As of January 1, 2020 this library no longer supports Python 2 on the latest released version.
Library versions released prior to that date will continue to be available. For more information please
visit
Python 2 support on Google Cloud.
Enums for BigQuery API Client
-
class
google.cloud.bigquery_v2.gapic.enums.Model[source]
-
class
DataSplitMethod(value)[source]
Indicates the method to split input data into multiple tables.
-
DATA_SPLIT_METHOD_UNSPECIFIED
- Type
int
-
RANDOM
Splits data randomly.
- Type
int
-
CUSTOM
Splits data with the user provided tags.
- Type
int
-
SEQUENTIAL
Splits data sequentially.
- Type
int
-
NO_SPLIT
Data split will be skipped.
- Type
int
-
AUTO_SPLIT
Splits data automatically: Uses NO_SPLIT if the data size is small.
- Type
int
-
Otherwise uses RANDOM.
-
class
DistanceType(value)[source]
Distance metric used to compute the distance between two points.
-
DISTANCE_TYPE_UNSPECIFIED
- Type
int
-
EUCLIDEAN
Eculidean distance.
- Type
int
-
COSINE
Cosine distance.
- Type
int
-
class
LearnRateStrategy(value)[source]
Indicates the learning rate optimization strategy to use.
-
LEARN_RATE_STRATEGY_UNSPECIFIED
- Type
int
-
LINE_SEARCH
Use line search to determine learning rate.
- Type
int
-
CONSTANT
Use a constant learning rate.
- Type
int
-
class
LossType(value)[source]
Loss metric to evaluate model training performance.
-
LOSS_TYPE_UNSPECIFIED
- Type
int
-
MEAN_SQUARED_LOSS
Mean squared loss, used for linear regression.
- Type
int
-
MEAN_LOG_LOSS
Mean log loss, used for logistic regression.
- Type
int
-
class
ModelType(value)[source]
Indicates the type of the Model.
-
MODEL_TYPE_UNSPECIFIED
- Type
int
-
LINEAR_REGRESSION
Linear regression model.
- Type
int
-
LOGISTIC_REGRESSION
Logistic regression based classification model.
- Type
int
-
KMEANS
K-means clustering model.
- Type
int
-
TENSORFLOW
[Beta] An imported TensorFlow model.
- Type
int
-
class
OptimizationStrategy(value)[source]
Indicates the optimization strategy used for training.
-
OPTIMIZATION_STRATEGY_UNSPECIFIED
- Type
int
-
BATCH_GRADIENT_DESCENT
Uses an iterative batch gradient descent algorithm.
- Type
int
-
NORMAL_EQUATION
Uses a normal equation to solve linear regression problem.
- Type
int
-
class
google.cloud.bigquery_v2.gapic.enums.StandardSqlDataType[source]
-
class
TypeKind(value)[source]
-
TYPE_KIND_UNSPECIFIED
Invalid type.
- Type
int
-
INT64
Encoded as a string in decimal format.
- Type
int
-
BOOL
Encoded as a boolean “false” or “true”.
- Type
int
-
FLOAT64
Encoded as a number, or string “NaN”, “Infinity” or “-Infinity”.
- Type
int
-
STRING
Encoded as a string value.
- Type
int
-
BYTES
Encoded as a base64 string per RFC 4648, section 4.
- Type
int
-
TIMESTAMP
Encoded as an RFC 3339 timestamp with mandatory “Z” time zone string:
- Type
int
-
1985-04-12T23
20:50.52Z
-
DATE
Encoded as RFC 3339 full-date format string: 1985-04-12
- Type
int
-
TIME
Encoded as RFC 3339 partial-time format string: 23:20:50.52
- Type
int
-
DATETIME
Encoded as RFC 3339 full-date “T” partial-time: 1985-04-12T23:20:50.52
- Type
int
-
GEOGRAPHY
Encoded as WKT
- Type
int
-
NUMERIC
Encoded as a decimal string.
- Type
int
-
ARRAY
Encoded as a list with types matching Type.array_type.
- Type
int
-
STRUCT
Encoded as a list with fields of type Type.struct_type[i]. List is
- Type
int
-
used because a JSON object cannot have duplicate field names.
