Google Cloud BigQuery-Kontextprotokolle
In diesem Dokument wird beschrieben, wie Felder von Google Cloud BigQuery-Kontextprotokollen den Feldern des Unified Data Model (UDM) von Google Security Operations zugeordnet werden.
Mit einem Datenaufnahmelabel wird der Parser identifiziert, der Roh-Logdaten in das strukturierte UDM-Format normalisiert. Die Informationen in diesem Dokument beziehen sich auf den Parser mit dem Datenaufnahmelabel GCP_BIGQUERY_CONTEXT.
Informationen zu anderen Kontextparsern, die von Google Security Operations unterstützt werden, finden Sie unter Kontextparser von Google Security Operations.
Feldzuordnungsreferenz
In diesem Abschnitt wird erläutert, wie der Google Security Operations-Parser Google Cloud BigQuery-Kontextfelder den UDM-Feldern (Unified Data Model) von Google Security Operations zuordnet.
Referenz für die Feldzuordnung: GCP_BIGQUERY_CONTEXT
In der folgenden Tabelle sind die Logfelder des Logtyps GCP_BIGQUERY_CONTEXT und die zugehörigen UDM-Felder aufgeführt.
| Log field | UDM mapping | Logic |
|---|---|---|
resource.data.location |
entity.location.country_or_region |
|
resource.data.creationTime |
entity.resource.attribute.creation_time |
|
resource.data.lastModifiedTime |
entity.resource.attribute.last_update_time |
|
name |
entity.resource.name |
|
resource.data.id |
entity.resource.product_object_id |
If the assetType log field value does not match the regular expression pattern Model, then the resource.data.id log field is mapped to the entity.resource.product_object_id UDM field. |
resource.data.modelReference.projectId |
entity.resource.product_object_id |
If the assetType log field value matches the regular expression pattern Model, then the resource.data.modelReference.projectId:resource.data.modelReference.datasetId.resource.data.modelReference.modelId log field is mapped to the entity.resource.product_object_id UDM field. |
resource.data.modelReference.datasetId |
entity.resource.product_object_id |
If the assetType log field value matches the regular expression pattern Model, then the resource.data.modelReference.projectId:resource.data.modelReference.datasetId.resource.data.modelReference.modelId log field is mapped to the entity.resource.product_object_id UDM field. |
resource.data.modelReference.modelId |
entity.resource.product_object_id |
If the assetType log field value matches the regular expression pattern Model, then the resource.data.modelReference.projectId:resource.data.modelReference.datasetId.resource.data.modelReference.modelId log field is mapped to the entity.resource.product_object_id UDM field. |
assetType |
entity.resource.resource_subtype |
|
|
entity.resource.resource_type |
If the assetType log field value matches the regular expression pattern Table, then the entity.resource.resource_type UDM field is set to TABLE.Else, if the assetType log field value matches the regular expression pattern Dataset, then the entity.resource.resource_type UDM field is set to DATASET.Else, if the assetType log field value matches the regular expression pattern Model, then the entity.resource.resource_type UDM field is set to TASK. |
|
entity.security_result.rule_name |
If the resource.data.view.privacyPolicy.aggregationThresholdPolicy.threshold log field value is not empty, then the entity.security_result.rule_name UDM field is set to privacy_policy. |
resource.data.description |
metadata.description |
|
|
metadata.entity_type |
The metadata.entity_type UDM field is set to RESOURCE. |
|
metadata.product_name |
The metadata.product_name UDM field is set to GCP BigQuery. |
resource.version |
metadata.product_version |
|
|
metadata.vendor_name |
The metadata.vendor_name UDM field is set to Google Cloud Platform. |
|
relations.direction |
The relations.direction UDM field is set to UNIDIRECTIONAL if one of the following log field value is not empty:
resource.parent log field value does not match the regular expression pattern the ancestors, then the relations.direction UDM field is set to UNIDIRECTIONAL.If the resource.parent log field value matches the regular expression pattern datasets, then the relations.direction UDM field is set to UNIDIRECTIONAL.If the resource.data.tableReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.direction UDM field is set to UNIDIRECTIONAL.Else, if the resource.data.modelReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.direction UDM field is set to UNIDIRECTIONAL.Else, if the resource.parent log field value matches the regular expression pattern projects, then the relations.direction UDM field is set to UNIDIRECTIONAL. |
|
relations.entity_type |
The relations.entity_type UDM field is set to RESOURCE if one of the following log field value is not empty:
resource.parent log field value does not match the regular expression pattern the ancestors, then the relations.entity_type UDM field is set to RESOURCE.If the resource.data.tableReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.entity_type UDM field is set to RESOURCE.If the resource.data.modelReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.entity_type UDM field is set to RESOURCE. |
resource.data.access.domain |
relations.entity.domain.name |
|
resource.data.access.groupByEmail |
relations.entity.group.email_addresses |
|
resource.data.access.specialGroup |
relations.entity.group.group_display_name |
|
resource.data.snapshotDefinition.baseTableReference.projectId |
relations.entity.resource_ancestors.name |
If the resource.data.snapshotDefinition.baseTableReference.projectId log field value is not empty, then the resource.data.snapshotDefinition.baseTableReference.projectId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.snapshotDefinition.baseTableReference.datasetId |
relations.entity.resource_ancestors.name |
If the resource.data.snapshotDefinition.baseTableReference.datasetId log field value is not empty, then the resource.data.snapshotDefinition.baseTableReference.datasetId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.cloneDefinition.baseTableReference.projectId |
relations.entity.resource_ancestors.name |
If the resource.data.cloneDefinition.baseTableReference.projectId log field value is not empty, then the resource.data.cloneDefinition.baseTableReference.projectId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.cloneDefinition.baseTableReference.datasetId |
relations.entity.resource_ancestors.name |
If the resource.data.cloneDefinition.baseTableReference.datasetId log field value is not empty, then the resource.data.cloneDefinition.baseTableReference.datasetId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.trainingRuns.dataSplitResult.trainingTable.projectId |
relations.entity.resource_ancestors.name |
If the resource.data.trainingRuns.dataSplitResult.trainingTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.trainingTable.projectId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.trainingRuns.dataSplitResult.trainingTable.datasetId |
relations.entity.resource_ancestors.name |
If the resource.data.trainingRuns.dataSplitResult.trainingTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.trainingTable.datasetId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.trainingRuns.dataSplitResult.evaluationTable.projectId |
relations.entity.resource_ancestors.name |
If the resource.data.trainingRuns.dataSplitResult.evaluationTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.evaluationTable.projectId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.trainingRuns.dataSplitResult.evaluationTable.datasetId |
relations.entity.resource_ancestors.name |
If the resource.data.trainingRuns.dataSplitResult.evaluationTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.evaluationTable.datasetId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.trainingRuns.dataSplitResult.testTable.projectId |
relations.entity.resource_ancestors.name |
If the resource.data.trainingRuns.dataSplitResult.testTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.testTable.projectId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
resource.data.trainingRuns.dataSplitResult.testTable.datasetId |
relations.entity.resource_ancestors.name |
If the resource.data.trainingRuns.dataSplitResult.testTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.testTable.datasetId log field is mapped to the relations.entity.resource_ancestors.name UDM field. |
|
relations.entity.resource_ancestors.resource_subtype |
The relations.entity.resource_ancestors.resource_subtype UDM field is set to projects if one of the following log field value is not empty:
relations.entity.resource_ancestors.resource_subtype UDM field is set to datasets if one of the following log field value is not empty:
|
|
relations.entity.resource_ancestors.resource_type |
The relations.entity.resource_ancestors.resource_type UDM field is set to CLOUD_PROJECT if one of the following log field value is not empty:
relations.entity.resource_ancestors.resource_type UDM field is set to DATASET if one of the following log field value is not empty:
|
resource.data.snapshotDefinition.snapshotTime |
relations.entity.resource.attribute.creation_time |
|
resource.data.cloneDefinition.cloneTime |
relations.entity.resource.attribute.creation_time |
|
ancestors |
relations.entity.resource.name |
If the resource.parent log field value does not match the regular expression pattern the ancestors, then the ancestors log field is mapped to the relations.entity.resource.name UDM field. |
resource.parent |
relations.entity.resource.name |
|
resource.data.snapshotDefinition.baseTableReference.tableId |
relations.entity.resource.name |
If the resource.data.snapshotDefinition.baseTableReference.tableId log field value is not empty, then the resource.data.snapshotDefinition.baseTableReference.tableId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.cloneDefinition.baseTableReference.tableId |
relations.entity.resource.name |
If the resource.data.cloneDefinition.baseTableReference.tableId log field value is not empty, then the resource.data.cloneDefinition.baseTableReference.tableId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.datasetReference.projectId |
relations.entity.resource.name |
If the resource.parent log field value is not empty, then the resource.data.datasetReference.projectId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.tableReference.datasetId |
relations.entity.resource.name |
If the resource.parent log field value is not empty, then the resource.data.tableReference.datasetId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.modelReference.projectId |
relations.entity.resource.name |
If the resource.parent log field value is not empty, then the resource.data.modelReference.projectId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.linkedDatasetSource.sourceDataset.datasetId |
relations.entity.resource.name |
If the resource.data.linkedDatasetSource.sourceDataset.datasetId log field value is not empty, then the resource.data.linkedDatasetSource.sourceDataset.datasetId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.linkedDatasetSource.sourceDataset.projectId |
relations.entity.resource.name |
If the resource.data.linkedDatasetSource.sourceDataset.projectId log field value is not empty, then the resource.data.linkedDatasetSource.sourceDataset.projectId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.remoteModelInfo.connection |
relations.entity.resource.name |
If the resource.data.remoteModelInfo.connection log field value is not empty, then the resource.data.remoteModelInfo.connection log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.trainingRuns.dataSplitResult.trainingTable.tableId |
relations.entity.resource.name |
If the resource.data.trainingRuns.dataSplitResult.trainingTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.trainingTable.tableId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.trainingRuns.dataSplitResult.evaluationTable.tableId |
relations.entity.resource.name |
If the resource.data.trainingRuns.dataSplitResult.evaluationTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.evaluationTable.tableId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.trainingRuns.dataSplitResult.testTable.tableId |
relations.entity.resource.name |
If the resource.data.trainingRuns.dataSplitResult.testTable.tableId log field value is not empty, then the resource.data.trainingRuns.dataSplitResult.testTable.tableId log field is mapped to the relations.entity.resource.name UDM field. |
resource.data.externalDataConfiguration.connectionId |
relations.entity.resource.product_object_id |
If the resource.data.externalDataConfiguration.connectionId log field value is not empty, then the resource.data.externalDataConfiguration.connectionId log field is mapped to the relations.entity.resource.product_object_id UDM field. |
resource.data.externalDataConfiguration.sourceFormat |
relations.entity.resource.resource_subtype |
If the resource.data.externalDataConfiguration.connectionId log field value is not empty, then the resource.data.externalDataConfiguration.sourceFormat log field is mapped to the relations.entity.resource.resource_subtype UDM field. |
resource.data.remoteModelInfo.remoteServiceType |
relations.entity.resource.resource_subtype |
If the resource.data.remoteModelInfo.connection log field value is not empty, then the resource.data.remoteModelInfo.remoteServiceType log field is mapped to the relations.entity.resource.resource_subtype UDM field. |
|
relations.entity.resource.resource_type |
The relations.entity.resource.resource_type UDM field is set to TABLE if one of the following log field value is not empty:
subtype and id fields is extracted from ancestors log field using the Grok pattern.If the subtype log field value is equal to projects and the resource.parent log field value does not match the regular expression pattern the ancestors, then the relations.entity.resource.resource_type UDM field is set to CLOUD_PROJECT.Else, if the subtype log field value is equal to folders and the resource.parent log field value does not match the regular expression pattern the ancestors, then the relations.entity.resource.resource_type UDM field is set to STORAGE_OBJECT.Else, if the subtype log field value is equal to organizations and the resource.parent log field value does not match the regular expression pattern the ancestors, then the relations.entity.resource.resource_type UDM field is set to CLOUD_ORGANIZATION.If the resource.parent log field value matches the regular expression pattern datasets, then the relations.entity.resource.resource_type UDM field is set to DATASET.If the resource.data.tableReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.entity.resource.resource_type UDM field is set to CLOUD_PROJECT.Else, if the resource.data.modelReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.entity.resource.resource_type UDM field is set to CLOUD_PROJECT.Else, if the resource.parent log field value matches the regular expression pattern projects, then the relations.entity.resource.resource_type UDM field is set to CLOUD_PROJECT.If the resource.data.linkedDatasetSource.sourceDataset.datasetId log field value is not empty, then the relations.entity.resource.resource_type UDM field is set to DATASET.If the resource.data.linkedDatasetSource.sourceDataset.projectId log field value is not empty, then the relations.entity.resource.resource_type UDM field is set to CLOUD_PROJECT.If the resource.data.remoteModelInfo.connection log field value is not empty, then the relations.entity.resource.resource_type UDM field is set to TASK. |
resource.data.access.role |
relations.entity.user.attribute.roles.name |
|
resource.data.access.userByEmail |
relations.entity.user.email_addresses |
|
|
relations.relationship |
The relations.relationship UDM field is set to MEMBER if one of the following log field value is not empty:
relations.relationship UDM field is set to DOWNLOADED_FROM if one of the following log field value is not empty:
resource.parent log field value does not match the regular expression pattern the ancestors, then the relations.relationship UDM field is set to MEMBER.If the resource.data.tableReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.relationship UDM field is set to MEMBER.If the resource.data.modelReference.projectId log field value is not empty and the resource.parent log field value matches the regular expression pattern datasets, then the relations.relationship UDM field is set to MEMBER.If the resource.data.access.role log field value is not empty, then the relations.relationship UDM field is set to OWNS. |
resource.data.hparamTrials.errorMessage |
entity.security_result.outcomes[hparam_trials_error_message] |
|
resource.data.hparamTrials.evaluationMetrics.regressionMetrics.meanAbsoluteError |
entity.security_result.outcomes[hparam_trials_evaluation_regression_metrics_mean_absolute_error] |
|
resource.data.hparamTrials.evaluationMetrics.regressionMetrics.meanSquaredError |
entity.security_result.outcomes[hparam_trials_evaluation_regression_metrics_mean_squared_error] |
|
resource.data.hparamTrials.evaluationMetrics.regressionMetrics.meanSquaredLogError |
entity.security_result.outcomes[hparam_trials_evaluation_regression_metrics_mean_squared_log_error] |
|
resource.data.hparamTrials.evaluationMetrics.regressionMetrics.medianAbsoluteError |
entity.security_result.outcomes[hparam_trials_evaluation_regression_metrics_median_absolute_error] |
|
resource.data.hparamTrials.evaluationMetrics.regressionMetrics.rSquared |
entity.security_result.outcomes[hparam_trials_evaluation_regression_metrics_r_squared] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.regressionMetrics.meanAbsoluteError |
entity.security_result.outcomes[hparam_trials_tuning_evaluation_regression_metrics_mean_absolute_error] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.regressionMetrics.meanSquaredError |
entity.security_result.outcomes[hparam_trials_tuning_evaluation_regression_metrics_mean_squared_error] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.regressionMetrics.meanSquaredLogError |
entity.security_result.outcomes[hparam_trials_tuning_evaluation_regression_metrics_mean_squared_log_error] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.regressionMetrics.medianAbsoluteError |
entity.security_result.outcomes[hparam_trials_tuning_evaluation_regression_metrics_median_absolute_error] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.regressionMetrics.rSquared |
entity.security_result.outcomes[hparam_trials_tuning_evaluation_regression_metrics_r_squared] |
|
resource.data.trainingRuns.evaluationMetrics.regressionMetrics.meanAbsoluteError |
entity.security_result.outcomes[trainingruns_evaluation_regression_metrics_mean_absolute_error] |
|
resource.data.trainingRuns.evaluationMetrics.regressionMetrics.meanSquaredError |
entity.security_result.outcomes[trainingruns_evaluation_regression_metrics_mean_squared_error] |
|
resource.data.trainingRuns.evaluationMetrics.regressionMetrics.meanSquaredLogError |
entity.security_result.outcomes[trainingruns_evaluation_regression_metrics_mean_squared_log_error] |
|
resource.data.trainingRuns.evaluationMetrics.regressionMetrics.medianAbsoluteError |
entity.security_result.outcomes[trainingruns_evaluation_regression_metrics_median_absolute_error] |
|
resource.data.trainingRuns.evaluationMetrics.regressionMetrics.rSquared |
entity.security_result.outcomes[trainingruns_evaluation_regression_metrics_r_squared] |
|
resource.data.trainingRuns.trainingOptions.lossType |
entity.security_result.outcomes[trainingruns_training_options_loss_type] |
|
resource.data.trainingRuns.trainingOptions.minSplitLoss |
entity.security_result.outcomes[trainingruns_training_options_min_split_loss] |
|
resource.data.view.privacyPolicy.aggregationThresholdPolicy.privacyUnitColumns |
entity.security_result.rule_labels[view_privacy_policy_aggregation_threshold_policy_privacy_unit_columns] |
|
resource.data.view.privacyPolicy.aggregationThresholdPolicy.threshold |
entity.security_result.rule_labels[view_privacy_policy_aggregation_threshold_policy_threshold] |
|
resource.data.hparamTrials.hparams.labelClassWeights |
entity.resource.attribute.labels[%{resource.data.hparamTrials.hparams.labelClassWeights.key}] |
|
resource.data.labels.key/value |
entity.resource.attribute.labels[%{resource.data.labels.key}] |
|
resource.data.trainingRuns.trainingOptions.labelClassWeights |
entity.resource.attribute.labels[%{resource.data.trainingRuns.trainingOptions.labelClassWeights.key}] |
|
resource.data.clustering.fields |
entity.resource.attribute.labels[clustering_fields] |
|
resource.data.datasetReference.datasetId |
entity.resource.attribute.labels[dataset_reference_datasetid] |
|
resource.data.defaultCollation |
entity.resource.attribute.labels[default_collation] |
|
resource.data.defaultEncryptionConfiguration.kmsKeyName |
entity.resource.attribute.labels[default_encryption_configuration_kms_key_name] |
|
resource.data.defaultPartitionExpirationMs |
entity.resource.attribute.labels[default_partition_expiration_ms] |
|
resource.data.defaultRoundingMode |
entity.resource.attribute.labels[default_rounding_mode] |
|
resource.data.defaultTableExpirationMs |
entity.resource.attribute.labels[default_table_expiration_ms] |
|
resource.data.defaultTrialId |
entity.resource.attribute.labels[default_trialid] |
|
resource.discoveryDocumentUri |
entity.resource.attribute.labels[discovery_document_uri] |
|
resource.discoveryName |
entity.resource.attribute.labels[discovery_name] |
|
resource.data.encryptionConfiguration.kmsKeyName |
entity.resource.attribute.labels[encryption_configuration_kms_key_name] |
|
resource.data.etag |
entity.resource.attribute.labels[etag] |
|
resource.data.expirationTime |
entity.resource.attribute.labels[expiration_time] |
|
resource.data.externalDatasetReference.connection |
entity.resource.attribute.labels[external_dataset_reference_connection] |
|
resource.data.externalDatasetReference.externalSource |
entity.resource.attribute.labels[external_dataset_reference_external_source] |
|
resource.data.featureColumns.name |
entity.resource.attribute.labels[feature_columns_name] |
|
resource.data.featureColumns.type.typeKind |
entity.resource.attribute.labels[feature_columns_type_type_kind] |
|
resource.data.friendlyName |
entity.resource.attribute.labels[friendly_name] |
|
resource.data.hparamSearchSpaces.activationFn.candidates |
entity.resource.attribute.labels[hparam_search_spaces_activation_fn_candidates] |
|
resource.data.hparamSearchSpaces.batchSize.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_batch_size_candidates_candidates] |
|
resource.data.hparamSearchSpaces.batchSize.range.max |
entity.resource.attribute.labels[hparam_search_spaces_batch_size_range_max] |
|
resource.data.hparamSearchSpaces.batchSize.range.min |
entity.resource.attribute.labels[hparam_search_spaces_batch_size_range_min] |
|
resource.data.hparamSearchSpaces.boosterType.candidates |
entity.resource.attribute.labels[hparam_search_spaces_booster_type_candidates] |
|
resource.data.hparamSearchSpaces.colsampleBylevel.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bylevel_candidates_candidates] |
|
resource.data.hparamSearchSpaces.colsampleBylevel.range.max |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bylevel_range_max] |
|
resource.data.hparamSearchSpaces.colsampleBylevel.range.min |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bylevel_range_min] |
|
resource.data.hparamSearchSpaces.colsampleBynode.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bynode_candidates_candidates] |
|
resource.data.hparamSearchSpaces.colsampleBynode.range.max |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bynode_range_max] |
|
resource.data.hparamSearchSpaces.colsampleBynode.range.min |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bynode_range_min] |
|
resource.data.hparamSearchSpaces.colsampleBytree.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bytree_candidates_candidates] |
|
resource.data.hparamSearchSpaces.colsampleBytree.range.max |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bytree_range_max] |
|
resource.data.hparamSearchSpaces.colsampleBytree.range.min |
entity.resource.attribute.labels[hparam_search_spaces_colsample_bytree_range_min] |
|
resource.data.hparamSearchSpaces.dartNormalizeType.candidates |
entity.resource.attribute.labels[hparam_search_spaces_dart_normalize_type_candidates] |
|
resource.data.hparamSearchSpaces.dropout.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_dropout_candidates_candidates] |
|
resource.data.hparamSearchSpaces.dropout.range.max |
entity.resource.attribute.labels[hparam_search_spaces_dropout_range_max] |
|
resource.data.hparamSearchSpaces.dropout.range.min |
entity.resource.attribute.labels[hparam_search_spaces_dropout_range_min] |
|
resource.data.hparamSearchSpaces.hiddenUnits.candidates.elements |
entity.resource.attribute.labels[hparam_search_spaces_hidden_units_candidates_elements] |
|
resource.data.hparamSearchSpaces.l1Reg.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_l_1_reg_candidates_candidates] |
|
resource.data.hparamSearchSpaces.l1Reg.range.max |
entity.resource.attribute.labels[hparam_search_spaces_l_1_reg_range_max] |
|
resource.data.hparamSearchSpaces.l1Reg.range.min |
entity.resource.attribute.labels[hparam_search_spaces_l_1_reg_range_min] |
|
resource.data.hparamSearchSpaces.l2Reg.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_l_2_reg_candidates_candidates] |
|
resource.data.hparamSearchSpaces.l2Reg.range.max |
entity.resource.attribute.labels[hparam_search_spaces_l_2_reg_range_max] |
|
resource.data.hparamSearchSpaces.l2Reg.range.min |
entity.resource.attribute.labels[hparam_search_spaces_l_2_reg_range_min] |
|
resource.data.hparamSearchSpaces.learnRate.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_learn_rate_candidates_candidates] |
|
resource.data.hparamSearchSpaces.learnRate.range.max |
entity.resource.attribute.labels[hparam_search_spaces_learn_rate_range_max] |
|
resource.data.hparamSearchSpaces.learnRate.range.min |
entity.resource.attribute.labels[hparam_search_spaces_learn_rate_range_min] |
|
resource.data.hparamSearchSpaces.maxTreeDepth.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_max_tree_depth_candidates_candidates] |
|
resource.data.hparamSearchSpaces.maxTreeDepth.range.max |
entity.resource.attribute.labels[hparam_search_spaces_max_tree_depth_range_max] |
|
resource.data.hparamSearchSpaces.maxTreeDepth.range.min |
entity.resource.attribute.labels[hparam_search_spaces_max_tree_depth_range_min] |
|
resource.data.hparamSearchSpaces.minSplitLoss.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_min_split_loss_candidates_candidates] |
|
resource.data.hparamSearchSpaces.minSplitLoss.range.max |
entity.resource.attribute.labels[hparam_search_spaces_min_split_loss_range_max] |
|
resource.data.hparamSearchSpaces.minSplitLoss.range.min |
entity.resource.attribute.labels[hparam_search_spaces_min_split_loss_range_min] |
|
resource.data.hparamSearchSpaces.minTreeChildWeight.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_min_tree_child_weight_candidates_candidates] |
|
resource.data.hparamSearchSpaces.minTreeChildWeight.range.max |
entity.resource.attribute.labels[hparam_search_spaces_min_tree_child_weight_range_max] |
|
resource.data.hparamSearchSpaces.minTreeChildWeight.range.min |
entity.resource.attribute.labels[hparam_search_spaces_min_tree_child_weight_range_min] |
|
resource.data.hparamSearchSpaces.numClusters.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_num_clusters_candidates_candidates] |
|
resource.data.hparamSearchSpaces.numClusters.range.max |
entity.resource.attribute.labels[hparam_search_spaces_num_clusters_range_max] |
|
resource.data.hparamSearchSpaces.numClusters.range.min |
entity.resource.attribute.labels[hparam_search_spaces_num_clusters_range_min] |
|
resource.data.hparamSearchSpaces.numFactors.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_num_factors_candidates_candidates] |
|
resource.data.hparamSearchSpaces.numFactors.range.max |
entity.resource.attribute.labels[hparam_search_spaces_num_factors_range_max] |
|
resource.data.hparamSearchSpaces.numFactors.range.min |
entity.resource.attribute.labels[hparam_search_spaces_num_factors_range_min] |
|
resource.data.hparamSearchSpaces.numParallelTree.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_num_parallel_tree_candidates_candidates] |
|
resource.data.hparamSearchSpaces.numParallelTree.range.max |
entity.resource.attribute.labels[hparam_search_spaces_num_parallel_tree_range_max] |
|
resource.data.hparamSearchSpaces.numParallelTree.range.min |
entity.resource.attribute.labels[hparam_search_spaces_num_parallel_tree_range_min] |
|
resource.data.hparamSearchSpaces.optimizer.candidates |
entity.resource.attribute.labels[hparam_search_spaces_optimizer_candidates] |
|
resource.data.hparamSearchSpaces.subsample.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_subsample_candidates_candidates] |
|
resource.data.hparamSearchSpaces.subsample.range.max |
entity.resource.attribute.labels[hparam_search_spaces_subsample_range_max] |
|
resource.data.hparamSearchSpaces.subsample.range.min |
entity.resource.attribute.labels[hparam_search_spaces_subsample_range_min] |
|
resource.data.hparamSearchSpaces.treeMethod.candidates |
entity.resource.attribute.labels[hparam_search_spaces_tree_method_candidates] |
|
resource.data.hparamSearchSpaces.walsAlpha.candidates.candidates |
entity.resource.attribute.labels[hparam_search_spaces_wals_alpha_candidates_candidates] |
|
resource.data.hparamSearchSpaces.walsAlpha.range.max |
entity.resource.attribute.labels[hparam_search_spaces_wals_alpha_range_max] |
|
resource.data.hparamSearchSpaces.walsAlpha.range.min |
entity.resource.attribute.labels[hparam_search_spaces_wals_alpha_range_min] |
|
resource.data.hparamTrials.endTimeMs |
entity.resource.attribute.labels[hparam_trials_end_time_ms] |
|
resource.data.hparamTrials.evalLoss |
entity.resource.attribute.labels[hparam_trials_eval_loss] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.aic |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_fitting_metrics_aic] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasDrift |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_has_drift] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasHolidayEffect |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_has_holiday_effect] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasSpikesAndDips |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_has_spikes_and_dips] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasStepChanges |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_has_step_changes] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.logLikelihood |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_fitting_metrics_log_likelihood] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.seasonalPeriods |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_seasonal_periods] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.timeSeriesId |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_time_series_id] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.timeSeriesIds |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_time_series_ids] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.variance |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_fitting_metrics_variance] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.d |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_non_seasonal_order_d] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.p |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_non_seasonal_order_p] |
|
resource.data.hparamTrials.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.q |
entity.resource.attribute.labels[hparam_trials_evaluation_arima_forecasting_single_model_non_seasonal_order_q] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.accuracy |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_aggregate_classification_metrics_accuracy] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.f1Score |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_aggregate_classification_metrics_f_1_score] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.logLoss |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_aggregate_classification_metrics_log_loss] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.precision |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_aggregate_classification_metrics_precision] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.recall |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_aggregate_classification_metrics_recall] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.rocAuc |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_aggregate_classification_metrics_roc_auc] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.threshold |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_aggregate_classification_metrics_threshold] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.accuracy |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_accuracy] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.f1Score |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_f_1_score] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.falseNegatives |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_false_negatives] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.falsePositives |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_false_positives] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.positiveClassThreshold |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_positive_class_threshold] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.precision |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_precision] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.recall |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_recall] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.trueNegatives |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_true_negatives] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.truePositives |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_confusion_matrix_list_true_positives] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.negativeLabel |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_negative_label] |
|
resource.data.hparamTrials.evaluationMetrics.binaryClassificationMetrics.positiveLabel |
entity.resource.attribute.labels[hparam_trials_evaluation_binary_classification_positive_label] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.clusters.centroidId |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_clusters_centroid_id] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.clusters.count |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_clusters_count] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.clusters.featureValues.categoricalValue.categoryCounts.category |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_feature_values_categorical_value_counts_category] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.clusters.featureValues.categoricalValue.categoryCounts.count |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_feature_values_categorical_value_counts_count] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.clusters.featureValues.featureColumn |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_feature_values_feature_column] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.clusters.featureValues.numericalValue |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_feature_values_numerical_value] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.daviesBouldinIndex |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_davies_bouldin_index] |
|
resource.data.hparamTrials.evaluationMetrics.clusteringMetrics.meanSquaredDistance |
entity.resource.attribute.labels[hparam_trials_evaluation_clustering_metrics_mean_squared_distance] |
|
resource.data.hparamTrials.evaluationMetrics.dimensionalityReductionMetrics.totalExplainedVarianceRatio |
entity.resource.attribute.labels[hparam_trials_evaluation_dimensionality_reduction_metrics_total_explained_variance_ratio] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.accuracy |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_aggregate_classification_metrics_accuracy] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.f1Score |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_aggregate_classification_metrics_f_1_score] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.logLoss |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_aggregate_classification_metrics_log_loss] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.precision |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_aggregate_classification_metrics_precision] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.recall |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_aggregate_classification_metrics_recall] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.rocAuc |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_aggregate_classification_metrics_roc_auc] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.threshold |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_aggregate_classification_metrics_threshold] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.confidenceThreshold |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_confusion_matrix_list_confidence_threshold] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.actualLabel |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_confusion_matrix_list_rows_actual_label] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.entries.itemCount |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_confusion_matrix_list_rows_entries_item_count] |
|
resource.data.hparamTrials.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.entries.predictedLabel |
entity.resource.attribute.labels[hparam_trials_evaluation_multiclass_classification_confusion_matrix_list_rows_entries_predicted_label] |
|
resource.data.hparamTrials.evaluationMetrics.rankingMetrics.averageRank |
entity.resource.attribute.labels[hparam_trials_evaluation_ranking_metrics_average_rank] |
|
resource.data.hparamTrials.evaluationMetrics.rankingMetrics.meanAveragePrecision |
entity.resource.attribute.labels[hparam_trials_evaluation_ranking_metrics_mean_average_precision] |
|
resource.data.hparamTrials.evaluationMetrics.rankingMetrics.meanSquaredError |
entity.resource.attribute.labels[hparam_trials_evaluation_ranking_metrics_mean_squared_error] |
|
resource.data.hparamTrials.evaluationMetrics.rankingMetrics.normalizedDiscountedCumulativeGain |
entity.resource.attribute.labels[hparam_trials_evaluation_ranking_metrics_normalized_discounted_cumulative_gain] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.aic |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_fitting_metrics_aic] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasDrift |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_has_drift] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasHolidayEffect |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_has_holiday_effect] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasSpikesAndDips |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_has_spikes_and_dips] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasStepChanges |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_has_step_changes] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.logLikelihood |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_fitting_metrics_log_likelihood] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.seasonalPeriods |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_seasonal_periods] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.timeSeriesId |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_time_series_id] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.timeSeriesIds |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_time_series_ids] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.variance |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_fitting_metrics_variance] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.d |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_non_seasonal_order_d] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.p |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_non_seasonal_order_p] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.q |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_arima_forecasting_single_model_non_seasonal_order_q] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.accuracy |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_aggregate_classification_metrics_accuracy] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.f1Score |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_aggregate_classification_metrics_f_1_score] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.logLoss |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_aggregate_classification_metrics_log_loss] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.precision |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_aggregate_classification_metrics_precision] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.recall |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_aggregate_classification_metrics_recall] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.rocAuc |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_aggregate_classification_metrics_roc_auc] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.threshold |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_aggregate_classification_metrics_threshold] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.accuracy |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_accuracy] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.f1Score |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_f_1_score] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.falseNegatives |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_false_negatives] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.falsePositives |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_false_positives] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.positiveClassThreshold |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_positive_class_threshold] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.precision |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_precision] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.recall |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_recall] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.trueNegatives |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_true_negatives] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.truePositives |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_confusion_matrix_list_true_positives] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.negativeLabel |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_negative_label] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.binaryClassificationMetrics.positiveLabel |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_binary_classification_positive_label] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.clusters.centroidId |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_clusters_centroid_id] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.clusters.count |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_clusters_count] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.clusters.featureValues.categoricalValue.categoryCounts.category |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_feature_values_categorical_value_counts_category] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.clusters.featureValues.categoricalValue.categoryCounts.count |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_feature_values_categorical_value_counts_count] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.clusters.featureValues.featureColumn |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_feature_values_feature_column] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.clusters.featureValues.numericalValue |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_feature_values_numerical_value] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.daviesBouldinIndex |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_davies_bouldin_index] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.clusteringMetrics.meanSquaredDistance |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_clustering_metrics_mean_squared_distance] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.dimensionalityReductionMetrics.totalExplainedVarianceRatio |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_dimensionality_reduction_metrics_total_explained_variance_ratio] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.accuracy |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_aggregate_classification_metrics_accuracy] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.f1Score |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_aggregate_classification_metrics_f_1_score] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.logLoss |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_aggregate_classification_metrics_log_loss] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.precision |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_aggregate_classification_metrics_precision] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.recall |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_aggregate_classification_metrics_recall] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.rocAuc |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_aggregate_classification_metrics_roc_auc] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.threshold |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_aggregate_classification_metrics_threshold] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.confidenceThreshold |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_confusion_matrix_list_confidence_threshold] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.actualLabel |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_confusion_matrix_list_rows_actual_label] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.entries.itemCount |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_confusion_matrix_list_rows_entries_item_count] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.entries.predictedLabel |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_multiclass_classification_confusion_matrix_list_rows_entries_predicted_label] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.rankingMetrics.averageRank |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_ranking_metrics_average_rank] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.rankingMetrics.meanAveragePrecision |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_ranking_metrics_mean_average_precision] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.rankingMetrics.meanSquaredError |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_ranking_metrics_mean_squared_error] |
|
resource.data.hparamTrials.hparamTuningEvaluationMetrics.rankingMetrics.normalizedDiscountedCumulativeGain |
entity.resource.attribute.labels[hparam_trials_tuning_evaluation_ranking_metrics_normalized_discounted_cumulative_gain] |
|
resource.data.hparamTrials.hparams.activationFn |
entity.resource.attribute.labels[hparam_trials_hparams_activation_fn] |
|
resource.data.hparamTrials.hparams.adjustStepChanges |
entity.resource.attribute.labels[hparam_trials_hparams_adjust_step_changes] |
|
resource.data.hparamTrials.hparams.approxGlobalFeatureContrib |
entity.resource.attribute.labels[hparam_trials_hparams_approx_global_feature_contrib] |
|
resource.data.hparamTrials.hparams.autoArimaMaxOrder |
entity.resource.attribute.labels[hparam_trials_hparams_auto_arima_max_order] |
|
resource.data.hparamTrials.hparams.autoArimaMinOrder |
entity.resource.attribute.labels[hparam_trials_hparams_auto_arima_min_order] |
|
resource.data.hparamTrials.hparams.autoArima |
entity.resource.attribute.labels[hparam_trials_hparams_auto_arima] |
|
resource.data.hparamTrials.hparams.autoClassWeights |
entity.resource.attribute.labels[hparam_trials_hparams_auto_class_weights] |
|
resource.data.hparamTrials.hparams.batchSize |
entity.resource.attribute.labels[hparam_trials_hparams_batch_size] |
|
resource.data.hparamTrials.hparams.boosterType |
entity.resource.attribute.labels[hparam_trials_hparams_booster_type] |
|
resource.data.hparamTrials.hparams.budgetHours |
entity.resource.attribute.labels[hparam_trials_hparams_budget_hours] |
|
resource.data.hparamTrials.hparams.calculatePValues |
entity.resource.attribute.labels[hparam_trials_hparams_calculate_p_values] |
|
resource.data.hparamTrials.hparams.categoryEncodingMethod |
entity.resource.attribute.labels[hparam_trials_hparams_category_encoding_method] |
|
resource.data.hparamTrials.hparams.cleanSpikesAndDips |
entity.resource.attribute.labels[hparam_trials_hparams_clean_spikes_and_dips] |
|
resource.data.hparamTrials.hparams.colsampleBylevel |
entity.resource.attribute.labels[hparam_trials_hparams_colsample_bylevel] |
|
resource.data.hparamTrials.hparams.colsampleBynode |
entity.resource.attribute.labels[hparam_trials_hparams_colsample_bynode] |
|
resource.data.hparamTrials.hparams.colsampleBytree |
entity.resource.attribute.labels[hparam_trials_hparams_colsample_bytree] |
|
resource.data.hparamTrials.hparams.dartNormalizeType |
entity.resource.attribute.labels[hparam_trials_hparams_dart_normalize_type] |
|
resource.data.hparamTrials.hparams.dataFrequency |
entity.resource.attribute.labels[hparam_trials_hparams_data_frequency] |
|
resource.data.hparamTrials.hparams.dataSplitColumn |
entity.resource.attribute.labels[hparam_trials_hparams_data_split_column] |
|
resource.data.hparamTrials.hparams.dataSplitEvalFraction |
entity.resource.attribute.labels[hparam_trials_hparams_data_split_eval_fraction] |
|
resource.data.hparamTrials.hparams.dataSplitMethod |
entity.resource.attribute.labels[hparam_trials_hparams_data_split_method] |
|
resource.data.hparamTrials.hparams.decomposeTimeSeries |
entity.resource.attribute.labels[hparam_trials_hparams_decompose_time_series] |
|
resource.data.hparamTrials.hparams.distanceType |
entity.resource.attribute.labels[hparam_trials_hparams_distance_type] |
|
resource.data.hparamTrials.hparams.dropout |
entity.resource.attribute.labels[hparam_trials_hparams_dropout] |
|
resource.data.hparamTrials.hparams.earlyStop |
entity.resource.attribute.labels[hparam_trials_hparams_early_stop] |
|
resource.data.hparamTrials.hparams.enableGlobalExplain |
entity.resource.attribute.labels[hparam_trials_hparams_enable_global_explain] |
|
resource.data.hparamTrials.hparams.feedbackType |
entity.resource.attribute.labels[hparam_trials_hparams_feedback_type] |
|
resource.data.hparamTrials.hparams.fitIntercept |
entity.resource.attribute.labels[hparam_trials_hparams_fit_intercept] |
|
resource.data.hparamTrials.hparams.hiddenUnits |
entity.resource.attribute.labels[hparam_trials_hparams_hidden_units] |
|
resource.data.hparamTrials.hparams.holidayRegion |
entity.resource.attribute.labels[hparam_trials_hparams_holiday_region] |
|
resource.data.hparamTrials.hparams.holidayRegions |
entity.resource.attribute.labels[hparam_trials_hparams_holiday_regions] |
|
resource.data.hparamTrials.hparams.horizon |
entity.resource.attribute.labels[hparam_trials_hparams_horizon] |
|
resource.data.hparamTrials.hparams.hparamTuningObjectives |
entity.resource.attribute.labels[hparam_trials_hparams_hparam_tuning_objectives] |
|
resource.data.hparamTrials.hparams.includeDrift |
entity.resource.attribute.labels[hparam_trials_hparams_include_drift] |
|
resource.data.hparamTrials.hparams.initialLearnRate |
entity.resource.attribute.labels[hparam_trials_hparams_initial_learn_rate] |
|
resource.data.hparamTrials.hparams.inputLabelColumns |
entity.resource.attribute.labels[hparam_trials_hparams_input_label_columns] |
|
resource.data.hparamTrials.hparams.instanceWeightColumn |
entity.resource.attribute.labels[hparam_trials_hparams_instance_weight_column] |
|
resource.data.hparamTrials.hparams.integratedGradientsNumSteps |
entity.resource.attribute.labels[hparam_trials_hparams_integrated_gradients_num_steps] |
|
resource.data.hparamTrials.hparams.itemColumn |
entity.resource.attribute.labels[hparam_trials_hparams_item_column] |
|
resource.data.hparamTrials.hparams.kmeansInitializationColumn |
entity.resource.attribute.labels[hparam_trials_hparams_kmeans_initialization_column] |
|
resource.data.hparamTrials.hparams.kmeansInitializationMethod |
entity.resource.attribute.labels[hparam_trials_hparams_kmeans_initialization_method] |
|
resource.data.hparamTrials.hparams.l1RegActivation |
entity.resource.attribute.labels[hparam_trials_hparams_l_1_reg_activation] |
|
resource.data.hparamTrials.hparams.l1Regularization |
entity.resource.attribute.labels[hparam_trials_hparams_l_1_regularization] |
|
resource.data.hparamTrials.hparams.l2Regularization |
entity.resource.attribute.labels[hparam_trials_hparams_l_2_regularization] |
|
resource.data.hparamTrials.hparams.learnRateStrategy |
entity.resource.attribute.labels[hparam_trials_hparams_learn_rate_strategy] |
|
resource.data.hparamTrials.hparams.learnRate |
entity.resource.attribute.labels[hparam_trials_hparams_learn_rate] |
|
resource.data.hparamTrials.hparams.lossType |
entity.resource.attribute.labels[hparam_trials_hparams_loss_type] |
|
resource.data.hparamTrials.hparams.maxIterations |
entity.resource.attribute.labels[hparam_trials_hparams_max_iterations] |
|
resource.data.hparamTrials.hparams.maxParallelTrials |
entity.resource.attribute.labels[hparam_trials_hparams_max_parallel_trials] |
|
resource.data.hparamTrials.hparams.maxTimeSeriesLength |
entity.resource.attribute.labels[hparam_trials_hparams_max_time_series_length] |
|
resource.data.hparamTrials.hparams.maxTreeDepth |
entity.resource.attribute.labels[hparam_trials_hparams_max_tree_depth] |
|
resource.data.hparamTrials.hparams.minRelativeProgress |
entity.resource.attribute.labels[hparam_trials_hparams_min_relative_progress] |
|
resource.data.hparamTrials.hparams.minSplitLoss |
entity.resource.attribute.labels[hparam_trials_hparams_min_split_loss] |
|
resource.data.hparamTrials.hparams.minTimeSeriesLength |
entity.resource.attribute.labels[hparam_trials_hparams_min_time_series_length] |
|
resource.data.hparamTrials.hparams.minTreeChildWeight |
entity.resource.attribute.labels[hparam_trials_hparams_min_tree_child_weight] |
|
resource.data.hparamTrials.hparams.modelRegistry |
entity.resource.attribute.labels[hparam_trials_hparams_model_registry] |
|
resource.data.hparamTrials.hparams.modelUri |
entity.resource.attribute.labels[hparam_trials_hparams_model_uri] |
|
resource.data.hparamTrials.hparams.nonSeasonalOrder.d |
entity.resource.attribute.labels[hparam_trials_hparams_non_seasonal_order_d] |
|
resource.data.hparamTrials.hparams.nonSeasonalOrder.p |
entity.resource.attribute.labels[hparam_trials_hparams_non_seasonal_order_p] |
|
resource.data.hparamTrials.hparams.nonSeasonalOrder.q |
entity.resource.attribute.labels[hparam_trials_hparams_non_seasonal_order_q] |
|
resource.data.hparamTrials.hparams.numClusters |
entity.resource.attribute.labels[hparam_trials_hparams_num_clusters] |
|
resource.data.hparamTrials.hparams.numFactors |
entity.resource.attribute.labels[hparam_trials_hparams_num_factors] |
|
resource.data.hparamTrials.hparams.numParallelTree |
entity.resource.attribute.labels[hparam_trials_hparams_num_parallel_tree] |
|
resource.data.hparamTrials.hparams.numPrincipalComponents |
entity.resource.attribute.labels[hparam_trials_hparams_num_principal_components] |
|
resource.data.hparamTrials.hparams.numTrials |
entity.resource.attribute.labels[hparam_trials_hparams_num_trials] |
|
resource.data.hparamTrials.hparams.optimizationStrategy |
entity.resource.attribute.labels[hparam_trials_hparams_optimization_strategy] |
|
resource.data.hparamTrials.hparams.optimizer |
entity.resource.attribute.labels[hparam_trials_hparams_optimizer] |
|
resource.data.hparamTrials.hparams.pcaExplainedVarianceRatio |
entity.resource.attribute.labels[hparam_trials_hparams_pca_explained_variance_ratio] |
|
resource.data.hparamTrials.hparams.pcaSolver |
entity.resource.attribute.labels[hparam_trials_hparams_pca_solver] |
|
resource.data.hparamTrials.hparams.sampledShapleyNumPaths |
entity.resource.attribute.labels[hparam_trials_hparams_sampled_shapley_num_paths] |
|
resource.data.hparamTrials.hparams.scaleFeatures |
entity.resource.attribute.labels[hparam_trials_hparams_scale_features] |
|
resource.data.hparamTrials.hparams.standardizeFeatures |
entity.resource.attribute.labels[hparam_trials_hparams_standardize_features] |
|
resource.data.hparamTrials.hparams.subsample |
entity.resource.attribute.labels[hparam_trials_hparams_subsample] |
|
resource.data.hparamTrials.hparams.tfVersion |
entity.resource.attribute.labels[hparam_trials_hparams_tf_version] |
|
resource.data.hparamTrials.hparams.timeSeriesDataColumn |
entity.resource.attribute.labels[hparam_trials_hparams_time_series_data_column] |
|
resource.data.hparamTrials.hparams.timeSeriesIdColumn |
entity.resource.attribute.labels[hparam_trials_hparams_time_series_id_column] |
|
resource.data.hparamTrials.hparams.timeSeriesIdColumns |
entity.resource.attribute.labels[hparam_trials_hparams_time_series_id_columns] |
|
resource.data.hparamTrials.hparams.timeSeriesLengthFraction |
entity.resource.attribute.labels[hparam_trials_hparams_time_series_length_fraction] |
|
resource.data.hparamTrials.hparams.timeSeriesTimestampColumn |
entity.resource.attribute.labels[hparam_trials_hparams_time_series_timestamp_column] |
|
resource.data.hparamTrials.hparams.treeMethod |
entity.resource.attribute.labels[hparam_trials_hparams_tree_method] |
|
resource.data.hparamTrials.hparams.trendSmoothingWindowSize |
entity.resource.attribute.labels[hparam_trials_hparams_trend_smoothing_window_size] |
|
resource.data.hparamTrials.hparams.userColumn |
entity.resource.attribute.labels[hparam_trials_hparams_user_column] |
|
resource.data.hparamTrials.hparams.vertexAiModelVersionAliases |
entity.resource.attribute.labels[hparam_trials_hparams_vertex_ai_model_version_aliases] |
|
resource.data.hparamTrials.hparams.walsAlpha |
entity.resource.attribute.labels[hparam_trials_hparams_wals_alpha] |
|
resource.data.hparamTrials.hparams.warmStart |
entity.resource.attribute.labels[hparam_trials_hparams_warm_start] |
|
resource.data.hparamTrials.hparams.xgboostVersion |
entity.resource.attribute.labels[hparam_trials_hparams_xgboost_version] |
|
resource.data.hparamTrials.startTimeMs |
entity.resource.attribute.labels[hparam_trials_start_time_ms] |
|
resource.data.hparamTrials.status |
entity.resource.attribute.labels[hparam_trials_status] |
|
resource.data.hparamTrials.trainingLoss |
entity.resource.attribute.labels[hparam_trials_training_loss] |
|
resource.data.hparamTrials.trialId |
entity.resource.attribute.labels[hparam_trials_trial_id] |
|
resource.data.isCaseInsensitive |
entity.resource.attribute.labels[is_case_insensitive] |
|
resource.data.kind |
entity.resource.attribute.labels[kind] |
|
resource.data.labelColumns.name |
entity.resource.attribute.labels[label_columns_name] |
|
resource.data.labelColumns.type.typeKind |
entity.resource.attribute.labels[label_columns_type_type_kind] |
|
resource.data.materializedView.enableRefresh |
entity.resource.attribute.labels[materialized_view_enable_refresh] |
|
resource.data.materializedView.lastRefreshTime |
entity.resource.attribute.labels[materialized_view_last_refresh_time] |
|
resource.data.materializedView.query |
entity.resource.attribute.labels[materialized_view_query] |
|
resource.data.materializedView.refreshIntervalMs |
entity.resource.attribute.labels[materialized_view_refresh_interval_ms] |
|
resource.data.materializedViewStatus.lastRefreshStatus.debugInfo |
entity.resource.attribute.labels[materialized_view_status_last_refresh_status_debug_info] |
|
resource.data.materializedViewStatus.lastRefreshStatus.location |
entity.resource.attribute.labels[materialized_view_status_last_refresh_status_location] |
|
resource.data.materializedViewStatus.lastRefreshStatus.message |
entity.resource.attribute.labels[materialized_view_status_last_refresh_status_message] |
|
resource.data.materializedViewStatus.lastRefreshStatus.reason |
entity.resource.attribute.labels[materialized_view_status_last_refresh_status_reason] |
|
resource.data.materializedViewStatus.refreshWatermark |
entity.resource.attribute.labels[materialized_view_status_refresh_watermark] |
|
resource.data.maxStaleness |
entity.resource.attribute.labels[max_staleness] |
|
resource.data.maxTimeTravelHours |
entity.resource.attribute.labels[max_time_travel_hours] |
|
resource.data.modelReference.modelId |
entity.resource.attribute.labels[model_reference_modelid] |
|
resource.data.modelType |
entity.resource.attribute.labels[model_type] |
|
resource.data.numBytes |
entity.resource.attribute.labels[num_Bytes] |
|
resource.data.numLongTermBytes |
entity.resource.attribute.labels[num_long_term_bytes] |
|
resource.data.numRows |
entity.resource.attribute.labels[num_rows] |
|
resource.data.optimalTrialIds |
entity.resource.attribute.labels[optimal_trial_id] |
|
resource.data.requirePartitionFilter |
entity.resource.attribute.labels[require_partition_filter] |
|
resource.data.satisfiesPzs |
entity.resource.attribute.labels[satisfies_pzs] |
|
resource.data.selfLink |
entity.resource.attribute.labels[self_link] |
|
resource.data.storageBillingModel |
entity.resource.attribute.labels[storage_billing_model] |
|
resource.data.streamingBuffer.estimatedBytes |
entity.resource.attribute.labels[streaming_buffer_estimated_bytes] |
|
resource.data.streamingBuffer.estimatedRows |
entity.resource.attribute.labels[streaming_buffer_estimated_rows] |
|
resource.data.streamingBuffer.oldestEntryTime |
entity.resource.attribute.labels[streaming_buffer_oldest_entry_time] |
|
resource.data.tableConstraints.foreignKeys.columnReferences.referencedColumn |
entity.resource.attribute.labels[table_constraints_foreign_keys_column_references_referenced_column] |
|
resource.data.tableConstraints.foreignKeys.columnReferences.referencingColumn |
entity.resource.attribute.labels[table_constraints_foreign_keys_column_references_referencing_column] |
|
resource.data.tableConstraints.foreignKeys.name |
entity.resource.attribute.labels[table_constraints_foreign_keys_name] |
|
resource.data.tableConstraints.foreignKeys.referencedTable.datasetId |
entity.resource.attribute.labels[table_constraints_foreign_keys_referenced_table_dataset_id] |
|
resource.data.tableConstraints.foreignKeys.referencedTable.projectId |
entity.resource.attribute.labels[table_constraints_foreign_keys_referenced_table_project_id] |
|
resource.data.tableConstraints.foreignKeys.referencedTable.tableId |
entity.resource.attribute.labels[table_constraints_foreign_keys_referenced_table_table_id] |
|
resource.data.tableConstraints.primaryKey.columns |
entity.resource.attribute.labels[table_constraints_primary_key_columns] |
|
resource.data.schema.fields.collation |
entity.resource.attribute.labels[table_field_collation] |
|
resource.data.schema.fields.defaultValueExpression |
entity.resource.attribute.labels[table_field_default_value_expression] |
|
resource.data.schema.fields.description |
entity.resource.attribute.labels[table_field_description] |
|
resource.data.schema.fields.maxLength |
entity.resource.attribute.labels[table_field_max_length] |
|
resource.data.schema.fields.mode |
entity.resource.attribute.labels[table_field_mode] |
|
resource.data.schema.fields.name |
entity.resource.attribute.labels[table_field_name] |
|
resource.data.schema.fields.policyTags.names[] |
entity.resource.attribute.labels[table_field_policy_tags_names] |
|
resource.data.schema.fields.precision |
entity.resource.attribute.labels[table_field_precision] |
|
resource.data.schema.fields.roundingMode |
entity.resource.attribute.labels[table_field_rounding_mode] |
|
resource.data.schema.fields.scale |
entity.resource.attribute.labels[table_field_scale] |
|
resource.data.schema.fields.type |
entity.resource.attribute.labels[table_field_type] |
|
resource.data.rangePartitioning.field |
entity.resource.attribute.labels[table_range_partitioning_field] |
|
resource.data.rangePartitioning.range.end |
entity.resource.attribute.labels[table_range_partitioning_range_end] |
|
resource.data.rangePartitioning.range.interval |
entity.resource.attribute.labels[table_range_partitioning_range_interval] |
|
resource.data.rangePartitioning.range.start |
entity.resource.attribute.labels[table_range_partitioning_range_start] |
|
resource.data.tableReference.tableId |
entity.resource.attribute.labels[table_reference_table_id] |
|
resource.data.timePartitioning.expirationMs |
entity.resource.attribute.labels[table_time_partitioning_expiration_ms] |
|
resource.data.timePartitioning.field |
entity.resource.attribute.labels[table_time_partitioning_field] |
|
resource.data.timePartitioning.requirePartitionFilter |
entity.resource.attribute.labels[table_time_partitioning_require_partition_filter] |
|
resource.data.timePartitioning.type |
entity.resource.attribute.labels[table_time_partitioning_type] |
|
resource.data.tags |
entity.resource.attribute.labels[tags] |
|
resource.data.trainingRuns.classLevelGlobalExplanations.classLabel |
entity.resource.attribute.labels[trainingruns_class_level_global_explanations_class_label] |
|
resource.data.trainingRuns.classLevelGlobalExplanations.explanations.attribution |
entity.resource.attribute.labels[trainingruns_class_level_global_explanations_explanations_attribution] |
|
resource.data.trainingRuns.classLevelGlobalExplanations.explanations.featureName |
entity.resource.attribute.labels[trainingruns_class_level_global_explanations_explanations_feature_name] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.aic |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_fitting_metrics_aic] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasDrift |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_has_drift] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasHolidayEffect |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_has_holiday_effect] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasSpikesAndDips |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_has_spikes_and_dips] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.hasStepChanges |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_has_step_changes] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.logLikelihood |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_fitting_metrics_log_likelihood] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.seasonalPeriods |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_fitting_metrics_seasonal_periods] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.timeSeriesId |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_time_series_id] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.timeSeriesIds |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_time_series_ids] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.arimaFittingMetrics.variance |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_fitting_metrics_variance] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.d |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_non_seasonal_order_d] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.p |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_non_seasonal_order_p] |
|
resource.data.trainingRuns.evaluationMetrics.arimaForecastingMetrics.arimaSingleModelForecastingMetrics.nonSeasonalOrder.q |
entity.resource.attribute.labels[trainingruns_evaluation_arima_forecasting_single_model_non_seasonal_order_q] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.accuracy |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_aggregate_classification_metrics_accuracy] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.f1Score |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_aggregate_classification_metrics_f_1_score] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.logLoss |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_aggregate_classification_metrics_log_loss] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.precision |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_aggregate_classification_metrics_precision] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.recall |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_aggregate_classification_metrics_recall] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.rocAuc |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_aggregate_classification_metrics_roc_auc] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.aggregateClassificationMetrics.threshold |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_aggregate_classification_metrics_threshold] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.accuracy |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_accuracy] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.f1Score |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_f_1_score] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.falseNegatives |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_false_negatives] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.falsePositives |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_false_positives] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.positiveClassThreshold |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_positive_class_threshold] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.precision |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_precision] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.recall |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_recall] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.trueNegatives |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_true_negatives] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.binaryConfusionMatrixList.truePositives |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_confusion_matrix_list_true_positives] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.negativeLabel |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_negative_label] |
|
resource.data.trainingRuns.evaluationMetrics.binaryClassificationMetrics.positiveLabel |
entity.resource.attribute.labels[trainingruns_evaluation_binary_classification_positive_label] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.clusters.centroidId |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_clusters_centroid_id] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.clusters.count |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_clusters_count] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.clusters.featureValues.categoricalValue.categoryCounts.category |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_feature_values_categorical_value_counts_category] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.clusters.featureValues.categoricalValue.categoryCounts.count |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_feature_values_categorical_value_counts_count] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.clusters.featureValues.featureColumn |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_feature_values_feature_column] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.clusters.featureValues.numericalValue |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_feature_values_numerical_value] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.daviesBouldinIndex |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_davies_bouldin_index] |
|
resource.data.trainingRuns.evaluationMetrics.clusteringMetrics.meanSquaredDistance |
entity.resource.attribute.labels[trainingruns_evaluation_clustering_metrics_mean_squared_distance] |
|
resource.data.trainingRuns.evaluationMetrics.dimensionalityReductionMetrics.totalExplainedVarianceRatio |
entity.resource.attribute.labels[trainingruns_evaluation_dimensionality_reduction_metrics_total_explained_variance_ratio] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.accuracy |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_aggregate_classification_metrics_accuracy] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.f1Score |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_aggregate_classification_metrics_f_1_score] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.logLoss |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_aggregate_classification_metrics_log_loss] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.precision |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_aggregate_classification_metrics_precision] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.recall |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_aggregate_classification_metrics_recall] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.rocAuc |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_aggregate_classification_metrics_roc_auc] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.aggregateClassificationMetrics.threshold |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_aggregate_classification_metrics_threshold] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.confidenceThreshold |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_confusion_matrix_list_confidence_threshold] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.actualLabel |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_confusion_matrix_list_rows_actual_label] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.entries.itemCount |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_confusion_matrix_list_rows_entries_item_count] |
|
resource.data.trainingRuns.evaluationMetrics.multiClassClassificationMetrics.confusionMatrixList.rows.entries.predictedLabel |
entity.resource.attribute.labels[trainingruns_evaluation_multiclass_classification_confusion_matrix_list_rows_entries_predicted_label] |
|
resource.data.trainingRuns.evaluationMetrics.rankingMetrics.averageRank |
entity.resource.attribute.labels[trainingruns_evaluation_ranking_metrics_average_rank] |
|
resource.data.trainingRuns.evaluationMetrics.rankingMetrics.meanAveragePrecision |
entity.resource.attribute.labels[trainingruns_evaluation_ranking_metrics_mean_average_precision] |
|
resource.data.trainingRuns.evaluationMetrics.rankingMetrics.meanSquaredError |
entity.resource.attribute.labels[trainingruns_evaluation_ranking_metrics_mean_squared_error] |
|
resource.data.trainingRuns.evaluationMetrics.rankingMetrics.normalizedDiscountedCumulativeGain |
entity.resource.attribute.labels[trainingruns_evaluation_ranking_metrics_normalized_discounted_cumulative_gain] |
|
resource.data.trainingRuns.modelLevelGlobalExplanation.classLabel |
entity.resource.attribute.labels[trainingruns_model_level_global_explanation_class_label] |
|
resource.data.trainingRuns.modelLevelGlobalExplanation.explanations.attribution |
entity.resource.attribute.labels[trainingruns_model_level_global_explanation_explanations_attribution] |
|
resource.data.trainingRuns.modelLevelGlobalExplanation.explanations.featureName |
entity.resource.attribute.labels[trainingruns_model_level_global_explanation_explanations_feature_name] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.arimaCoefficients.autoRegressiveCoefficients |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_auto_regressive] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.arimaCoefficients.interceptCoefficient |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_intercept_coefficient] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.arimaCoefficients.movingAverageCoefficients |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_moving_average] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.arimaFittingMetrics.aic |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_fitting_metrics_aic] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.arimaFittingMetrics.logLikelihood |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_fitting_metrics_log_likelihood] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.arimaFittingMetrics.variance |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_fitting_metrics_variance] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.hasDrift |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_has_drift] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.hasHolidayEffect |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_has_holiday_effect] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.hasSpikesAndDips |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_has_spikes_and_dips] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.hasStepChanges |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_has_step_changes] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.nonSeasonalOrder.d |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_non_seasonal_order_d] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.nonSeasonalOrder.p |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_non_seasonal_order_p] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.nonSeasonalOrder.q |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_non_seasonal_order_q] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.seasonalPeriods |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_seasonal_periods] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.timeSeriesId |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_time_series_id] |
|
resource.data.trainingRuns.results.arimaResult.arimaModelInfo.timeSeriesIds |
entity.resource.attribute.labels[trainingruns_results_arima_model_info_time_series_ids] |
|
resource.data.trainingRuns.results.arimaResult.seasonalPeriods |
entity.resource.attribute.labels[trainingruns_results_arima_result_seasonal_periods] |
|
resource.data.trainingRuns.results.clusterInfos.centroidId |
entity.resource.attribute.labels[trainingruns_results_cluster_infos_centroid_id] |
|
resource.data.trainingRuns.results.clusterInfos.clusterRadius |
entity.resource.attribute.labels[trainingruns_results_cluster_infos_cluster_radius] |
|
resource.data.trainingRuns.results.clusterInfos.clusterSize |
entity.resource.attribute.labels[trainingruns_results_cluster_infos_cluster_size] |
|
resource.data.trainingRuns.results.durationMs |
entity.resource.attribute.labels[trainingruns_results_duration_ms] |
|
resource.data.trainingRuns.results.evalLoss |
entity.resource.attribute.labels[trainingruns_results_eval_loss] |
|
resource.data.trainingRuns.results.index |
entity.resource.attribute.labels[trainingruns_results_index] |
|
resource.data.trainingRuns.results.learnRate |
entity.resource.attribute.labels[trainingruns_results_learn_rate] |
|
resource.data.trainingRuns.results.principalComponentInfos.cumulativeExplainedVarianceRatio |
entity.resource.attribute.labels[trainingruns_results_principal_component_infos_cumulative_explained_variance_ratio] |
|
resource.data.trainingRuns.results.principalComponentInfos.explainedVarianceRatio |
entity.resource.attribute.labels[trainingruns_results_principal_component_infos_explained_variance_ratio] |
|
resource.data.trainingRuns.results.principalComponentInfos.explainedVariance |
entity.resource.attribute.labels[trainingruns_results_principal_component_infos_explained_variance] |
|
resource.data.trainingRuns.results.principalComponentInfos.principalComponentId |
entity.resource.attribute.labels[trainingruns_results_principal_component_infos_principal_component_id] |
|
resource.data.trainingRuns.results.trainingLoss |
entity.resource.attribute.labels[trainingruns_results_training_loss] |
|
resource.data.trainingRuns.startTime |
entity.resource.attribute.labels[trainingruns_start_time] |
|
resource.data.trainingRuns.trainingOptions.activationFn |
entity.resource.attribute.labels[trainingruns_training_options_activation_fn] |
|
resource.data.trainingRuns.trainingOptions.adjustStepChanges |
entity.resource.attribute.labels[trainingruns_training_options_adjust_step_changes] |
|
resource.data.trainingRuns.trainingOptions.approxGlobalFeatureContrib |
entity.resource.attribute.labels[trainingruns_training_options_approx_global_feature_contrib] |
|
resource.data.trainingRuns.trainingOptions.autoArimaMaxOrder |
entity.resource.attribute.labels[trainingruns_training_options_auto_arima_max_order] |
|
resource.data.trainingRuns.trainingOptions.autoArimaMinOrder |
entity.resource.attribute.labels[trainingruns_training_options_auto_arima_min_order] |
|
resource.data.trainingRuns.trainingOptions.autoArima |
entity.resource.attribute.labels[trainingruns_training_options_auto_arima] |
|
resource.data.trainingRuns.trainingOptions.autoClassWeights |
entity.resource.attribute.labels[trainingruns_training_options_auto_class_weights] |
|
resource.data.trainingRuns.trainingOptions.batchSize |
entity.resource.attribute.labels[trainingruns_training_options_batch_size] |
|
resource.data.trainingRuns.trainingOptions.boosterType |
entity.resource.attribute.labels[trainingruns_training_options_booster_type] |
|
resource.data.trainingRuns.trainingOptions.budgetHours |
entity.resource.attribute.labels[trainingruns_training_options_budget_hours] |
|
resource.data.trainingRuns.trainingOptions.calculatePValues |
entity.resource.attribute.labels[trainingruns_training_options_calculate_p_values] |
|
resource.data.trainingRuns.trainingOptions.categoryEncodingMethod |
entity.resource.attribute.labels[trainingruns_training_options_category_encoding_method] |
|
resource.data.trainingRuns.trainingOptions.cleanSpikesAndDips |
entity.resource.attribute.labels[trainingruns_training_options_clean_spikes_and_dips] |
|
resource.data.trainingRuns.trainingOptions.colsampleBylevel |
entity.resource.attribute.labels[trainingruns_training_options_colsample_bylevel] |
|
resource.data.trainingRuns.trainingOptions.colsampleBynode |
entity.resource.attribute.labels[trainingruns_training_options_colsample_bynode] |
|
resource.data.trainingRuns.trainingOptions.colsampleBytree |
entity.resource.attribute.labels[trainingruns_training_options_colsample_bytree] |
|
resource.data.trainingRuns.trainingOptions.dartNormalizeType |
entity.resource.attribute.labels[trainingruns_training_options_dart_normalize_type] |
|
resource.data.trainingRuns.trainingOptions.dataFrequency |
entity.resource.attribute.labels[trainingruns_training_options_data_frequency] |
|
resource.data.trainingRuns.trainingOptions.dataSplitColumn |
entity.resource.attribute.labels[trainingruns_training_options_data_split_column] |
|
resource.data.trainingRuns.trainingOptions.dataSplitEvalFraction |
entity.resource.attribute.labels[trainingruns_training_options_data_split_eval_fraction] |
|
resource.data.trainingRuns.trainingOptions.dataSplitMethod |
entity.resource.attribute.labels[trainingruns_training_options_data_split_method] |
|
resource.data.trainingRuns.trainingOptions.decomposeTimeSeries |
entity.resource.attribute.labels[trainingruns_training_options_decompose_time_series] |
|
resource.data.trainingRuns.trainingOptions.distanceType |
entity.resource.attribute.labels[trainingruns_training_options_distance_type] |
|
resource.data.trainingRuns.trainingOptions.dropout |
entity.resource.attribute.labels[trainingruns_training_options_dropout] |
|
resource.data.trainingRuns.trainingOptions.earlyStop |
entity.resource.attribute.labels[trainingruns_training_options_early_stop] |
|
resource.data.trainingRuns.trainingOptions.enableGlobalExplain |
entity.resource.attribute.labels[trainingruns_training_options_enable_global_explain] |
|
resource.data.trainingRuns.trainingOptions.feedbackType |
entity.resource.attribute.labels[trainingruns_training_options_feedback_type] |
|
resource.data.trainingRuns.trainingOptions.fitIntercept |
entity.resource.attribute.labels[trainingruns_training_options_fit_intercept] |
|
resource.data.trainingRuns.trainingOptions.hiddenUnits |
entity.resource.attribute.labels[trainingruns_training_options_hidden_units] |
|
resource.data.trainingRuns.trainingOptions.holidayRegion |
entity.resource.attribute.labels[trainingruns_training_options_holiday_region] |
|
resource.data.trainingRuns.trainingOptions.holidayRegions |
entity.resource.attribute.labels[trainingruns_training_options_holiday_regions] |
|
resource.data.trainingRuns.trainingOptions.horizon |
entity.resource.attribute.labels[trainingruns_training_options_horizon] |
|
resource.data.trainingRuns.trainingOptions.hparamTuningObjectives |
entity.resource.attribute.labels[trainingruns_training_options_hparam_tuning_objectives] |
|
resource.data.trainingRuns.trainingOptions.includeDrift |
entity.resource.attribute.labels[trainingruns_training_options_include_drift] |
|
resource.data.trainingRuns.trainingOptions.initialLearnRate |
entity.resource.attribute.labels[trainingruns_training_options_initial_learn_rate] |
|
resource.data.trainingRuns.trainingOptions.inputLabelColumns |
entity.resource.attribute.labels[trainingruns_training_options_input_label_columns] |
|
resource.data.trainingRuns.trainingOptions.instanceWeightColumn |
entity.resource.attribute.labels[trainingruns_training_options_instance_weight_column] |
|
resource.data.trainingRuns.trainingOptions.integratedGradientsNumSteps |
entity.resource.attribute.labels[trainingruns_training_options_integrated_gradients_num_steps] |
|
resource.data.trainingRuns.trainingOptions.itemColumn |
entity.resource.attribute.labels[trainingruns_training_options_item_column] |
|
resource.data.trainingRuns.trainingOptions.kmeansInitializationColumn |
entity.resource.attribute.labels[trainingruns_training_options_kmeans_initialization_column] |
|
resource.data.trainingRuns.trainingOptions.kmeansInitializationMethod |
entity.resource.attribute.labels[trainingruns_training_options_kmeans_initialization_method] |
|
resource.data.trainingRuns.trainingOptions.l1RegActivation |
entity.resource.attribute.labels[trainingruns_training_options_l_1_reg_activation] |
|
resource.data.trainingRuns.trainingOptions.l1Regularization |
entity.resource.attribute.labels[trainingruns_training_options_l_1_regularization] |
|
resource.data.trainingRuns.trainingOptions.l2Regularization |
entity.resource.attribute.labels[trainingruns_training_options_l_2_regularization] |
|
resource.data.trainingRuns.trainingOptions.learnRateStrategy |
entity.resource.attribute.labels[trainingruns_training_options_learn_rate_strategy] |
|
resource.data.trainingRuns.trainingOptions.learnRate |
entity.resource.attribute.labels[trainingruns_training_options_learn_rate] |
|
resource.data.trainingRuns.trainingOptions.maxIterations |
entity.resource.attribute.labels[trainingruns_training_options_max_iterations] |
|
resource.data.trainingRuns.trainingOptions.maxParallelTrials |
entity.resource.attribute.labels[trainingruns_training_options_max_parallel_trials] |
|
resource.data.trainingRuns.trainingOptions.maxTimeSeriesLength |
entity.resource.attribute.labels[trainingruns_training_options_max_time_series_length] |
|
resource.data.trainingRuns.trainingOptions.maxTreeDepth |
entity.resource.attribute.labels[trainingruns_training_options_max_tree_depth] |
|
resource.data.trainingRuns.trainingOptions.minRelativeProgress |
entity.resource.attribute.labels[trainingruns_training_options_min_relative_progress] |
|
resource.data.trainingRuns.trainingOptions.minTimeSeriesLength |
entity.resource.attribute.labels[trainingruns_training_options_min_time_series_length] |
|
resource.data.trainingRuns.trainingOptions.minTreeChildWeight |
entity.resource.attribute.labels[trainingruns_training_options_min_tree_child_weight] |
|
resource.data.trainingRuns.trainingOptions.modelRegistry |
entity.resource.attribute.labels[trainingruns_training_options_model_registry] |
|
resource.data.trainingRuns.trainingOptions.modelUri |
entity.resource.attribute.labels[trainingruns_training_options_model_uri] |
|
resource.data.trainingRuns.trainingOptions.nonSeasonalOrder.d |
entity.resource.attribute.labels[trainingruns_training_options_non_seasonal_order_d] |
|
resource.data.trainingRuns.trainingOptions.nonSeasonalOrder.p |
entity.resource.attribute.labels[trainingruns_training_options_non_seasonal_order_p] |
|
resource.data.trainingRuns.trainingOptions.nonSeasonalOrder.q |
entity.resource.attribute.labels[trainingruns_training_options_non_seasonal_order_q] |
|
resource.data.trainingRuns.trainingOptions.numClusters |
entity.resource.attribute.labels[trainingruns_training_options_num_clusters] |
|
resource.data.trainingRuns.trainingOptions.numFactors |
entity.resource.attribute.labels[trainingruns_training_options_num_factors] |
|
resource.data.trainingRuns.trainingOptions.numParallelTree |
entity.resource.attribute.labels[trainingruns_training_options_num_parallel_tree] |
|
resource.data.trainingRuns.trainingOptions.numPrincipalComponents |
entity.resource.attribute.labels[trainingruns_training_options_num_principal_components] |
|
resource.data.trainingRuns.trainingOptions.numTrials |
entity.resource.attribute.labels[trainingruns_training_options_num_trials] |
|
resource.data.trainingRuns.trainingOptions.optimizationStrategy |
entity.resource.attribute.labels[trainingruns_training_options_optimization_strategy] |
|
resource.data.trainingRuns.trainingOptions.optimizer |
entity.resource.attribute.labels[trainingruns_training_options_optimizer] |
|
resource.data.trainingRuns.trainingOptions.pcaExplainedVarianceRatio |
entity.resource.attribute.labels[trainingruns_training_options_pca_explained_variance_ratio] |
|
resource.data.trainingRuns.trainingOptions.pcaSolver |
entity.resource.attribute.labels[trainingruns_training_options_pca_solver] |
|
resource.data.trainingRuns.trainingOptions.sampledShapleyNumPaths |
entity.resource.attribute.labels[trainingruns_training_options_sampled_shapley_num_paths] |
|
resource.data.trainingRuns.trainingOptions.scaleFeatures |
entity.resource.attribute.labels[trainingruns_training_options_scale_features] |
|
resource.data.trainingRuns.trainingOptions.standardizeFeatures |
entity.resource.attribute.labels[trainingruns_training_options_standardize_features] |
|
resource.data.trainingRuns.trainingOptions.subsample |
entity.resource.attribute.labels[trainingruns_training_options_subsample] |
|
resource.data.trainingRuns.trainingOptions.tfVersion |
entity.resource.attribute.labels[trainingruns_training_options_tf_version] |
|
resource.data.trainingRuns.trainingOptions.timeSeriesDataColumn |
entity.resource.attribute.labels[trainingruns_training_options_time_series_data_column] |
|
resource.data.trainingRuns.trainingOptions.timeSeriesIdColumn |
entity.resource.attribute.labels[trainingruns_training_options_time_series_id_column] |
|
resource.data.trainingRuns.trainingOptions.timeSeriesIdColumns |
entity.resource.attribute.labels[trainingruns_training_options_time_series_id_columns] |
|
resource.data.trainingRuns.trainingOptions.timeSeriesLengthFraction |
entity.resource.attribute.labels[trainingruns_training_options_time_series_length_fraction] |
|
resource.data.trainingRuns.trainingOptions.timeSeriesTimestampColumn |
entity.resource.attribute.labels[trainingruns_training_options_time_series_timestamp_column] |
|
resource.data.trainingRuns.trainingOptions.treeMethod |
entity.resource.attribute.labels[trainingruns_training_options_tree_method] |
|
resource.data.trainingRuns.trainingOptions.trendSmoothingWindowSize |
entity.resource.attribute.labels[trainingruns_training_options_trend_smoothing_window_size] |
|
resource.data.trainingRuns.trainingOptions.userColumn |
entity.resource.attribute.labels[trainingruns_training_options_user_column] |
|
resource.data.trainingRuns.trainingOptions.vertexAiModelVersionAliases |
entity.resource.attribute.labels[trainingruns_training_options_vertex_ai_model_version_aliases] |
|
resource.data.trainingRuns.trainingOptions.walsAlpha |
entity.resource.attribute.labels[trainingruns_training_options_wals_alpha] |
|
resource.data.trainingRuns.trainingOptions.warmStart |
entity.resource.attribute.labels[trainingruns_training_options_warm_start] |
|
resource.data.trainingRuns.trainingOptions.xgboostVersion |
entity.resource.attribute.labels[trainingruns_training_options_xgboost_version] |
|
resource.data.trainingRuns.trainingStartTime |
entity.resource.attribute.labels[trainingruns_training_start_time] |
|
resource.data.trainingRuns.vertexAiModelId |
entity.resource.attribute.labels[trainingruns_vertex_ai_model_id] |
|
resource.data.trainingRuns.vertexAiModelVersion |
entity.resource.attribute.labels[trainingruns_vertex_ai_model_version] |
|
resource.data.transformColumns.name |
entity.resource.attribute.labels[transform_columns_name] |
|
resource.data.transformColumns.transformSql |
entity.resource.attribute.labels[transform_columns_transform_sql] |
|
resource.data.transformColumns.type.typeKind |
entity.resource.attribute.labels[transform_columns_type_type_kind] |
|
resource.data.type |
entity.resource.attribute.labels[type] |
|
resource.data.view.query |
entity.resource.attribute.labels[view_query] |
|
resource.data.view.useLegacySql |
entity.resource.attribute.labels[view_use_legacy_sql] |
|
resource.data.view.userDefinedFunctionResources.inlineCode |
entity.resource.attribute.labels[view_user_defined_function_resources_inline_code] |
|
resource.data.view.userDefinedFunctionResources.resourceUri |
entity.resource.attribute.labels[view_user_defined_function_resources_resource_uri] |
|
resource.data.externalDataConfiguration.autodetect |
relations.entity.resource.attribute.labels[external_data_configuration_autodetect] |
|
resource.data.externalDataConfiguration.avroOptions.useAvroLogicalTypes |
relations.entity.resource.attribute.labels[external_data_configuration_avro_options_use_avro_logical_types] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.columns.encoding |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_columns_encoding] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.columns.fieldName |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_columns_field_name] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.columns.onlyReadLatest |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_columns_only_read_latest] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.columns.qualifierEncoded |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_columns_qualifier_encoded] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.columns.qualifierString |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_columns_qualifier_string] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.columns.type |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_columns_type] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.encoding |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_encoding] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.familyId |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_family_id] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.onlyReadLatest |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_only_read_latest] |
|
resource.data.externalDataConfiguration.bigtableOptions.columnFamilies.type |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_column_families_type] |
|
resource.data.externalDataConfiguration.bigtableOptions.ignoreUnspecifiedColumnFamilies |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_ignore_unspecified_column_families] |
|
resource.data.externalDataConfiguration.bigtableOptions.readRowkeyAsString |
relations.entity.resource.attribute.labels[external_data_configuration_bigtable_options_read_rowkey_as_string] |
|
resource.data.externalDataConfiguration.compression |
relations.entity.resource.attribute.labels[external_data_configuration_compression] |
|
resource.data.externalDataConfiguration.csvOptions.allowJaggedRows |
relations.entity.resource.attribute.labels[external_data_configuration_csv_options_allow_jagged_rows] |
|
resource.data.externalDataConfiguration.csvOptions.allowQuotedNewlines |
relations.entity.resource.attribute.labels[external_data_configuration_csv_options_allow_quoted_newlines] |
|
resource.data.externalDataConfiguration.csvOptions.encoding |
relations.entity.resource.attribute.labels[external_data_configuration_csv_options_encoding] |
|
resource.data.externalDataConfiguration.csvOptions.fieldDelimiter |
relations.entity.resource.attribute.labels[external_data_configuration_csv_options_field_delimiter] |
|
resource.data.externalDataConfiguration.csvOptions.preserveAsciiControlCharacters |
relations.entity.resource.attribute.labels[external_data_configuration_csv_options_preserve_ascii_control_characters] |
|
resource.data.externalDataConfiguration.csvOptions.quote |
relations.entity.resource.attribute.labels[external_data_configuration_csv_options_quote] |
|
resource.data.externalDataConfiguration.csvOptions.skipLeadingRows |
relations.entity.resource.attribute.labels[external_data_configuration_csv_options_skip_leading_rows] |
|
resource.data.externalDataConfiguration.decimalTargetTypes |
relations.entity.resource.attribute.labels[external_data_configuration_decimal_target_types] |
|
resource.data.externalDataConfiguration.fileSetSpecType |
relations.entity.resource.attribute.labels[external_data_configuration_file_set_spec_type] |
|
resource.data.externalDataConfiguration.googleSheetsOptions.range |
relations.entity.resource.attribute.labels[external_data_configuration_google_sheets_options_range] |
|
resource.data.externalDataConfiguration.googleSheetsOptions.skipLeadingRows |
relations.entity.resource.attribute.labels[external_data_configuration_google_sheets_options_skip_leading_rows] |
|
resource.data.externalDataConfiguration.hivePartitioningOptions.fields |
relations.entity.resource.attribute.labels[external_data_configuration_hive_partitioning_options_fields] |
|
resource.data.externalDataConfiguration.hivePartitioningOptions.mode |
relations.entity.resource.attribute.labels[external_data_configuration_hive_partitioning_options_mode] |
|
resource.data.externalDataConfiguration.hivePartitioningOptions.requirePartitionFilter |
relations.entity.resource.attribute.labels[external_data_configuration_hive_partitioning_options_require_partition_filter] |
|
resource.data.externalDataConfiguration.hivePartitioningOptions.sourceUriPrefix |
relations.entity.resource.attribute.labels[external_data_configuration_hive_partitioning_options_source_uri_prefix] |
|
resource.data.externalDataConfiguration.ignoreUnknownValues |
relations.entity.resource.attribute.labels[external_data_configuration_ignore_unknown_values] |
|
resource.data.externalDataConfiguration.jsonOptions.encoding |
relations.entity.resource.attribute.labels[external_data_configuration_json_options_encoding] |
|
resource.data.externalDataConfiguration.maxBadRecords |
relations.entity.resource.attribute.labels[external_data_configuration_max_bad_records] |
|
resource.data.externalDataConfiguration.metadataCacheMode |
relations.entity.resource.attribute.labels[external_data_configuration_metadata_cache_mode] |
|
resource.data.externalDataConfiguration.objectMetadata |
relations.entity.resource.attribute.labels[external_data_configuration_object_metadata] |
|
resource.data.externalDataConfiguration.parquetOptions.enableListInference |
relations.entity.resource.attribute.labels[external_data_configuration_parquet_options_enable_list_inference] |
|
resource.data.externalDataConfiguration.parquetOptions.enumAsString |
relations.entity.resource.attribute.labels[external_data_configuration_parquet_options_enum_as_string] |
|
resource.data.externalDataConfiguration.referenceFileSchemaUri |
relations.entity.resource.attribute.labels[external_data_configuration_reference_file_schema_uri] |
|
resource.data.externalDataConfiguration.schema.fields.collation |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_collation] |
|
resource.data.externalDataConfiguration.schema.fields.defaultValueExpression |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_default_value_expression] |
|
resource.data.externalDataConfiguration.schema.fields.description |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_description] |
|
resource.data.externalDataConfiguration.schema.fields.maxLength |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_max_length] |
|
resource.data.externalDataConfiguration.schema.fields.mode |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_mode] |
|
resource.data.externalDataConfiguration.schema.fields.name |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_name] |
|
resource.data.externalDataConfiguration.schema.fields.policyTags.names |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_policy_tags_names] |
|
resource.data.externalDataConfiguration.schema.fields.precision |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_precision] |
|
resource.data.externalDataConfiguration.schema.fields.roundingMode |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_rounding_mode] |
|
resource.data.externalDataConfiguration.schema.fields.scale |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_scale] |
|
resource.data.externalDataConfiguration.schema.fields.type |
relations.entity.resource.attribute.labels[external_data_configuration_schema_fields_type] |
|
resource.data.externalDataConfiguration.sourceUris |
relations.entity.resource.attribute.labels[external_data_configuration_source_uris] |
|
resource.data.remoteModelInfo.endpoint |
relations.entity.resource.attribute.labels[remote_model_endpoint] |
|
resource.data.remoteModelInfo.maxBatchingRows |
relations.entity.resource.attribute.labels[remote_model_max_batching_rows] |
|
resource.data.remoteModelInfo.remoteModelVersion |
relations.entity.resource.attribute.labels[remote_model_version] |
|
resource.data.access.dataset.dataset.datasetId |
relations.entity.user.attribute.labels[access_dataset_dataset_datasetid] |
|
resource.data.access.dataset.dataset.projectId |
relations.entity.user.attribute.labels[access_dataset_dataset_projectid] |
|
resource.data.access.dataset.targetTypes |
relations.entity.user.attribute.labels[access_dataset_dataset_target_types] |
|
resource.data.access.routine.datasetId |
relations.entity.user.attribute.labels[access_routine_datasetid] |
|
resource.data.access.routine.projectId |
relations.entity.user.attribute.labels[access_routine_projectid] |
|
resource.data.access.routine.routineId |
relations.entity.user.attribute.labels[access_routine_routineid] |
|
resource.data.access.view.datasetId |
relations.entity.user.attribute.labels[access_view_datasetid] |
|
resource.data.access.view.projectId |
relations.entity.user.attribute.labels[access_view_projectid] |
|
resource.data.access.view.tableId |
relations.entity.user.attribute.labels[access_view_tableid] |
|
resource.data.access.iamMember |
relations.entity.user.attribute.labels[iam_member] |