Module google_api_proto::google::cloud::automl::v1

Modules

• annotation_payload
  Nested message and enum types in AnnotationPayload.
• auto_ml_client
  Generated client implementations.
• batch_predict_input_config
  Nested message and enum types in BatchPredictInputConfig.
• batch_predict_operation_metadata
  Nested message and enum types in BatchPredictOperationMetadata.
• batch_predict_output_config
  Nested message and enum types in BatchPredictOutputConfig.
• bounding_box_metrics_entry
  Nested message and enum types in BoundingBoxMetricsEntry.
• classification_evaluation_metrics
  Nested message and enum types in ClassificationEvaluationMetrics.
• dataset
  Nested message and enum types in Dataset.
• deploy_model_request
  Nested message and enum types in DeployModelRequest.
• document
  Nested message and enum types in Document.
• document_dimensions
  Nested message and enum types in DocumentDimensions.
• example_payload
  Nested message and enum types in ExamplePayload.
• export_data_operation_metadata
  Nested message and enum types in ExportDataOperationMetadata.
• export_model_operation_metadata
  Nested message and enum types in ExportModelOperationMetadata.
• image
  Nested message and enum types in Image.
• input_config
  Nested message and enum types in InputConfig.
• model
  Nested message and enum types in Model.
• model_evaluation
  Nested message and enum types in ModelEvaluation.
• model_export_output_config
  Nested message and enum types in ModelExportOutputConfig.
• operation_metadata
  Nested message and enum types in OperationMetadata.
• output_config
  Nested message and enum types in OutputConfig.
• prediction_service_client
  Generated client implementations.
• text_extraction_annotation
  Nested message and enum types in TextExtractionAnnotation.
• text_extraction_evaluation_metrics
  Nested message and enum types in TextExtractionEvaluationMetrics.

Structs

• AnnotationPayload
  Contains annotation information that is relevant to AutoML.
• AnnotationSpec
  A definition of an annotation spec.
• BatchPredictInputConfig
  Input configuration for BatchPredict Action.
• BatchPredictOperationMetadata
  Details of BatchPredict operation.
• BatchPredictOutputConfig
  Output configuration for BatchPredict Action.
• BatchPredictRequest
  Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
• BatchPredictResult
  Result of the Batch Predict. This message is returned in [response][google.longrunning.Operation.response] of the operation returned by the [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
• BoundingBoxMetricsEntry
  Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.
• BoundingPoly
  A bounding polygon of a detected object on a plane. On output both vertices and normalized_vertices are provided. The polygon is formed by connecting vertices in the order they are listed.
• ClassificationAnnotation
  Contains annotation details specific to classification.
• ClassificationEvaluationMetrics
  Model evaluation metrics for classification problems. Note: For Video Classification this metrics only describe quality of the Video Classification predictions of “segment_classification” type.
• CreateDatasetOperationMetadata
  Details of CreateDataset operation.
• CreateDatasetRequest
  Request message for [AutoMl.CreateDataset][google.cloud.automl.v1.AutoMl.CreateDataset].
• CreateModelOperationMetadata
  Details of CreateModel operation.
• CreateModelRequest
  Request message for [AutoMl.CreateModel][google.cloud.automl.v1.AutoMl.CreateModel].
• Dataset
  A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.
• DeleteDatasetRequest
  Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1.AutoMl.DeleteDataset].
• DeleteModelRequest
  Request message for [AutoMl.DeleteModel][google.cloud.automl.v1.AutoMl.DeleteModel].
• DeleteOperationMetadata
  Details of operations that perform deletes of any entities.
• DeployModelOperationMetadata
  Details of DeployModel operation.
• DeployModelRequest
  Request message for [AutoMl.DeployModel][google.cloud.automl.v1.AutoMl.DeployModel].
• Document
  A structured text document e.g. a PDF.
• DocumentDimensions
  Message that describes dimension of a document.
• DocumentInputConfig
  Input configuration of a [Document][google.cloud.automl.v1.Document].
• ExamplePayload
  Example data used for training or prediction.
• ExportDataOperationMetadata
  Details of ExportData operation.
• ExportDataRequest
  Request message for [AutoMl.ExportData][google.cloud.automl.v1.AutoMl.ExportData].
• ExportModelOperationMetadata
  Details of ExportModel operation.
• ExportModelRequest
  Request message for [AutoMl.ExportModel][google.cloud.automl.v1.AutoMl.ExportModel]. Models need to be enabled for exporting, otherwise an error code will be returned.
• GcsDestination
  The Google Cloud Storage location where the output is to be written to.
• GcsSource
  The Google Cloud Storage location for the input content.
• GetAnnotationSpecRequest
  Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1.AutoMl.GetAnnotationSpec].
• GetDatasetRequest
  Request message for [AutoMl.GetDataset][google.cloud.automl.v1.AutoMl.GetDataset].
• GetModelEvaluationRequest
  Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1.AutoMl.GetModelEvaluation].
• GetModelRequest
  Request message for [AutoMl.GetModel][google.cloud.automl.v1.AutoMl.GetModel].
• Image
  A representation of an image. Only images up to 30MB in size are supported.
• ImageClassificationDatasetMetadata
  Dataset metadata that is specific to image classification.
• ImageClassificationModelDeploymentMetadata
  Model deployment metadata specific to Image Classification.
• ImageClassificationModelMetadata
  Model metadata for image classification.
• ImageObjectDetectionAnnotation
  Annotation details for image object detection.
• ImageObjectDetectionDatasetMetadata
  Dataset metadata specific to image object detection.
• ImageObjectDetectionEvaluationMetrics
  Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.
• ImageObjectDetectionModelDeploymentMetadata
  Model deployment metadata specific to Image Object Detection.
• ImageObjectDetectionModelMetadata
  Model metadata specific to image object detection.
• ImportDataOperationMetadata
  Details of ImportData operation.
• ImportDataRequest
  Request message for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData].
• InputConfig
  Input configuration for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData] action.
• ListDatasetsRequest
  Request message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].
• ListDatasetsResponse
  Response message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].
• ListModelEvaluationsRequest
  Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].
• ListModelEvaluationsResponse
  Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].
• ListModelsRequest
  Request message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].
• ListModelsResponse
  Response message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].
• Model
  API proto representing a trained machine learning model.
• ModelEvaluation
  Evaluation results of a model.
• ModelExportOutputConfig
  Output configuration for ModelExport Action.
• NormalizedVertex
  A vertex represents a 2D point in the image. The normalized vertex coordinates are between 0 to 1 fractions relative to the original plane (image, video). E.g. if the plane (e.g. whole image) would have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would be at the position (1, 6) on that plane.
• OperationMetadata
  Metadata used across all long running operations returned by AutoML API.
• OutputConfig
  For Translation: CSV file translation.csv, with each line in format: ML_USE,GCS_FILE_PATH GCS_FILE_PATH leads to a .TSV file which describes examples that have given ML_USE, using the following row format per line: TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target language)For Tables: Output depends on whether the dataset was imported from Google Cloud Storage or BigQuery. Google Cloud Storage case: [gcs_destination][google.cloud.automl.v1p1beta.OutputConfig.gcs_destination] must be set. Exported are CSV file(s) tables_1.csv, tables_2.csv,…,tables_N.csv with each having as header line the table’s column names, and all other lines contain values for the header columns. BigQuery case: [bigquery_destination][google.cloud.automl.v1p1beta.OutputConfig.bigquery_destination] pointing to a BigQuery project must be set. In the given project a new dataset will be created with name export_data_<automl-dataset-display-name>_<timestamp-of-export-call> where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores), and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ “based on ISO-8601” format. In that dataset a new table called primary_table will be created, and filled with precisely the same data as this obtained on import.
• PredictRequest
  Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
• PredictResponse
  Response message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
• TextClassificationDatasetMetadata
  Dataset metadata for classification.
• TextClassificationModelMetadata
  Model metadata that is specific to text classification.
• TextExtractionAnnotation
  Annotation for identifying spans of text.
• TextExtractionDatasetMetadata
  Dataset metadata that is specific to text extraction
• TextExtractionEvaluationMetrics
  Model evaluation metrics for text extraction problems.
• TextExtractionModelMetadata
  Model metadata that is specific to text extraction.
• TextSegment
  A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
• TextSentimentAnnotation
  Contains annotation details specific to text sentiment.
• TextSentimentDatasetMetadata
  Dataset metadata for text sentiment.
• TextSentimentEvaluationMetrics
  Model evaluation metrics for text sentiment problems.
• TextSentimentModelMetadata
  Model metadata that is specific to text sentiment.
• TextSnippet
  A representation of a text snippet.
• TranslationAnnotation
  Annotation details specific to translation.
• TranslationDatasetMetadata
  Dataset metadata that is specific to translation.
• TranslationEvaluationMetrics
  Evaluation metrics for the dataset.
• TranslationModelMetadata
  Model metadata that is specific to translation.
• UndeployModelOperationMetadata
  Details of UndeployModel operation.
• UndeployModelRequest
  Request message for [AutoMl.UndeployModel][google.cloud.automl.v1.AutoMl.UndeployModel].
• UpdateDatasetRequest
  Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1.AutoMl.UpdateDataset]
• UpdateModelRequest
  Request message for [AutoMl.UpdateModel][google.cloud.automl.v1.AutoMl.UpdateModel]

Enums

• ClassificationType
  Type of the classification problem.