Module google_api_proto::google::cloud::automl::v1beta1

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.
• category_stats
  Nested message and enum types in CategoryStats.
• classification_evaluation_metrics
  Nested message and enum types in ClassificationEvaluationMetrics.
• column_spec
  Nested message and enum types in ColumnSpec.
• data_stats
  Nested message and enum types in DataStats.
• data_type
  Nested message and enum types in DataType.
• 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_evaluated_examples_operation_metadata
  Nested message and enum types in ExportEvaluatedExamplesOperationMetadata.
• export_evaluated_examples_output_config
  Nested message and enum types in ExportEvaluatedExamplesOutputConfig.
• export_model_operation_metadata
  Nested message and enum types in ExportModelOperationMetadata.
• float64_stats
  Nested message and enum types in Float64Stats.
• 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.
• string_stats
  Nested message and enum types in StringStats.
• tables_model_metadata
  Nested message and enum types in TablesModelMetadata.
• text_extraction_annotation
  Nested message and enum types in TextExtractionAnnotation.
• text_extraction_evaluation_metrics
  Nested message and enum types in TextExtractionEvaluationMetrics.
• timestamp_stats
  Nested message and enum types in TimestampStats.

Structs

• AnnotationPayload
  Contains annotation information that is relevant to AutoML.
• AnnotationSpec
  A definition of an annotation spec.
• ArrayStats
  The data statistics of a series of ARRAY values.
• 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.v1beta1.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.v1beta1.PredictionService.BatchPredict].
• BigQueryDestination
  The BigQuery location for the output content.
• BigQuerySource
  The BigQuery location for the input content.
• 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.
• CategoryStats
  The data statistics of a series of CATEGORY values.
• 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.
• ColumnSpec
  A representation of a column in a relational table. When listing them, column specs are returned in the same order in which they were given on import . Used by:
• CorrelationStats
  A correlation statistics between two series of DataType values. The series may have differing DataType-s, but within a single series the DataType must be the same.
• CreateDatasetRequest
  Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
• CreateModelOperationMetadata
  Details of CreateModel operation.
• CreateModelRequest
  Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
• DataStats
  The data statistics of a series of values that share the same DataType.
• DataType
  Indicated the type of data that can be stored in a structured data entity (e.g. a table).
• 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.v1beta1.AutoMl.DeleteDataset].
• DeleteModelRequest
  Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.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.v1beta1.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.v1beta1.Document].
• DoubleRange
  A range between two double numbers.
• ExamplePayload
  Example data used for training or prediction.
• ExportDataOperationMetadata
  Details of ExportData operation.
• ExportDataRequest
  Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
• ExportEvaluatedExamplesOperationMetadata
  Details of EvaluatedExamples operation.
• ExportEvaluatedExamplesOutputConfig
  Output configuration for ExportEvaluatedExamples Action. Note that this call is available only for 30 days since the moment the model was evaluated. The output depends on the domain, as follows (note that only examples from the TEST set are exported):
• ExportEvaluatedExamplesRequest
  Request message for [AutoMl.ExportEvaluatedExamples][google.cloud.automl.v1beta1.AutoMl.ExportEvaluatedExamples].
• ExportModelOperationMetadata
  Details of ExportModel operation.
• ExportModelRequest
  Request message for [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]. Models need to be enabled for exporting, otherwise an error code will be returned.
• Float64Stats
  The data statistics of a series of FLOAT64 values.
• GcrDestination
  The GCR location where the image must be pushed to.
• 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.v1beta1.AutoMl.GetAnnotationSpec].
• GetColumnSpecRequest
  Request message for [AutoMl.GetColumnSpec][google.cloud.automl.v1beta1.AutoMl.GetColumnSpec].
• GetDatasetRequest
  Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
• GetModelEvaluationRequest
  Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
• GetModelRequest
  Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
• GetTableSpecRequest
  Request message for [AutoMl.GetTableSpec][google.cloud.automl.v1beta1.AutoMl.GetTableSpec].
• 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.v1beta1.AutoMl.ImportData].
• InputConfig
  Input configuration for ImportData Action.
• ListColumnSpecsRequest
  Request message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
• ListColumnSpecsResponse
  Response message for [AutoMl.ListColumnSpecs][google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs].
• ListDatasetsRequest
  Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
• ListDatasetsResponse
  Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
• ListModelEvaluationsRequest
  Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
• ListModelEvaluationsResponse
  Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
• ListModelsRequest
  Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
• ListModelsResponse
  Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
• ListTableSpecsRequest
  Request message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
• ListTableSpecsResponse
  Response message for [AutoMl.ListTableSpecs][google.cloud.automl.v1beta1.AutoMl.ListTableSpecs].
• 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 GCS or BigQuery. GCS case:
• PredictRequest
  Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
• PredictResponse
  Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].
• RegressionEvaluationMetrics
  Metrics for regression problems.
• Row
  A representation of a row in a relational table.
• StringStats
  The data statistics of a series of STRING values.
• StructStats
  The data statistics of a series of STRUCT values.
• StructType
  StructType defines the DataType-s of a [STRUCT][google.cloud.automl.v1beta1.TypeCode.STRUCT] type.
• TableSpec
  A specification of a relational table. The table’s schema is represented via its child column specs. It is pre-populated as part of ImportData by schema inference algorithm, the version of which is a required parameter of ImportData InputConfig. Note: While working with a table, at times the schema may be inconsistent with the data in the table (e.g. string in a FLOAT64 column). The consistency validation is done upon creation of a model. Used by:
• TablesAnnotation
  Contains annotation details specific to Tables.
• TablesDatasetMetadata
  Metadata for a dataset used for AutoML Tables.
• TablesModelColumnInfo
  An information specific to given column and Tables Model, in context of the Model and the predictions created by it.
• TablesModelMetadata
  Model metadata specific to AutoML Tables.
• 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.
• TimeSegment
  A time period inside of an example that has a time dimension (e.g. video).
• TimestampStats
  The data statistics of a series of TIMESTAMP values.
• 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.v1beta1.AutoMl.UndeployModel].
• UpdateColumnSpecRequest
  Request message for [AutoMl.UpdateColumnSpec][google.cloud.automl.v1beta1.AutoMl.UpdateColumnSpec]
• UpdateDatasetRequest
  Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1beta1.AutoMl.UpdateDataset]
• UpdateTableSpecRequest
  Request message for [AutoMl.UpdateTableSpec][google.cloud.automl.v1beta1.AutoMl.UpdateTableSpec]
• VideoClassificationAnnotation
  Contains annotation details specific to video classification.
• VideoClassificationDatasetMetadata
  Dataset metadata specific to video classification. All Video Classification datasets are treated as multi label.
• VideoClassificationModelMetadata
  Model metadata specific to video classification.
• VideoObjectTrackingAnnotation
  Annotation details for video object tracking.
• VideoObjectTrackingDatasetMetadata
  Dataset metadata specific to video object tracking.
• VideoObjectTrackingEvaluationMetrics
  Model evaluation metrics for video object tracking problems. Evaluates prediction quality of both labeled bounding boxes and labeled tracks (i.e. series of bounding boxes sharing same label and instance ID).
• VideoObjectTrackingModelMetadata
  Model metadata specific to video object tracking.

Enums

• ClassificationType
  Type of the classification problem.
• TypeCode
  TypeCode is used as a part of [DataType][google.cloud.automl.v1beta1.DataType].