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public interface TablesDatasetMetadataOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
containsTargetColumnCorrelations(String key)
public abstract 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 | |
getMlUseColumnSpecId()
public abstract 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 abstract 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. |
getPrimaryTableSpecId()
public abstract 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 abstract 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. |
getStatsUpdateTime()
public abstract 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 abstract 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()
public abstract Map<String,CorrelationStats> getTargetColumnCorrelations()Use #getTargetColumnCorrelationsMap() instead.
| Returns | |
|---|---|
| Type | Description |
Map<String,CorrelationStats> | |
getTargetColumnCorrelationsCount()
public abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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 abstract 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. |