googleapis.bigquery.v2 library

Classes

AggregateClassificationMetrics
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.
Argument
Input/output argument of a function or a stored procedure.
BigqueryApi
A data platform for customers to create, manage, share and query data.
BigQueryModelTraining
BigtableColumn
BigtableColumnFamily
BigtableOptions
BinaryClassificationMetrics
Evaluation metrics for binary classification/classifier models.
BinaryConfusionMatrix
Confusion matrix for binary classification models.
BqmlIterationResult
BqmlTrainingRun
BqmlTrainingRunTrainingOptions
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.
ByteRange
Specifies a range of media.
ClusterInfo
Information about a single cluster for clustering model.
Clustering
ClusteringMetrics
Evaluation metrics for clustering models.
ConfusionMatrix
Confusion matrix for multi-class classification models.
CsvOptions
Dataset
DatasetAccess
DatasetList
DatasetListDatasets
DatasetReference
DatasetsResourceApi
DestinationTableProperties
DownloadOptions
Represents options for downloading media. [...]
EncryptionConfiguration
Entry
A single entry in the confusion matrix.
ErrorProto
EvaluationMetrics
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.
ExplainQueryStage
ExplainQueryStep
ExternalDataConfiguration
GetQueryResultsResponse
GetServiceAccountResponse
GoogleSheetsOptions
HivePartitioningOptions
IterationResult
Information about a single iteration of the training run.
Job
JobCancelResponse
JobConfiguration
JobConfigurationExtract
JobConfigurationLoad
JobConfigurationQuery
JobConfigurationTableCopy
JobList
JobListJobs
JobReference
JobsResourceApi
JobStatistics
JobStatistics2
JobStatistics2ReservationUsage
JobStatistics3
JobStatistics4
JobStatisticsReservationUsage
JobStatus
JsonObject
Represents a single JSON object.
ListModelsResponse
ListRoutinesResponse
LocationMetadata
BigQuery-specific metadata about a location. This will be set on google.cloud.location.Location.metadata in Cloud Location API responses.
MaterializedViewDefinition
Media
Represents a media consisting of a stream of bytes, a content type and a length.
Model
ModelDefinition
ModelDefinitionModelOptions
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.
ModelReference
Id path of a model.
ModelsResourceApi
MultiClassClassificationMetrics
Evaluation metrics for multi-class classification/classifier models.
PartialDownloadOptions
Options for downloading a Media.
ProjectList
ProjectListProjects
ProjectReference
ProjectsResourceApi
QueryParameter
QueryParameterType
QueryParameterTypeStructTypes
QueryParameterValue
QueryRequest
QueryResponse
QueryTimelineSample
RangePartitioning
RangePartitioningRange
TrustedTester Required Defines the ranges for range partitioning.
RegressionMetrics
Evaluation metrics for regression models.
ResumableUploadOptions
Specifies options for resumable uploads.
Routine
A user-defined function or a stored procedure.
RoutineReference
RoutinesResourceApi
Row
A single row in the confusion matrix.
StandardSqlDataType
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"}} }}
StandardSqlField
A field or a column.
StandardSqlStructType
Streamingbuffer
Table
TableCell
TableDataInsertAllRequest
TableDataInsertAllRequestRows
TableDataInsertAllResponse
TableDataInsertAllResponseInsertErrors
TableDataList
TabledataResourceApi
TableFieldSchema
TableFieldSchemaCategories
Optional The categories attached to this field, used for field-level access control.
TableList
TableListTables
TableListTablesView
Additional details for a view.
TableReference
TableRow
TableSchema
TablesResourceApi
TimePartitioning
TrainingOptions
TrainingRun
Information about a single training query run for the model.
UploadOptions
Represents options for uploading a Media.
UserDefinedFunctionResource
ViewDefinition

Constants

USER_AGENT → const String
'dart-api-client bigquery/v2'

Exceptions / Errors

ApiRequestError
Represents a general error reported by the API endpoint.
DetailedApiRequestError
Represents a specific error reported by the API endpoint.