Package com.google.cloud.automl.v1
package com.google.cloud.automl.v1
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ClassDescriptionContains annotation information that is relevant to AutoML.Contains annotation information that is relevant to AutoML.A definition of an annotation spec.A definition of an annotation spec.Builder for projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}.Input configuration for BatchPredict Action.Input configuration for BatchPredict Action.Details of BatchPredict operation.Further describes this batch predict's output.Further describes this batch predict's output.Details of BatchPredict operation.Output configuration for BatchPredict Action.Output configuration for BatchPredict Action.Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].Result of the Batch Predict.Result of the Batch Predict.Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.Metrics for a single confidence threshold.Metrics for a single confidence threshold.A bounding polygon of a detected object on a plane.A bounding polygon of a detected object on a plane.Contains annotation details specific to classification.Contains annotation details specific to classification.Model evaluation metrics for classification problems.Model evaluation metrics for classification problems.Metrics for a single confidence threshold.Metrics for a single confidence threshold.Confusion matrix of the model running the classification.Confusion matrix of the model running the classification.Output only.Output only.Type of the classification problem.Details of CreateDataset operation.Details of CreateDataset operation.Request message for [AutoMl.CreateDataset][google.cloud.automl.v1.AutoMl.CreateDataset].Request message for [AutoMl.CreateDataset][google.cloud.automl.v1.AutoMl.CreateDataset].Details of CreateModel operation.Details of CreateModel operation.Request message for [AutoMl.CreateModel][google.cloud.automl.v1.AutoMl.CreateModel].Request message for [AutoMl.CreateModel][google.cloud.automl.v1.AutoMl.CreateModel].A workspace for solving a single, particular machine learning (ML) problem.A workspace for solving a single, particular machine learning (ML) problem.Builder for projects/{project}/locations/{location}/datasets/{dataset}.Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1.AutoMl.DeleteDataset].Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1.AutoMl.DeleteDataset].Request message for [AutoMl.DeleteModel][google.cloud.automl.v1.AutoMl.DeleteModel].Request message for [AutoMl.DeleteModel][google.cloud.automl.v1.AutoMl.DeleteModel].Details of operations that perform deletes of any entities.Details of operations that perform deletes of any entities.Details of DeployModel operation.Details of DeployModel operation.Request message for [AutoMl.DeployModel][google.cloud.automl.v1.AutoMl.DeployModel].Request message for [AutoMl.DeployModel][google.cloud.automl.v1.AutoMl.DeployModel].A structured text document e.g. a PDF.A structured text document e.g. a PDF.Describes the layout information of a [text_segment][google.cloud.automl.v1.Document.Layout.text_segment] in the document.Describes the layout information of a [text_segment][google.cloud.automl.v1.Document.Layout.text_segment] in the document.The type of TextSegment in the context of the original document.Message that describes dimension of a document.Message that describes dimension of a document.Unit of the document dimension.Input configuration of a [Document][google.cloud.automl.v1.Document].Input configuration of a [Document][google.cloud.automl.v1.Document].Example data used for training or prediction.Example data used for training or prediction.Details of ExportData operation.Details of ExportData operation.Further describes this export data's output.Further describes this export data's output.Request message for [AutoMl.ExportData][google.cloud.automl.v1.AutoMl.ExportData].Request message for [AutoMl.ExportData][google.cloud.automl.v1.AutoMl.ExportData].Details of ExportModel operation.Details of ExportModel operation.Further describes the output of model export.Further describes the output of model export.Request message for [AutoMl.ExportModel][google.cloud.automl.v1.AutoMl.ExportModel].Request message for [AutoMl.ExportModel][google.cloud.automl.v1.AutoMl.ExportModel].The Google Cloud Storage location where the output is to be written to.The Google Cloud Storage location where the output is to be written to.The Google Cloud Storage location for the input content.The Google Cloud Storage location for the input content.Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1.AutoMl.GetAnnotationSpec].Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1.AutoMl.GetAnnotationSpec].Request message for [AutoMl.GetDataset][google.cloud.automl.v1.AutoMl.GetDataset].Request message for [AutoMl.GetDataset][google.cloud.automl.v1.AutoMl.GetDataset].Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1.AutoMl.GetModelEvaluation].Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1.AutoMl.GetModelEvaluation].Request message for [AutoMl.GetModel][google.cloud.automl.v1.AutoMl.GetModel].Request message for [AutoMl.GetModel][google.cloud.automl.v1.AutoMl.GetModel].A representation of an image.A representation of an image.Dataset metadata that is specific to image classification.Dataset metadata that is specific to image classification.Model deployment metadata specific to Image Classification.Model deployment metadata specific to Image Classification.Model metadata for image classification.Model metadata for image classification.Annotation details for image object detection.Annotation details for image object detection.Dataset metadata specific to image object detection.Dataset metadata specific to image object detection.Model evaluation metrics for image object detection problems.Model evaluation metrics for image object detection problems.Model deployment metadata specific to Image Object Detection.Model deployment metadata specific to Image Object Detection.Model metadata specific to image object detection.Model metadata specific to image object detection.Details of ImportData operation.Details of ImportData operation.Request message for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData].Request message for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData].Input configuration for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData] action.Input configuration for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData] action.Request message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].Request message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].Response message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].Response message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].Request message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].Request message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].Response message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].Response message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].Builder for projects/{project}/locations/{location}.API proto representing a trained machine learning model.API proto representing a trained machine learning model.Deployment state of the model.Evaluation results of a model.Evaluation results of a model.Builder for projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}.Output configuration for ModelExport Action.Output configuration for ModelExport Action.Builder for projects/{project}/locations/{location}/models/{model}.A vertex represents a 2D point in the image.A vertex represents a 2D point in the image.Metadata used across all long running operations returned by AutoML API.Metadata used across all long running operations returned by AutoML API.* 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.* 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.Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].Response message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].Response message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].Dataset metadata for classification.Dataset metadata for classification.Model metadata that is specific to text classification.Model metadata that is specific to text classification.Annotation for identifying spans of text.Annotation for identifying spans of text.Dataset metadata that is specific to text extractionDataset metadata that is specific to text extractionModel evaluation metrics for text extraction problems.Model evaluation metrics for text extraction problems.Metrics for a single confidence threshold.Metrics for a single confidence threshold.Model metadata that is specific to text extraction.Model metadata that is specific to text extraction.A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.Contains annotation details specific to text sentiment.Contains annotation details specific to text sentiment.Dataset metadata for text sentiment.Dataset metadata for text sentiment.Model evaluation metrics for text sentiment problems.Model evaluation metrics for text sentiment problems.Model metadata that is specific to text sentiment.Model metadata that is specific to text sentiment.A representation of a text snippet.A representation of a text snippet.Annotation details specific to translation.Annotation details specific to translation.Dataset metadata that is specific to translation.Dataset metadata that is specific to translation.Evaluation metrics for the dataset.Evaluation metrics for the dataset.Model metadata that is specific to translation.Model metadata that is specific to translation.Details of UndeployModel operation.Details of UndeployModel operation.Request message for [AutoMl.UndeployModel][google.cloud.automl.v1.AutoMl.UndeployModel].Request message for [AutoMl.UndeployModel][google.cloud.automl.v1.AutoMl.UndeployModel].Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1.AutoMl.UpdateDataset]Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1.AutoMl.UpdateDataset]Request message for [AutoMl.UpdateModel][google.cloud.automl.v1.AutoMl.UpdateModel]Request message for [AutoMl.UpdateModel][google.cloud.automl.v1.AutoMl.UpdateModel]