Module gapi_grpc::google::cloud::automl::v1beta1[−][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
category_stats
classification_evaluation_metrics
column_spec
data_stats
data_type
dataset
deploy_model_request
document
document_dimensions
example_payload
export_data_operation_metadata
export_evaluated_examples_operation_metadata
export_evaluated_examples_output_config
export_model_operation_metadata
float64_stats
image
input_config
model
model_evaluation
model_export_output_config
operation_metadata
output_config
prediction_service_client	Generated client implementations.
string_stats
tables_model_metadata
text_extraction_annotation
text_extraction_evaluation_metrics
timestamp_stats

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].