pulumi-google-native-kotlin/com.pulumi.googlenative.ml.v1.kotlin.outputs/GoogleCloudMlV1__PredictionInputResponse

GoogleCloudMlV1__PredictionInputResponse

data class GoogleCloudMlV1__PredictionInputResponse(val batchSize: String, val dataFormat: String, val inputPaths: List<String>, val maxWorkerCount: String, val modelName: String, val outputDataFormat: String, val outputPath: String, val region: String, val runtimeVersion: String, val signatureName: String, val uri: String, val versionName: String)

Represents input parameters for a prediction job.

Constructors

constructor(batchSize: String, dataFormat: String, inputPaths: List<String>, maxWorkerCount: String, modelName: String, outputDataFormat: String, outputPath: String, region: String, runtimeVersion: String, signatureName: String, uri: String, versionName: String)

Types

Companion

object Companion

Properties

batchSize

val batchSize: String

Optional. Number of records per batch, defaults to 64. The service will buffer batch_size number of records in memory before invoking one Tensorflow prediction call internally. So take the record size and memory available into consideration when setting this parameter.

dataFormat

val dataFormat: String

The format of the input data files.

inputPaths

val inputPaths: List<String>

The Cloud Storage location of the input data files. May contain wildcards.

maxWorkerCount

val maxWorkerCount: String

Optional. The maximum number of workers to be used for parallel processing. Defaults to 10 if not specified.

modelName

val modelName: String

Use this field if you want to use the default version for the specified model. The string must use the following format: "projects/YOUR_PROJECT/models/YOUR_MODEL"

outputDataFormat

val outputDataFormat: String

Optional. Format of the output data files, defaults to JSON.

outputPath

val outputPath: String

The output Google Cloud Storage location.

region

val region: String

The Google Compute Engine region to run the prediction job in. See the available regions for AI Platform services.

runtimeVersion

val runtimeVersion: String

Optional. The AI Platform runtime version to use for this batch prediction. If not set, AI Platform will pick the runtime version used during the CreateVersion request for this model version, or choose the latest stable version when model version information is not available such as when the model is specified by uri.

signatureName

val signatureName: String

Optional. The name of the signature defined in the SavedModel to use for this job. Please refer to SavedModel for information about how to use signatures. Defaults to DEFAULT_SERVING_SIGNATURE_DEF_KEY , which is "serving_default".

uri

val uri: String

Use this field if you want to specify a Google Cloud Storage path for the model to use.

versionName

val versionName: String

Use this field if you want to specify a version of the model to use. The string is formatted the same way as model_version, with the addition of the version information: "projects/YOUR_PROJECT/models/YOUR_MODEL/versions/YOUR_VERSION"