BigQuery Client - Class Model (1.24.2)

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.

Methods

__construct

Parameters
Name	Description
`connection`	`Google\Cloud\BigQuery\Connection\ConnectionInterface` Represents a connection to BigQuery.
`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

Retrieves the model's details. If no model data is cached, a network request will be made to retrieve it.

Please note that Model instances created by list calls may not contain a full representation of the model resource. To obtain a full resource on a Model instance, call Google\Cloud\BigQuery\Model::reload().

Example:

$info = $model->info();
echo $info['modelType'];

Parameter
Name	Description
`options`	`array` [optional] Configuration options.

Returns
Type	Description
`array`

reload

Triggers a network request to reload the model's details.

Example:

$model->reload();
$info = $model->info();
echo $info['modelType'];

Parameter
Name	Description
`options`	`array` [optional] Configuration options.

Returns
Type	Description
`array`

id

Retrieves the model's ID.

Example:

 echo $model->id();

Returns
Type	Description
`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'];

Returns
Type	Description
`array`

delete

Delete the model.

Please note that by default the library will not attempt to retry this call on your behalf.

Example:

$model->delete();

Parameter
Name	Description
`options`	`array` [optional] Configuration options.

exists

Check whether or not the model exists.

Example:

echo $model->exists();

Parameter
Name	Description
`options`	`array` [optional] Configuration options.

Returns
Type	Description
`bool`

update

Update the model.

Providing an etag key as part of $metadata will enable simultaneous update protection. This is useful in preventing override of modifications made by another user. The resource's current etag can be obtained via a GET request on the resource.

Please note that by default this call will not automatically retry on your behalf unless an etag is set.

Example:

$model->update([
    'friendlyName' => 'My ML model'
]);

Parameters
Name	Description
`metadata`	`array` The available options for metadata are outlined at the Model Resource API docs
`options`	`array` [optional] Configuration options.

Returns
Type	Description
`array`

extract

Returns an extract job configuration to be passed to either BigQueryClient::runJob() or BigQueryClient::startJob(). A configuration can be built using fluent setters or by providing a full set of options at once.

Example:

$destinationObject = $storage->bucket('myBucket')->object('modelOutput');
$extractJobConfig = $model->extract($destinationObject);

Parameters
Name	Description
`destination`	`string\|Google\Cloud\Storage\StorageObject` The destination object. May be a {@see \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.

Returns
Type	Description
`Google\Cloud\BigQuery\ExtractJobConfiguration`