Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12345678]

▼NGoogle
▼NApis
▼NBigquery
▼Nv2
►NData
CAggregateClassificationMetrics	Aggregate metrics for classification/classifier models. For multi-class models, the metrics are either macro-averaged or micro-averaged. When macro-averaged, the metrics are calculated for each label and then an unweighted average is taken of those values. When micro-averaged, the metric is calculated globally by counting the total number of correctly predicted rows.
CArgument	Input/output argument of a function or a stored procedure.
CArimaCoefficients	Arima coefficients.
CArimaFittingMetrics	ARIMA model fitting metrics.
CArimaModelInfo	Arima model information.
CArimaOrder	Arima order, can be used for both non-seasonal and seasonal parts.
CArimaResult	(Auto-)arima fitting result. Wrap everything in ArimaResult for easier refactoring if we want to use model-specific iteration results.
CBigQueryModelTraining
CBigtableColumn
CBigtableColumnFamily
CBigtableOptions
CBinaryClassificationMetrics	Evaluation metrics for binary classification/classifier models.
CBinaryConfusionMatrix	Confusion matrix for binary classification models.
CBqmlIterationResult
►CBqmlTrainingRun
CTrainingOptionsData	[Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
CCategoricalValue	Representative value of a categorical feature.
CCategoryCount	Represents the count of a single category within the cluster.
CCluster	Message containing the information about one cluster.
CClusterInfo	Information about a single cluster for clustering model.
CClustering
CClusteringMetrics	Evaluation metrics for clustering models.
CConfusionMatrix	Confusion matrix for multi-class classification models.
CCsvOptions
►CDataset
CAccessData
►CDatasetList
CDatasetsData
CDatasetReference
CDataSplitResult	Data split result. This contains references to the training and evaluation data tables that were used to train the model.
CDestinationTableProperties
CEncryptionConfiguration
CEntry	A single entry in the confusion matrix.
CErrorProto
CEvaluationMetrics	Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models.
CExplainQueryStage
CExplainQueryStep
CExternalDataConfiguration
CFeatureValue	Representative value of a single feature within the cluster.
CGetQueryResultsResponse
CGetServiceAccountResponse
CGoogleSheetsOptions
CHivePartitioningOptions
CIterationResult	Information about a single iteration of the training run.
CJob
CJobCancelResponse
CJobConfiguration
CJobConfigurationExtract
CJobConfigurationLoad
CJobConfigurationQuery
CJobConfigurationTableCopy
►CJobList
CJobsData
CJobReference
►CJobStatistics
CReservationUsageData
►CJobStatistics2
CReservationUsageData
CJobStatistics3
CJobStatistics4
CJobStatus
CListModelsResponse
CListRoutinesResponse
CLocationMetadata	BigQuery-specific metadata about a location. This will be set on google.cloud.location.Location.metadata in Cloud Location API responses.
CMaterializedViewDefinition
CModel
►CModelDefinition
CModelOptionsData	[Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
CModelReference
CMultiClassClassificationMetrics	Evaluation metrics for multi-class classification/classifier models.
►CProjectList
CProjectsData
CProjectReference
CQueryParameter
►CQueryParameterType
CStructTypesData
CQueryParameterValue
CQueryRequest
CQueryResponse
CQueryTimelineSample
►CRangePartitioning
CRangeData	[TrustedTester] [Required] Defines the ranges for range partitioning.
CRegressionMetrics	Evaluation metrics for regression and explicit feedback type matrix factorization models.
CRoutine	A user-defined function or a stored procedure.
CRoutineReference
CRow	A single row in the confusion matrix.
CScriptStackFrame
CScriptStatistics
CStandardSqlDataType	The type of a variable, e.g., a function argument. Examples: INT64: {type_kind="INT64"} ARRAY: {type_kind="ARRAY", array_element_type="STRING"} STRUCT>: {type_kind="STRUCT", struct_type={fields=[ {name="x", type={type_kind="STRING"}}, {name="y", type={type_kind="ARRAY", array_element_type="DATE"}} ]}}
CStandardSqlField	A field or a column.
CStandardSqlStructType
CStreamingbuffer
CTable
CTableCell
►CTableDataInsertAllRequest
CRowsData
►CTableDataInsertAllResponse
CInsertErrorsData
CTableDataList
►CTableFieldSchema
CCategoriesData	[Optional] The categories attached to this field, used for field-level access control.
CPolicyTagsData
►CTableList
►CTablesData
CViewData	Additional details for a view.
CTableReference
CTableRow
CTableSchema
CTimePartitioning
CTrainingOptions
CTrainingRun	Information about a single training query run for the model.
CUserDefinedFunctionResource
CViewDefinition
CBigqueryBaseServiceRequest	A base abstract class for Bigquery requests.
CBigqueryService	The Bigquery Service.
►CDatasetsResource	The "datasets" collection of methods.
CDeleteRequest	Deletes the dataset specified by the datasetId value. Before you can delete a dataset, you must delete all its tables, either manually or by specifying deleteContents. Immediately after deletion, you can create another dataset with the same name.
CGetRequest	Returns the dataset specified by datasetID.
CInsertRequest	Creates a new empty dataset.
CListRequest	Lists all datasets in the specified project to which you have been granted the READER dataset role.
CPatchRequest	Updates information in an existing dataset. The update method replaces the entire dataset resource, whereas the patch method only replaces fields that are provided in the submitted dataset resource. This method supports patch semantics.
CUpdateRequest	Updates information in an existing dataset. The update method replaces the entire dataset resource, whereas the patch method only replaces fields that are provided in the submitted dataset resource.
►CJobsResource	The "jobs" collection of methods.
CCancelRequest	Requests that a job be cancelled. This call will return immediately, and the client will need to poll for the job status to see if the cancel completed successfully. Cancelled jobs may still incur costs.
CGetQueryResultsRequest	Retrieves the results of a query job.
CGetRequest	Returns information about a specific job. Job information is available for a six month period after creation. Requires that you're the person who ran the job, or have the Is Owner project role.
CInsertMediaUpload	Insert media upload which supports resumable upload.
CInsertRequest	Starts a new asynchronous job. Requires the Can View project role.
CListRequest	Lists all jobs that you started in the specified project. Job information is available for a six month period after creation. The job list is sorted in reverse chronological order, by job creation time. Requires the Can View project role, or the Is Owner project role if you set the allUsers property.
CQueryRequest	Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.
►CModelsResource	The "models" collection of methods.
CDeleteRequest	Deletes the model specified by modelId from the dataset.
CGetRequest	Gets the specified model resource by model ID.
CListRequest	Lists all models in the specified dataset. Requires the READER dataset role.
CPatchRequest	Patch specific fields in the specified model.
►CProjectsResource	The "projects" collection of methods.
CGetServiceAccountRequest	Returns the email address of the service account for your project used for interactions with Google Cloud KMS.
CListRequest	Lists all projects to which you have been granted any project role.
►CRoutinesResource	The "routines" collection of methods.
CDeleteRequest	Deletes the routine specified by routineId from the dataset.
CGetRequest	Gets the specified routine resource by routine ID.
CInsertRequest	Creates a new routine in the dataset.
CListRequest	Lists all routines in the specified dataset. Requires the READER dataset role.
CUpdateRequest	Updates information in an existing routine. The update method replaces the entire Routine resource.
►CTabledataResource	The "tabledata" collection of methods.
CInsertAllRequest	Streams data into BigQuery one record at a time without needing to run a load job. Requires the WRITER dataset role.
CListRequest	Retrieves table data from a specified set of rows. Requires the READER dataset role.
►CTablesResource	The "tables" collection of methods.
CDeleteRequest	Deletes the table specified by tableId from the dataset. If the table contains data, all the data will be deleted.
CGetRequest	Gets the specified table resource by table ID. This method does not return the data in the table, it only returns the table resource, which describes the structure of this table.
CInsertRequest	Creates a new, empty table in the dataset.
CListRequest	Lists all tables in the specified dataset. Requires the READER dataset role.
CPatchRequest	Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource. This method supports patch semantics.
CUpdateRequest	Updates information in an existing table. The update method replaces the entire table resource, whereas the patch method only replaces fields that are provided in the submitted table resource.