Class GoogleCloudMlV1PredictionInput

Represents input parameters for a prediction job.

Inheritance
object
GoogleCloudMlV1PredictionInput
Implements
Inherited Members
Namespace: Google.Apis.CloudMachineLearningEngine.v1.Data
Assembly: Google.Apis.CloudMachineLearningEngine.v1.dll
Syntax
public class GoogleCloudMlV1PredictionInput : IDirectResponseSchema

Properties

BatchSize

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.

Declaration
[JsonProperty("batchSize")]
public virtual long? BatchSize { get; set; }
Property Value
Type Description
long?

DataFormat

Required. The format of the input data files.

Declaration
[JsonProperty("dataFormat")]
public virtual string DataFormat { get; set; }
Property Value
Type Description
string

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

InputPaths

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

Declaration
[JsonProperty("inputPaths")]
public virtual IList<string> InputPaths { get; set; }
Property Value
Type Description
IList<string>

MaxWorkerCount

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

Declaration
[JsonProperty("maxWorkerCount")]
public virtual long? MaxWorkerCount { get; set; }
Property Value
Type Description
long?

ModelName

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"

Declaration
[JsonProperty("modelName")]
public virtual string ModelName { get; set; }
Property Value
Type Description
string

OutputDataFormat

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

Declaration
[JsonProperty("outputDataFormat")]
public virtual string OutputDataFormat { get; set; }
Property Value
Type Description
string

OutputPath

Required. The output Google Cloud Storage location.

Declaration
[JsonProperty("outputPath")]
public virtual string OutputPath { get; set; }
Property Value
Type Description
string

Region

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

Declaration
[JsonProperty("region")]
public virtual string Region { get; set; }
Property Value
Type Description
string

RuntimeVersion

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.

Declaration
[JsonProperty("runtimeVersion")]
public virtual string RuntimeVersion { get; set; }
Property Value
Type Description
string

SignatureName

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".

Declaration
[JsonProperty("signatureName")]
public virtual string SignatureName { get; set; }
Property Value
Type Description
string

Uri

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

Declaration
[JsonProperty("uri")]
public virtual string Uri { get; set; }
Property Value
Type Description
string

VersionName

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"

Declaration
[JsonProperty("versionName")]
public virtual string VersionName { get; set; }
Property Value
Type Description
string

Implements