EvaluationJobArgs class

The set of arguments for EvaluationJob. The set of arguments for EvaluationJob.

Constructors

EvaluationJobArgs({required Input<String> annotationSpecSet, required Input<String> description, required Input<GoogleCloudDatalabelingV1beta1EvaluationJobConfig> evaluationJobConfig, required Input<bool> labelMissingGroundTruth, required Input<String> modelVersion, Input<String>? project, required Input<String> schedule})
Creates a new EvaluationJobArgs. annotationSpecSet Name of the AnnotationSpecSet describing all the labels that your machine learning model outputs. You must create this resource before you create an evaluation job and provide its name in the following format: "projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}" description Description of the job. The description can be up to 25,000 characters long. evaluationJobConfig Configuration details for the evaluation job. labelMissingGroundTruth Whether you want Data Labeling Service to provide ground truth labels for prediction input. If you want the service to assign human labelers to annotate your data, set this to true. If you want to provide your own ground truth labels in the evaluation job's BigQuery table, set this to false. modelVersion The AI Platform Prediction model version to be evaluated. Prediction input and output is sampled from this model version. When creating an evaluation job, specify the model version in the following format: "projects/{project_id}/models/{model_name}/versions/{version_name}" There can only be one evaluation job per model version. project Optional. schedule Describes the interval at which the job runs. This interval must be at least 1 day, and it is rounded to the nearest day. For example, if you specify a 50-hour interval, the job runs every 2 days. You can provide the schedule in crontab format or in an English-like format. Regardless of what you specify, the job will run at 10:00 AM UTC. Only the interval from this schedule is used, not the specific time of day.
const
EvaluationJobArgs.fromMap(Map<String, dynamic> map)
factory

Properties

annotationSpecSet → Input<String>
Name of the AnnotationSpecSet describing all the labels that your machine learning model outputs. You must create this resource before you create an evaluation job and provide its name in the following format: "projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}"
final
description → Input<String>
Description of the job. The description can be up to 25,000 characters long.
final
evaluationJobConfig → Input<GoogleCloudDatalabelingV1beta1EvaluationJobConfig>
Configuration details for the evaluation job.
final
hashCode → int
The hash code for this object.
no setterinherited
labelMissingGroundTruth → Input<bool>
Whether you want Data Labeling Service to provide ground truth labels for prediction input. If you want the service to assign human labelers to annotate your data, set this to true. If you want to provide your own ground truth labels in the evaluation job's BigQuery table, set this to false.
final
modelVersion → Input<String>
The AI Platform Prediction model version to be evaluated. Prediction input and output is sampled from this model version. When creating an evaluation job, specify the model version in the following format: "projects/{project_id}/models/{model_name}/versions/{version_name}" There can only be one evaluation job per model version.
final
project → Input<String>?
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
schedule → Input<String>
Describes the interval at which the job runs. This interval must be at least 1 day, and it is rounded to the nearest day. For example, if you specify a 50-hour interval, the job runs every 2 days. You can provide the schedule in crontab format or in an English-like format. Regardless of what you specify, the job will run at 10:00 AM UTC. Only the interval from this schedule is used, not the specific time of day.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toMap() → Map<String, dynamic>
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited