only. The table_spec_id of the primary table of this dataset.

string primary_table_spec_id = 1;

Returns
Type Description
String

The primaryTableSpecId.

getPrimaryTableSpecIdBytes()

public ByteString getPrimaryTableSpecIdBytes()

Output only. The table_spec_id of the primary table of this dataset.

string primary_table_spec_id = 1;

Returns
Type Description
ByteString

The bytes for primaryTableSpecId.

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

getStatsUpdateTime()

public 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;

Returns
Type Description
Timestamp

The statsUpdateTime.

getStatsUpdateTimeOrBuilder()

public 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;

Returns
Type Description
TimestampOrBuilder

getTargetColumnCorrelations() (deprecated)

public Map<String,CorrelationStats> getTargetColumnCorrelations()
Returns
Type Description
Map<String,CorrelationStats>

getTargetColumnCorrelationsCount()

public int getTargetColumnCorrelationsCount()

Output only. Correlations between

TablesDatasetMetadata.target_column_spec_id, and other columns of the

TablesDatasetMetadataprimary_table. 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;

Returns
Type Description
int

getTargetColumnCorrelationsMap()

public Map<String,CorrelationStats> getTargetColumnCorrelationsMap()

Output only. Correlations between

TablesDatasetMetadata.target_column_spec_id, and other columns of the

TablesDatasetMetadataprimary_table. 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;

Returns
Type Description
Map<String,CorrelationStats>

getTargetColumnCorrelationsOrDefault(String key, CorrelationStats defaultValue)

public CorrelationStats getTargetColumnCorrelationsOrDefault(String key, CorrelationStats defaultValue)

Output only. Correlations between

TablesDatasetMetadata.target_column_spec_id, and other columns of the

TablesDatasetMetadataprimary_table. 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;

Parameters
Name Description
key String
defaultValue CorrelationStats
Returns
Type Description
CorrelationStats

getTargetColumnCorrelationsOrThrow(String key)

public CorrelationStats getTargetColumnCorrelationsOrThrow(String key)

Output only. Correlations between

TablesDatasetMetadata.target_column_spec_id, and other columns of the

TablesDatasetMetadataprimary_table. 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;

Parameter
Name Description
key String
Returns
Type Description
CorrelationStats

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;

Returns
Type Description
String

The targetColumnSpecId.

getTargetColumnSpecIdBytes()

public 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;

Returns
Type Description
ByteString

The bytes for targetColumnSpecId.

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;

Returns
Type Description
String

The weightColumnSpecId.

getWeightColumnSpecIdBytes()

public 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;

Returns
Type Description
ByteString

The bytes for weightColumnSpecId.

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;

Returns
Type Description
boolean

Whether the statsUpdateTime field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public TablesDatasetMetadata.Builder newBuilderForType()
Returns
Type Description
TablesDatasetMetadata.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected TablesDatasetMetadata.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
TablesDatasetMetadata.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public TablesDatasetMetadata.Builder toBuilder()
Returns
Type Description
TablesDatasetMetadata.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException