Reference documentation and code samples for the BigQuery Client class Model.
A BigQuery ML Model represents what an ML system has learned from the training data.
Namespace
Google \ Cloud \ BigQueryMethods
__construct
connection
Google\Cloud\BigQuery\Connection\ConnectionInterface
Represents a connection to BigQuery. This object is created by BigQueryClient, and should not be instantiated outside of this client.
id
string
The model's ID.
datasetId
string
The dataset's ID.
projectId
string
The project's ID.
info
array
[optional] The model data.
location
array
[optional] The location of the model.
info
See also:
options
array
[optional] Configuration options.
array
reload
See also:
options
array
[optional] Configuration options.
array
id
Retrieves the model's ID.
Example:
echo $model->id();
string
identity
Retrieves the model's identity.
An identity provides a description of a resource that is nested in nature.
Example:
echo $model->identity()['modelId'];
array
delete
See also:
options
array
[optional] Configuration options.
exists
Check whether or not the model exists.
Example:
echo $model->exists();
options
array
[optional] Configuration options.
bool
update
metadata
options
array
[optional] Configuration options.
array
extract
See also:
destination
string| Google\Cloud\Storage\StorageObject
The destination object. May be
a Google\Cloud\Storage\StorageObject
or a URI pointing to
a Google Cloud Storage object in the format of gs://{bucket-name}/{object-name}
.
options
array
[optional] Please see the upstream API documentation for Job configuration for the available options.
