Reference documentation and code samples for the Cloud AutoML V1 Client class PredictionServiceClient.
Service Description: AutoML Prediction API.
On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:
$predictionServiceClient = new Google\Cloud\AutoMl\V1\PredictionServiceClient();
try {
$formattedName = $predictionServiceClient->modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
$inputConfig = new Google\Cloud\AutoMl\V1\BatchPredictInputConfig();
$outputConfig = new Google\Cloud\AutoMl\V1\BatchPredictOutputConfig();
$operationResponse = $predictionServiceClient->batchPredict($formattedName, $inputConfig, $outputConfig);
$operationResponse->pollUntilComplete();
if ($operationResponse->operationSucceeded()) {
$result = $operationResponse->getResult();
// doSomethingWith($result)
} else {
$error = $operationResponse->getError();
// handleError($error)
}
// Alternatively:
// start the operation, keep the operation name, and resume later
$operationResponse = $predictionServiceClient->batchPredict($formattedName, $inputConfig, $outputConfig);
$operationName = $operationResponse->getName();
// ... do other work
$newOperationResponse = $predictionServiceClient->resumeOperation($operationName, 'batchPredict');
while (!$newOperationResponse->isDone()) {
// ... do other work
$newOperationResponse->reload();
}
if ($newOperationResponse->operationSucceeded()) {
$result = $newOperationResponse->getResult();
// doSomethingWith($result)
} else {
$error = $newOperationResponse->getError();
// handleError($error)
}
} finally {
$predictionServiceClient->close();
}
Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parseName method to extract the individual identifiers contained within formatted names that are returned by the API.
This service has a new (beta) implementation. See Google\Cloud\AutoMl\V1\Client\PredictionServiceClient to use the new surface.
Namespace
Google \ Cloud \ AutoMl \ V1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
options |
array
Optional. Options for configuring the service API wrapper. |
↳ apiEndpoint |
string
The address of the API remote host. May optionally include the port, formatted as "
|
↳ credentials |
string|array|FetchAuthTokenInterface|CredentialsWrapper
The credentials to be used by the client to authorize API calls. This option accepts either a path to a credentials file, or a decoded credentials file as a PHP array. Advanced usage: In addition, this option can also accept a pre-constructed Google\Auth\FetchAuthTokenInterface object or Google\ApiCore\CredentialsWrapper object. Note that when one of these objects are provided, any settings in $credentialsConfig will be ignored. |
↳ credentialsConfig |
array
Options used to configure credentials, including auth token caching, for the client. For a full list of supporting configuration options, see Google\ApiCore\CredentialsWrapper::build() . |
↳ disableRetries |
bool
Determines whether or not retries defined by the client configuration should be disabled. Defaults to |
↳ clientConfig |
string|array
Client method configuration, including retry settings. This option can be either a path to a JSON file, or a PHP array containing the decoded JSON data. By default this settings points to the default client config file, which is provided in the resources folder. |
↳ transport |
string|TransportInterface
The transport used for executing network requests. May be either the string |
↳ transportConfig |
array
Configuration options that will be used to construct the transport. Options for each supported transport type should be passed in a key for that transport. For example: $transportConfig = [ 'grpc' => [...], 'rest' => [...], ]; See the Google\ApiCore\Transport\GrpcTransport::build() and Google\ApiCore\Transport\RestTransport::build() methods for the supported options. |
↳ clientCertSource |
callable
A callable which returns the client cert as a string. This can be used to provide a certificate and private key to the transport layer for mTLS. |
batchPredict
Perform a batch prediction. Unlike the online Predict, batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via GetOperation method. Once the operation is done, BatchPredictResult is returned in the response field.
Available for following ML scenarios:
- AutoML Vision Classification
- AutoML Vision Object Detection
- AutoML Video Intelligence Classification
- AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
- AutoML Natural Language Entity Extraction
- AutoML Natural Language Sentiment Analysis
- AutoML Tables
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. Name of the model requested to serve the batch prediction. |
inputConfig |
Google\Cloud\AutoMl\V1\BatchPredictInputConfig
Required. The input configuration for batch prediction. |
outputConfig |
Google\Cloud\AutoMl\V1\BatchPredictOutputConfig
Required. The Configuration specifying where output predictions should be written. |
optionalArgs |
array
Optional. |
↳ params |
array
Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long. AutoML Natural Language Classification |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
| Returns | |
|---|---|
| Type | Description |
Google\ApiCore\OperationResponse | |
use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\AutoMl\V1\BatchPredictInputConfig;
use Google\Cloud\AutoMl\V1\BatchPredictOutputConfig;
use Google\Cloud\AutoMl\V1\BatchPredictResult;
use Google\Cloud\AutoMl\V1\GcsDestination;
use Google\Cloud\AutoMl\V1\GcsSource;
use Google\Cloud\AutoMl\V1\PredictionServiceClient;
use Google\Rpc\Status;
/**
* @param string $formattedName Name of the model requested to serve the batch prediction. Please see
* {@see PredictionServiceClient::modelName()} for help formatting this field.
* @param string $inputConfigGcsSourceInputUrisElement Google Cloud Storage URIs to input files, up to 2000
* characters long. Accepted forms:
* * Full object path, e.g. gs://bucket/directory/object.csv
* @param string $outputConfigGcsDestinationOutputUriPrefix Google Cloud Storage URI to output directory, up to 2000
* characters long.
* Accepted forms:
* * Prefix path: gs://bucket/directory
* The requesting user must have write permission to the bucket.
* The directory is created if it doesn't exist.
*/
function batch_predict_sample(
string $formattedName,
string $inputConfigGcsSourceInputUrisElement,
string $outputConfigGcsDestinationOutputUriPrefix
): void {
// Create a client.
$predictionServiceClient = new PredictionServiceClient();
// Prepare any non-scalar elements to be passed along with the request.
$inputConfigGcsSourceInputUris = [$inputConfigGcsSourceInputUrisElement,];
$inputConfigGcsSource = (new GcsSource())
->setInputUris($inputConfigGcsSourceInputUris);
$inputConfig = (new BatchPredictInputConfig())
->setGcsSource($inputConfigGcsSource);
$outputConfigGcsDestination = (new GcsDestination())
->setOutputUriPrefix($outputConfigGcsDestinationOutputUriPrefix);
$outputConfig = (new BatchPredictOutputConfig())
->setGcsDestination($outputConfigGcsDestination);
// Call the API and handle any network failures.
try {
/** @var OperationResponse $response */
$response = $predictionServiceClient->batchPredict($formattedName, $inputConfig, $outputConfig);
$response->pollUntilComplete();
if ($response->operationSucceeded()) {
/** @var BatchPredictResult $result */
$result = $response->getResult();
printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
} else {
/** @var Status $error */
$error = $response->getError();
printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
}
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* Helper to execute the sample.
*
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = PredictionServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
$inputConfigGcsSourceInputUrisElement = '[INPUT_URIS]';
$outputConfigGcsDestinationOutputUriPrefix = '[OUTPUT_URI_PREFIX]';
batch_predict_sample(
$formattedName,
$inputConfigGcsSourceInputUrisElement,
$outputConfigGcsDestinationOutputUriPrefix
);
}
predict
Perform an online prediction. The prediction result is directly returned in the response.
Available for following ML scenarios, and their expected request payloads:
AutoML Vision Classification
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Vision Object Detection
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Natural Language Classification
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Natural Language Entity Extraction
- A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.
AutoML Natural Language Sentiment Analysis
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Translation
- A TextSnippet up to 25,000 characters, UTF-8 encoded.
AutoML Tables
- A row with column values matching
the columns of the model, up to 5MB. Not available for FORECASTING
prediction_type.
| Parameters | |
|---|---|
| Name | Description |
name |
string
Required. Name of the model requested to serve the prediction. |
payload |
Google\Cloud\AutoMl\V1\ExamplePayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve. |
optionalArgs |
array
Optional. |
↳ params |
array
Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification |
↳ retrySettings |
RetrySettings|array
Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage. |
| Returns | |
|---|---|
| Type | Description |
Google\Cloud\AutoMl\V1\PredictResponse | |
use Google\ApiCore\ApiException;
use Google\Cloud\AutoMl\V1\ExamplePayload;
use Google\Cloud\AutoMl\V1\PredictResponse;
use Google\Cloud\AutoMl\V1\PredictionServiceClient;
/**
* @param string $formattedName Name of the model requested to serve the prediction. Please see
* {@see PredictionServiceClient::modelName()} for help formatting this field.
*/
function predict_sample(string $formattedName): void
{
// Create a client.
$predictionServiceClient = new PredictionServiceClient();
// Prepare any non-scalar elements to be passed along with the request.
$payload = new ExamplePayload();
// Call the API and handle any network failures.
try {
/** @var PredictResponse $response */
$response = $predictionServiceClient->predict($formattedName, $payload);
printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
} catch (ApiException $ex) {
printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
}
}
/**
* Helper to execute the sample.
*
* This sample has been automatically generated and should be regarded as a code
* template only. It will require modifications to work:
* - It may require correct/in-range values for request initialization.
* - It may require specifying regional endpoints when creating the service client,
* please see the apiEndpoint client configuration option for more details.
*/
function callSample(): void
{
$formattedName = PredictionServiceClient::modelName('[PROJECT]', '[LOCATION]', '[MODEL]');
predict_sample($formattedName);
}
getOperationsClient
Return an OperationsClient object with the same endpoint as $this.
| Returns | |
|---|---|
| Type | Description |
Google\ApiCore\LongRunning\OperationsClient | |
resumeOperation
Resume an existing long running operation that was previously started by a long running API method. If $methodName is not provided, or does not match a long running API method, then the operation can still be resumed, but the OperationResponse object will not deserialize the final response.
| Parameters | |
|---|---|
| Name | Description |
operationName |
string
The name of the long running operation |
methodName |
string
The name of the method used to start the operation |
| Returns | |
|---|---|
| Type | Description |
Google\ApiCore\OperationResponse | |
static::modelName
Formats a string containing the fully-qualified path to represent a model resource.
| Parameters | |
|---|---|
| Name | Description |
project |
string
|
location |
string
|
model |
string
|
| Returns | |
|---|---|
| Type | Description |
string | The formatted model resource. |
static::parseName
Parses a formatted name string and returns an associative array of the components in the name.
The following name formats are supported: Template: Pattern
- model: projects/{project}/locations/{location}/models/{model}
The optional $template argument can be supplied to specify a particular pattern, and must match one of the templates listed above. If no $template argument is provided, or if the $template argument does not match one of the templates listed, then parseName will check each of the supported templates, and return the first match.
| Parameters | |
|---|---|
| Name | Description |
formattedName |
string
The formatted name string |
template |
string
Optional name of template to match |
| Returns | |
|---|---|
| Type | Description |
array | An associative array from name component IDs to component values. |
Constants
SERVICE_NAME
Value: 'google.cloud.automl.v1.PredictionService'The name of the service.
SERVICE_ADDRESS
Value: 'automl.googleapis.com'The default address of the service.
DEFAULT_SERVICE_PORT
Value: 443The default port of the service.
CODEGEN_NAME
Value: 'gapic'The name of the code generator, to be included in the agent header.