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    Google Cloud Ai Platform V1 Client - Class PredictRequest (1.35.0)

    Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class PredictRequest.

    Request message for PredictionService.Predict .

    Generated from protobuf message google.cloud.aiplatform.v1.PredictRequest

    Namespace

    Google \ Cloud \ AIPlatform \ V1

    Methods

    __construct

    Constructor.

    Parameters
    Name
    Description
    data
    array

    Optional. Data for populating the Message object.

    ↳ endpoint
    string

    Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

    ↳ instances
    array< Google\Protobuf\Value >

    Required. The instances that are the input to the prediction call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri .

    ↳ parameters
    Google\Protobuf\Value

    The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri .

    getEndpoint

    Required. The name of the Endpoint requested to serve the prediction.

    Format: projects/{project}/locations/{location}/endpoints/{endpoint}

    Returns
    Type
    Description
    string

    setEndpoint

    Required. The name of the Endpoint requested to serve the prediction.

    Format: projects/{project}/locations/{location}/endpoints/{endpoint}

    Parameter
    Name
    Description
    var
    string
    Returns
    Type
    Description
    $this

    getInstances

    Required. The instances that are the input to the prediction call.

    A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri .

    Returns
    Type
    Description
    Google\Protobuf\Internal\RepeatedField

    setInstances

    Required. The instances that are the input to the prediction call.

    A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri .

    Parameter
    Name
    Description
    var
    array< Google\Protobuf\Value >
    Returns
    Type
    Description
    $this

    getParameters

    The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri .

    Returns
    Type
    Description
    Google\Protobuf\Value |null

    hasParameters

    clearParameters

    setParameters

    The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri .

    Parameter
    Name
    Description
    var
    Google\Protobuf\Value
    Returns
    Type
    Description
    $this

    static::build

    Parameters
    Name
    Description
    endpoint
    string

    Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint} Please see PredictionServiceClient::endpointName() for help formatting this field.

    instances
    array< Google\Protobuf\Value >

    Required. The instances that are the input to the prediction call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri .

    parameters
    Google\Protobuf\Value

    The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri .

    Returns
    Type
    Description
    PredictRequest
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