Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput Class Reference

Represents input parameters for a prediction job. More...

Inheritance diagram for Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput:

Properties
virtual System.Nullable< long >	BatchSize [get, set]
	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. More...
virtual string	DataFormat [get, set]
	Required. The format of the input data files. More...
virtual System.Collections.Generic.IList< string >	InputPaths [get, set]
	Required. The Cloud Storage location of the input data files. May contain wildcards. More...
virtual System.Nullable< long >	MaxWorkerCount [get, set]
	Optional. The maximum number of workers to be used for parallel processing. Defaults to 10 if not specified. More...
virtual string	ModelName [get, set]
	Use this field if you want to use the default version for the specified model. The string must use the following format: More...
virtual string	OutputDataFormat [get, set]
	Optional. Format of the output data files, defaults to JSON. More...
virtual string	OutputPath [get, set]
	Required. The output Google Cloud Storage location. More...
virtual string	Region [get, set]
	Required. The Google Compute Engine region to run the prediction job in. See the available regions for AI Platform services. More...
virtual string	RuntimeVersion [get, set]
	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. More...
virtual string	SignatureName [get, set]
	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. More...
virtual string	Uri [get, set]
	Use this field if you want to specify a Google Cloud Storage path for the model to use. More...
virtual string	VersionName [get, set]
	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: More...
virtual string	ETag [get, set]
	The ETag of the item. More...
Properties inherited from Google::Apis::Requests::IDirectResponseSchema
string	ETag

Detailed Description

Represents input parameters for a prediction job.

Property Documentation

BatchSize

virtual System.Nullable<long> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.BatchSize

getset

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

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.DataFormat

getset

Required. The format of the input data files.

ETag

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.ETag

getset

The ETag of the item.

InputPaths

virtual System.Collections.Generic.IList<string> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.InputPaths

getset

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

MaxWorkerCount

virtual System.Nullable<long> Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.MaxWorkerCount

getset

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

ModelName

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.ModelName

getset

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

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.OutputDataFormat

getset

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

OutputPath

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.OutputPath

getset

Required. The output Google Cloud Storage location.

Region

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.Region

getset

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

RuntimeVersion

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.RuntimeVersion

getset

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

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.SignatureName

getset

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

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.Uri

getset

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

VersionName

virtual string Google.Apis.CloudMachineLearningEngine.v1.Data.GoogleCloudMlV1PredictionInput.VersionName

getset

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"

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The documentation for this class was generated from the following file:

• Google.Apis.CloudMachineLearningEngine.v1.cs