diff --git a/google/cloud/bigquery_v2/types/encryption_config.py b/google/cloud/bigquery_v2/types/encryption_config.py index 4b9139733..a95954a30 100644 --- a/google/cloud/bigquery_v2/types/encryption_config.py +++ b/google/cloud/bigquery_v2/types/encryption_config.py @@ -25,6 +25,7 @@ class EncryptionConfiguration(proto.Message): r""" + Attributes: kms_key_name (google.protobuf.wrappers_pb2.StringValue): Optional. Describes the Cloud KMS encryption diff --git a/google/cloud/bigquery_v2/types/model.py b/google/cloud/bigquery_v2/types/model.py index 706418401..6e3ca0095 100644 --- a/google/cloud/bigquery_v2/types/model.py +++ b/google/cloud/bigquery_v2/types/model.py @@ -38,6 +38,7 @@ class Model(proto.Message): r""" + Attributes: etag (str): Output only. A hash of this resource. @@ -251,7 +252,8 @@ class FeedbackType(proto.Enum): EXPLICIT = 2 class SeasonalPeriod(proto.Message): - r""" """ + r""" + """ class SeasonalPeriodType(proto.Enum): r"""""" @@ -264,7 +266,8 @@ class SeasonalPeriodType(proto.Enum): YEARLY = 6 class KmeansEnums(proto.Message): - r""" """ + r""" + """ class KmeansInitializationMethod(proto.Enum): r"""Indicates the method used to initialize the centroids for @@ -386,6 +389,7 @@ class BinaryClassificationMetrics(proto.Message): class BinaryConfusionMatrix(proto.Message): r"""Confusion matrix for binary classification models. + Attributes: positive_class_threshold (google.protobuf.wrappers_pb2.DoubleValue): Threshold value used when computing each of @@ -464,6 +468,7 @@ class MultiClassClassificationMetrics(proto.Message): class ConfusionMatrix(proto.Message): r"""Confusion matrix for multi-class classification models. + Attributes: confidence_threshold (google.protobuf.wrappers_pb2.DoubleValue): Confidence threshold used when computing the @@ -474,6 +479,7 @@ class ConfusionMatrix(proto.Message): class Entry(proto.Message): r"""A single entry in the confusion matrix. + Attributes: predicted_label (str): The predicted label. For confidence_threshold > 0, we will @@ -491,6 +497,7 @@ class Entry(proto.Message): class Row(proto.Message): r"""A single row in the confusion matrix. + Attributes: actual_label (str): The original label of this row. @@ -525,6 +532,7 @@ class Row(proto.Message): class ClusteringMetrics(proto.Message): r"""Evaluation metrics for clustering models. + Attributes: davies_bouldin_index (google.protobuf.wrappers_pb2.DoubleValue): Davies-Bouldin index. @@ -537,6 +545,7 @@ class ClusteringMetrics(proto.Message): class Cluster(proto.Message): r"""Message containing the information about one cluster. + Attributes: centroid_id (int): Centroid id. @@ -550,6 +559,7 @@ class Cluster(proto.Message): class FeatureValue(proto.Message): r"""Representative value of a single feature within the cluster. + Attributes: feature_column (str): The feature column name. @@ -562,6 +572,7 @@ class FeatureValue(proto.Message): class CategoricalValue(proto.Message): r"""Representative value of a categorical feature. + Attributes: category_counts (Sequence[google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.CategoryCount]): Counts of all categories for the categorical feature. If @@ -573,6 +584,7 @@ class CategoricalValue(proto.Message): class CategoryCount(proto.Message): r"""Represents the count of a single category within the cluster. + Attributes: category (str): The name of category. @@ -668,6 +680,7 @@ class RankingMetrics(proto.Message): class ArimaForecastingMetrics(proto.Message): r"""Model evaluation metrics for ARIMA forecasting models. + Attributes: non_seasonal_order (Sequence[google.cloud.bigquery_v2.types.Model.ArimaOrder]): Non-seasonal order. @@ -857,6 +870,7 @@ class ArimaOrder(proto.Message): class ArimaFittingMetrics(proto.Message): r"""ARIMA model fitting metrics. + Attributes: log_likelihood (float): Log-likelihood. @@ -888,6 +902,7 @@ class GlobalExplanation(proto.Message): class Explanation(proto.Message): r"""Explanation for a single feature. + Attributes: feature_name (str): Full name of the feature. For non-numerical features, will @@ -910,6 +925,7 @@ class Explanation(proto.Message): class TrainingRun(proto.Message): r"""Information about a single training query run for the model. + Attributes: training_options (google.cloud.bigquery_v2.types.Model.TrainingRun.TrainingOptions): Options that were used for this training run, @@ -935,6 +951,7 @@ class TrainingRun(proto.Message): class TrainingOptions(proto.Message): r"""Options used in model training. + Attributes: max_iterations (int): The maximum number of iterations in training. @@ -1182,6 +1199,7 @@ class TrainingOptions(proto.Message): class IterationResult(proto.Message): r"""Information about a single iteration of the training run. + Attributes: index (google.protobuf.wrappers_pb2.Int32Value): Index of the iteration, 0 based. @@ -1205,6 +1223,7 @@ class IterationResult(proto.Message): class ClusterInfo(proto.Message): r"""Information about a single cluster for clustering model. + Attributes: centroid_id (int): Centroid id. @@ -1241,6 +1260,7 @@ class ArimaResult(proto.Message): class ArimaCoefficients(proto.Message): r"""Arima coefficients. + Attributes: auto_regressive_coefficients (Sequence[float]): Auto-regressive coefficients, an array of @@ -1263,6 +1283,7 @@ class ArimaCoefficients(proto.Message): class ArimaModelInfo(proto.Message): r"""Arima model information. + Attributes: non_seasonal_order (google.cloud.bigquery_v2.types.Model.ArimaOrder): Non-seasonal order. @@ -1409,6 +1430,7 @@ class ArimaModelInfo(proto.Message): class GetModelRequest(proto.Message): r""" + Attributes: project_id (str): Required. Project ID of the requested model. @@ -1425,6 +1447,7 @@ class GetModelRequest(proto.Message): class PatchModelRequest(proto.Message): r""" + Attributes: project_id (str): Required. Project ID of the model to patch. @@ -1447,6 +1470,7 @@ class PatchModelRequest(proto.Message): class DeleteModelRequest(proto.Message): r""" + Attributes: project_id (str): Required. Project ID of the model to delete. @@ -1463,6 +1487,7 @@ class DeleteModelRequest(proto.Message): class ListModelsRequest(proto.Message): r""" + Attributes: project_id (str): Required. Project ID of the models to list. @@ -1487,6 +1512,7 @@ class ListModelsRequest(proto.Message): class ListModelsResponse(proto.Message): r""" + Attributes: models (Sequence[google.cloud.bigquery_v2.types.Model]): Models in the requested dataset. Only the following fields diff --git a/google/cloud/bigquery_v2/types/model_reference.py b/google/cloud/bigquery_v2/types/model_reference.py index a9ebad613..544377f61 100644 --- a/google/cloud/bigquery_v2/types/model_reference.py +++ b/google/cloud/bigquery_v2/types/model_reference.py @@ -23,6 +23,7 @@ class ModelReference(proto.Message): r"""Id path of a model. + Attributes: project_id (str): Required. The ID of the project containing diff --git a/google/cloud/bigquery_v2/types/standard_sql.py b/google/cloud/bigquery_v2/types/standard_sql.py index 7a845fc48..69a221c3c 100644 --- a/google/cloud/bigquery_v2/types/standard_sql.py +++ b/google/cloud/bigquery_v2/types/standard_sql.py @@ -78,6 +78,7 @@ class TypeKind(proto.Enum): class StandardSqlField(proto.Message): r"""A field or a column. + Attributes: name (str): Optional. The name of this field. Can be @@ -96,6 +97,7 @@ class StandardSqlField(proto.Message): class StandardSqlStructType(proto.Message): r""" + Attributes: fields (Sequence[google.cloud.bigquery_v2.types.StandardSqlField]): @@ -106,6 +108,7 @@ class StandardSqlStructType(proto.Message): class StandardSqlTableType(proto.Message): r"""A table type + Attributes: columns (Sequence[google.cloud.bigquery_v2.types.StandardSqlField]): The columns in this table type diff --git a/google/cloud/bigquery_v2/types/table_reference.py b/google/cloud/bigquery_v2/types/table_reference.py index d56e5b09f..da206b4d7 100644 --- a/google/cloud/bigquery_v2/types/table_reference.py +++ b/google/cloud/bigquery_v2/types/table_reference.py @@ -23,6 +23,7 @@ class TableReference(proto.Message): r""" + Attributes: project_id (str): Required. The ID of the project containing