Google Cloud Ai Platform V1 Client - Class BatchPredictionJob (0.13.0)

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

A job that uses a Model to produce predictions on multiple input instances. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

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

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ name`	`string` Output only. Resource name of the BatchPredictionJob.
`↳ display_name`	`string` Required. The user-defined name of this BatchPredictionJob.
`↳ model`	`string` The name of the Model resource that produces the predictions via this job, must share the same ancestor Location. Starting this job has no impact on any existing deployments of the Model and their resources. Exactly one of model and unmanaged_container_model must be set. The model resource name may contain version id or version alias to specify the version. Example: `projects/{project}/locations/{location}/models/{model}@2` or `projects/{project}/locations/{location}/models/{model}@golden` if no version is specified, the default version will be deployed.
`↳ model_version_id`	`string` Output only. The version ID of the Model that produces the predictions via this job.
`↳ unmanaged_container_model`	`Google\Cloud\AIPlatform\V1\UnmanagedContainerModel` Contains model information necessary to perform batch prediction without requiring uploading to model registry. Exactly one of model and unmanaged_container_model must be set.
`↳ input_config`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\InputConfig` Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.
`↳ instance_config`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\InstanceConfig` Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.
`↳ model_parameters`	`Google\Protobuf\Value` The parameters that govern the predictions. The schema of the parameters may be specified via the Model's PredictSchemata's parameters_schema_uri.
`↳ output_config`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\OutputConfig` Required. The Configuration specifying where output predictions should be written. The schema of any single prediction may be specified as a concatenation of Model's PredictSchemata's instance_schema_uri and prediction_schema_uri.
`↳ dedicated_resources`	`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.
`↳ service_account`	`string` The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
`↳ manual_batch_tuning_parameters`	`Google\Cloud\AIPlatform\V1\ManualBatchTuningParameters` Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).
`↳ generate_explanation`	`bool` Generate explanation with the batch prediction results. When set to `true`, the batch prediction output changes based on the `predictions_format` field of the BatchPredictionJob.output_config object: * `bigquery`: output includes a column named `explanation`. The value is a struct that conforms to the Explanation object. * `jsonl`: The JSON objects on each line include an additional entry keyed `explanation`. The value of the entry is a JSON object that conforms to the Explanation object. * `csv`: Generating explanations for CSV format is not supported. If this field is set to true, either the Model.explanation_spec or explanation_spec must be populated.
`↳ explanation_spec`	`Google\Cloud\AIPlatform\V1\ExplanationSpec` Explanation configuration for this BatchPredictionJob. Can be specified only if generate_explanation is set to `true`. This value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of the explanation_spec object is not populated, the corresponding field of the Model.explanation_spec object is inherited.
`↳ output_info`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\OutputInfo` Output only. Information further describing the output of this job.
`↳ state`	`int` Output only. The detailed state of the job.
`↳ error`	`Google\Rpc\Status` Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
`↳ partial_failures`	`array<Google\Rpc\Status>` Output only. Partial failures encountered. For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.
`↳ resources_consumed`	`Google\Cloud\AIPlatform\V1\ResourcesConsumed` Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes. Note: This field currently may be not populated for batch predictions that use AutoML Models.
`↳ completion_stats`	`Google\Cloud\AIPlatform\V1\CompletionStats` Output only. Statistics on completed and failed prediction instances.
`↳ create_time`	`Google\Protobuf\Timestamp` Output only. Time when the BatchPredictionJob was created.
`↳ start_time`	`Google\Protobuf\Timestamp` Output only. Time when the BatchPredictionJob for the first time entered the `JOB_STATE_RUNNING` state.
`↳ end_time`	`Google\Protobuf\Timestamp` Output only. Time when the BatchPredictionJob entered any of the following states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
`↳ update_time`	`Google\Protobuf\Timestamp` Output only. Time when the BatchPredictionJob was most recently updated.
`↳ labels`	`array\|Google\Protobuf\Internal\MapField` The labels with user-defined metadata to organize BatchPredictionJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
`↳ encryption_spec`	`Google\Cloud\AIPlatform\V1\EncryptionSpec` Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.
`↳ disable_container_logging`	`bool` For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Stackdriver Logging by default. Please note that the logs incur cost, which are subject to Cloud Logging pricing. User can disable container logging by setting this flag to true.

getName

Output only. Resource name of the BatchPredictionJob.

Returns
Type	Description
`string`

setName

Output only. Resource name of the BatchPredictionJob.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getDisplayName

Required. The user-defined name of this BatchPredictionJob.

Returns
Type	Description
`string`

setDisplayName

Required. The user-defined name of this BatchPredictionJob.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getModel

The name of the Model resource that produces the predictions via this job, must share the same ancestor Location.

Starting this job has no impact on any existing deployments of the Model and their resources. Exactly one of model and unmanaged_container_model must be set. The model resource name may contain version id or version alias to specify the version. Example: projects/{project}/locations/{location}/models/{model}@2 or projects/{project}/locations/{location}/models/{model}@golden if no version is specified, the default version will be deployed.

Returns
Type	Description
`string`

setModel

The name of the Model resource that produces the predictions via this job, must share the same ancestor Location.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getModelVersionId

Output only. The version ID of the Model that produces the predictions via this job.

Returns
Type	Description
`string`

setModelVersionId

Output only. The version ID of the Model that produces the predictions via this job.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getUnmanagedContainerModel

Contains model information necessary to perform batch prediction without requiring uploading to model registry.

Exactly one of model and unmanaged_container_model must be set.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\UnmanagedContainerModel\|null`

hasUnmanagedContainerModel

clearUnmanagedContainerModel

setUnmanagedContainerModel

Contains model information necessary to perform batch prediction without requiring uploading to model registry.

Exactly one of model and unmanaged_container_model must be set.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\UnmanagedContainerModel`

Returns
Type	Description
`$this`

getInputConfig

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchPredictionJob\InputConfig\|null`

hasInputConfig

clearInputConfig

setInputConfig

Required. Input configuration of the instances on which predictions are performed. The schema of any single instance may be specified via the Model's PredictSchemata's instance_schema_uri.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\InputConfig`

Returns
Type	Description
`$this`

getInstanceConfig

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchPredictionJob\InstanceConfig\|null`

hasInstanceConfig

clearInstanceConfig

setInstanceConfig

Configuration for how to convert batch prediction input instances to the prediction instances that are sent to the Model.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\InstanceConfig`

Returns
Type	Description
`$this`

getModelParameters

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

Returns
Type	Description
`Google\Protobuf\Value\|null`

hasModelParameters

clearModelParameters

setModelParameters

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

Parameter
Name	Description
`var`	`Google\Protobuf\Value`

Returns
Type	Description
`$this`

getOutputConfig

Required. The Configuration specifying where output predictions should be written.

The schema of any single prediction may be specified as a concatenation of Model's PredictSchemata's instance_schema_uri and prediction_schema_uri.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchPredictionJob\OutputConfig\|null`

hasOutputConfig

clearOutputConfig

setOutputConfig

Required. The Configuration specifying where output predictions should be written.

The schema of any single prediction may be specified as a concatenation of Model's PredictSchemata's instance_schema_uri and prediction_schema_uri.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\OutputConfig`

Returns
Type	Description
`$this`

getDedicatedResources

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
Type	Description
`Google\Cloud\AIPlatform\V1\BatchDedicatedResources\|null`

hasDedicatedResources

clearDedicatedResources

setDedicatedResources

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\BatchDedicatedResources`

Returns
Type	Description
`$this`

getServiceAccount

The service account that the DeployedModel's container runs as. If not specified, a system generated one will be used, which has minimal permissions and the custom container, if used, may not have enough permission to access other Google Cloud resources.

Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

Returns
Type	Description
`string`

setServiceAccount

Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getManualBatchTuningParameters

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ManualBatchTuningParameters\|null`

hasManualBatchTuningParameters

clearManualBatchTuningParameters

setManualBatchTuningParameters

Immutable. Parameters configuring the batch behavior. Currently only applicable when dedicated_resources are used (in other cases Vertex AI does the tuning itself).

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\ManualBatchTuningParameters`

Returns
Type	Description
`$this`

getGenerateExplanation

Generate explanation with the batch prediction results.

When set to true, the batch prediction output changes based on the predictions_format field of the BatchPredictionJob.output_config object:

bigquery: output includes a column named explanation. The value is a struct that conforms to the Explanation object.
jsonl: The JSON objects on each line include an additional entry keyed explanation. The value of the entry is a JSON object that conforms to the Explanation object.
csv: Generating explanations for CSV format is not supported. If this field is set to true, either the Model.explanation_spec or explanation_spec must be populated.

Returns
Type	Description
`bool`

setGenerateExplanation

Generate explanation with the batch prediction results.

When set to true, the batch prediction output changes based on the predictions_format field of the BatchPredictionJob.output_config object:

bigquery: output includes a column named explanation. The value is a struct that conforms to the Explanation object.
jsonl: The JSON objects on each line include an additional entry keyed explanation. The value of the entry is a JSON object that conforms to the Explanation object.
csv: Generating explanations for CSV format is not supported. If this field is set to true, either the Model.explanation_spec or explanation_spec must be populated.

Parameter
Name	Description
`var`	`bool`

Returns
Type	Description
`$this`

getExplanationSpec

Explanation configuration for this BatchPredictionJob. Can be specified only if generate_explanation is set to true.

This value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of the explanation_spec object is not populated, the corresponding field of the Model.explanation_spec object is inherited.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ExplanationSpec\|null`

hasExplanationSpec

clearExplanationSpec

setExplanationSpec

Explanation configuration for this BatchPredictionJob. Can be specified only if generate_explanation is set to true.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\ExplanationSpec`

Returns
Type	Description
`$this`

getOutputInfo

Output only. Information further describing the output of this job.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\BatchPredictionJob\OutputInfo\|null`

hasOutputInfo

clearOutputInfo

setOutputInfo

Output only. Information further describing the output of this job.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\BatchPredictionJob\OutputInfo`

Returns
Type	Description
`$this`

getState

Output only. The detailed state of the job.

Returns
Type	Description
`int`

setState

Output only. The detailed state of the job.

Parameter
Name	Description
`var`	`int`

Returns
Type	Description
`$this`

getError

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

Returns
Type	Description
`Google\Rpc\Status\|null`

hasError

clearError

setError

Output only. Only populated when the job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

Parameter
Name	Description
`var`	`Google\Rpc\Status`

Returns
Type	Description
`$this`

getPartialFailures

Output only. Partial failures encountered.

For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setPartialFailures

Output only. Partial failures encountered.

For example, single files that can't be read. This field never exceeds 20 entries. Status details fields contain standard Google Cloud error details.

Parameter
Name	Description
`var`	`array<Google\Rpc\Status>`

Returns
Type	Description
`$this`

getResourcesConsumed

Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes.

Note: This field currently may be not populated for batch predictions that use AutoML Models.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ResourcesConsumed\|null`

hasResourcesConsumed

clearResourcesConsumed

setResourcesConsumed

Output only. Information about resources that had been consumed by this job. Provided in real time at best effort basis, as well as a final value once the job completes.

Note: This field currently may be not populated for batch predictions that use AutoML Models.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\ResourcesConsumed`

Returns
Type	Description
`$this`

getCompletionStats

Output only. Statistics on completed and failed prediction instances.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\CompletionStats\|null`

hasCompletionStats

clearCompletionStats

setCompletionStats

Output only. Statistics on completed and failed prediction instances.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\CompletionStats`

Returns
Type	Description
`$this`

getCreateTime

Output only. Time when the BatchPredictionJob was created.

Returns
Type	Description
`Google\Protobuf\Timestamp\|null`

hasCreateTime

clearCreateTime

setCreateTime

Output only. Time when the BatchPredictionJob was created.

Parameter
Name	Description
`var`	`Google\Protobuf\Timestamp`

Returns
Type	Description
`$this`

getStartTime

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

Returns
Type	Description
`Google\Protobuf\Timestamp\|null`

hasStartTime

clearStartTime

setStartTime

Output only. Time when the BatchPredictionJob for the first time entered the JOB_STATE_RUNNING state.

Parameter
Name	Description
`var`	`Google\Protobuf\Timestamp`

Returns
Type	Description
`$this`

getEndTime

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

Returns
Type	Description
`Google\Protobuf\Timestamp\|null`

hasEndTime

clearEndTime

setEndTime

Output only. Time when the BatchPredictionJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.

Parameter
Name	Description
`var`	`Google\Protobuf\Timestamp`

Returns
Type	Description
`$this`

getUpdateTime

Output only. Time when the BatchPredictionJob was most recently updated.

Returns
Type	Description
`Google\Protobuf\Timestamp\|null`

hasUpdateTime

clearUpdateTime

setUpdateTime

Output only. Time when the BatchPredictionJob was most recently updated.

Parameter
Name	Description
`var`	`Google\Protobuf\Timestamp`

Returns
Type	Description
`$this`

getLabels

The labels with user-defined metadata to organize BatchPredictionJobs.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.

Returns
Type	Description
`Google\Protobuf\Internal\MapField`

setLabels

The labels with user-defined metadata to organize BatchPredictionJobs.

Parameter
Name	Description
`var`	`array\|Google\Protobuf\Internal\MapField`

Returns
Type	Description
`$this`

getEncryptionSpec

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\EncryptionSpec\|null`

hasEncryptionSpec

clearEncryptionSpec

setEncryptionSpec

Customer-managed encryption key options for a BatchPredictionJob. If this is set, then all resources created by the BatchPredictionJob will be encrypted with the provided encryption key.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\EncryptionSpec`

Returns
Type	Description
`$this`

getDisableContainerLogging

For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send stderr and stdout streams to Stackdriver Logging by default. Please note that the logs incur cost, which are subject to Cloud Logging pricing.

User can disable container logging by setting this flag to true.

Returns
Type	Description
`bool`

setDisableContainerLogging

User can disable container logging by setting this flag to true.

Parameter
Name	Description
`var`	`bool`

Returns
Type	Description
`$this`