Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::BatchPredictionJob (v0.27.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::BatchPredictionJob.

A job that uses a Model to produce predictions on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#completion_stats

def completion_stats() -> ::Google::Cloud::AIPlatform::V1::CompletionStats
Returns

#create_time

def create_time() -> ::Google::Protobuf::Timestamp
Returns

#dedicated_resources

def dedicated_resources() -> ::Google::Cloud::AIPlatform::V1::BatchDedicatedResources
Returns
  • (::Google::Cloud::AIPlatform::V1::BatchDedicatedResources) — The config of resources used by the Model during the batch prediction. If the Model supports DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.

#dedicated_resources=

def dedicated_resources=(value) -> ::Google::Cloud::AIPlatform::V1::BatchDedicatedResources
Parameter
  • value (::Google::Cloud::AIPlatform::V1::BatchDedicatedResources) — The config of resources used by the Model during the batch prediction. If the Model supports DEDICATED_RESOURCES this config may be provided (and the job will use these resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config must be provided.
Returns