Module gapi_grpc::google::cloud::automl::v1[][src]

Modules

annotation_payload
auto_ml_client

Generated client implementations.

batch_predict_input_config
batch_predict_operation_metadata
batch_predict_output_config
bounding_box_metrics_entry
classification_evaluation_metrics
dataset
deploy_model_request
document
document_dimensions
example_payload
export_data_operation_metadata
export_model_operation_metadata
image
input_config
model
model_evaluation
model_export_output_config
operation_metadata
output_config
prediction_service_client

Generated client implementations.

text_extraction_annotation
text_extraction_evaluation_metrics

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:

  • 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.