pulumi-google-native-kotlin/com.pulumi.googlenative.datalabeling.v1beta1.kotlin.outputs

Package-level declarations

Types

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data class GetAnnotationSpecSetResult(val annotationSpecs: List<GoogleCloudDatalabelingV1beta1AnnotationSpecResponse>, val blockingResources: List<String>, val description: String, val displayName: String, val name: String)
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data class GetDatasetResult(val blockingResources: List<String>, val createTime: String, val dataItemCount: String, val description: String, val displayName: String, val inputConfigs: List<GoogleCloudDatalabelingV1beta1InputConfigResponse>, val lastMigrateTime: String, val name: String)
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data class GetEvaluationJobResult(val annotationSpecSet: String, val attempts: List<GoogleCloudDatalabelingV1beta1AttemptResponse>, val createTime: String, val description: String, val evaluationJobConfig: GoogleCloudDatalabelingV1beta1EvaluationJobConfigResponse, val labelMissingGroundTruth: Boolean, val modelVersion: String, val name: String, val schedule: String, val state: String)
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data class GetFeedbackMessageResult(val body: String, val createTime: String, val image: String, val name: String, val operatorFeedbackMetadata: GoogleCloudDatalabelingV1beta1OperatorFeedbackMetadataResponse, val requesterFeedbackMetadata: GoogleCloudDatalabelingV1beta1RequesterFeedbackMetadataResponse)
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data class GetInstructionResult(val blockingResources: List<String>, val createTime: String, val csvInstruction: GoogleCloudDatalabelingV1beta1CsvInstructionResponse, val dataType: String, val description: String, val displayName: String, val name: String, val pdfInstruction: GoogleCloudDatalabelingV1beta1PdfInstructionResponse, val updateTime: String)
data class GoogleCloudDatalabelingV1beta1AnnotationSpecResponse(val description: String, val displayName: String, val index: Int)

Container of information related to one possible annotation that can be used in a labeling task. For example, an image classification task where images are labeled as dog or cat must reference an AnnotationSpec for dog and an AnnotationSpec for cat.

data class GoogleCloudDatalabelingV1beta1AttemptResponse(val attemptTime: String, val partialFailures: List<GoogleRpcStatusResponse>)

Records a failed evaluation job run.

data class GoogleCloudDatalabelingV1beta1BigQuerySourceResponse(val inputUri: String)

The BigQuery location for input data. If used in an EvaluationJob, this is where the service saves the prediction input and output sampled from the model version.

data class GoogleCloudDatalabelingV1beta1BoundingBoxEvaluationOptionsResponse(val iouThreshold: Double)

Options regarding evaluation between bounding boxes.

data class GoogleCloudDatalabelingV1beta1BoundingPolyConfigResponse(val annotationSpecSet: String, val instructionMessage: String)

Config for image bounding poly (and bounding box) human labeling task.

data class GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse(val isMultiLabel: Boolean)

Metadata for classification annotations.

data class GoogleCloudDatalabelingV1beta1CsvInstructionResponse(val gcsFileUri: String)

Deprecated: this instruction format is not supported any more. Instruction from a CSV file.

data class GoogleCloudDatalabelingV1beta1EvaluationConfigResponse(val boundingBoxEvaluationOptions: GoogleCloudDatalabelingV1beta1BoundingBoxEvaluationOptionsResponse)

Configuration details used for calculating evaluation metrics and creating an Evaluation.

data class GoogleCloudDatalabelingV1beta1EvaluationJobAlertConfigResponse(val email: String, val minAcceptableMeanAveragePrecision: Double)

Provides details for how an evaluation job sends email alerts based on the results of a run.

data class GoogleCloudDatalabelingV1beta1EvaluationJobConfigResponse(val bigqueryImportKeys: Map<String, String>, val boundingPolyConfig: GoogleCloudDatalabelingV1beta1BoundingPolyConfigResponse, val evaluationConfig: GoogleCloudDatalabelingV1beta1EvaluationConfigResponse, val evaluationJobAlertConfig: GoogleCloudDatalabelingV1beta1EvaluationJobAlertConfigResponse, val exampleCount: Int, val exampleSamplePercentage: Double, val humanAnnotationConfig: GoogleCloudDatalabelingV1beta1HumanAnnotationConfigResponse, val imageClassificationConfig: GoogleCloudDatalabelingV1beta1ImageClassificationConfigResponse, val inputConfig: GoogleCloudDatalabelingV1beta1InputConfigResponse, val textClassificationConfig: GoogleCloudDatalabelingV1beta1TextClassificationConfigResponse)

Configures specific details of how a continuous evaluation job works. Provide this configuration when you create an EvaluationJob.

data class GoogleCloudDatalabelingV1beta1GcsSourceResponse(val inputUri: String, val mimeType: String)

Source of the Cloud Storage file to be imported.

data class GoogleCloudDatalabelingV1beta1HumanAnnotationConfigResponse(val annotatedDatasetDescription: String, val annotatedDatasetDisplayName: String, val contributorEmails: List<String>, val instruction: String, val labelGroup: String, val languageCode: String, val questionDuration: String, val replicaCount: Int, val userEmailAddress: String)

Configuration for how human labeling task should be done.

data class GoogleCloudDatalabelingV1beta1ImageClassificationConfigResponse(val allowMultiLabel: Boolean, val annotationSpecSet: String, val answerAggregationType: String)

Config for image classification human labeling task.

data class GoogleCloudDatalabelingV1beta1InputConfigResponse(val annotationType: String, val bigquerySource: GoogleCloudDatalabelingV1beta1BigQuerySourceResponse, val classificationMetadata: GoogleCloudDatalabelingV1beta1ClassificationMetadataResponse, val dataType: String, val gcsSource: GoogleCloudDatalabelingV1beta1GcsSourceResponse, val textMetadata: GoogleCloudDatalabelingV1beta1TextMetadataResponse)

The configuration of input data, including data type, location, etc.

class GoogleCloudDatalabelingV1beta1OperatorFeedbackMetadataResponse

Metadata describing the feedback from the operator.

data class GoogleCloudDatalabelingV1beta1PdfInstructionResponse(val gcsFileUri: String)

Instruction from a PDF file.

class GoogleCloudDatalabelingV1beta1RequesterFeedbackMetadataResponse

Metadata describing the feedback from the labeling task requester.

data class GoogleCloudDatalabelingV1beta1SentimentConfigResponse(val enableLabelSentimentSelection: Boolean)

Config for setting up sentiments.

data class GoogleCloudDatalabelingV1beta1TextClassificationConfigResponse(val allowMultiLabel: Boolean, val annotationSpecSet: String, val sentimentConfig: GoogleCloudDatalabelingV1beta1SentimentConfigResponse)

Config for text classification human labeling task.

data class GoogleCloudDatalabelingV1beta1TextMetadataResponse(val languageCode: String)

Metadata for the text.

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data class GoogleRpcStatusResponse(val code: Int, val details: List<Map<String, String>>, val message: String)

The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.