Collect Google Cloud BigQuery context logs
This document describes how fields of Google Cloud BigQuery context logs map to Google Security Operations Unified Data Model (UDM) fields.
An ingestion label identifies the parser which normalizes raw log data to structured UDM format. The information in this document applies to the parser with the GCP_BIGQUERY_CONTEXT ingestion label.
For information about other context parsers that Google SecOps supports, see Google SecOps context parsers.
Supported Google Cloud BigQuery context log formats
The Google Cloud BigQuery context parser supports logs in JSON format.
Supported Google Cloud BigQuery context sample logs
JSON:
{ "name": "dummyname", "assetType": "bigquery.googleapis.com/Table", "resource": { "version": "v2", "discoveryDocumentUri": "https://www.googleapis.com/discovery/v1/apis/bigquery/v2/rest", "discoveryName": "Table", "parent": "//bigquery.googleapis.com/projects/smp-project-prod/datasets/dset_2021_ingest", "data": { "creationTime": "1624332841842", "description": "Output data from dataflow", "id": "dummy_id", "kind": "bigquery#table", "location": "US", "schema": { "fields": [ { "description": "", "name": "ia_time", "type": "TYPE_STRING" }, { "description": "", "name": "year_mth_id", "type": "TYPE_STRING" }, { "description": "", "name": "new_mem_attr_id", "type": "TYPE_STRING" }, { "description": "", "name": "etg_id", "type": "TYPE_STRING" }, { "description": "", "name": "sev_level", "type": "TYPE_STRING" }, { "description": "", "name": "tx_ind", "type": "TYPE_STRING" }, { "description": "", "name": "tos_i_5", "type": "TYPE_STRING" }, { "description": "", "name": "gbo", "type": "TYPE_STRING" }, { "description": "", "name": "channel", "type": "TYPE_STRING" }, { "description": "", "name": "formulary", "type": "TYPE_STRING" }, { "description": "", "name": "outlier", "type": "TYPE_STRING" }, { "description": "", "name": "complete", "type": "TYPE_STRING" }, { "description": "", "name": "network_paid_status_id", "type": "TYPE_STRING" }, { "description": "", "name": "provider_status_id", "type": "TYPE_STRING" }, { "description": "", "name": "amt_req", "type": "TYPE_STRING" }, { "description": "", "name": "amt_eqv", "type": "TYPE_STRING" }, { "description": "", "name": "amt_pay", "type": "TYPE_STRING" }, { "description": "", "name": "amt_np", "type": "TYPE_STRING" }, { "description": "", "name": "scripts", "type": "TYPE_STRING" }, { "description": "", "name": "days_sup", "type": "TYPE_STRING" }, { "description": "", "name": "generic", "type": "TYPE_STRING" }, { "description": "", "name": "script_gen", "type": "TYPE_STRING" }, { "description": "", "name": "meta_file_name", "type": "TYPE_STRING" }, { "description": "", "name": "bq_load_timestamp", "type": "TYPE_TIMESTAMP" } ] }, "tableReference": { "datasetId": "dset_2021_ingest", "projectId": "smp-project-prod", "tableId": "l2_sample_202106_land" }, "timePartitioning": { "type": "DAY" } } }, "ancestors": [ "projects/111111111180", "folders/111111111525", "folders/111111111900", "folders/111111111330", "organizations/111111111402" ] }
Field mapping reference
This section explains how the Google SecOps parser maps Google Cloud BigQuery context fields to Google SecOps Unified Data Model (UDM) fields.
Field mapping reference: GCP_BIGQUERY_CONTEXT
The following table lists the log fields of the GCP_BIGQUERY_CONTEXT log type and their corresponding UDM fields.
| 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] |