Class |
Description |
com.google.cloud.automl.v1beta1.AnnotationPayload |
Contains annotation information that is relevant to AutoML.
|
com.google.cloud.automl.v1beta1.AnnotationPayload.Builder |
Contains annotation information that is relevant to AutoML.
|
com.google.cloud.automl.v1beta1.AnnotationPayloadOuterClass |
|
com.google.cloud.automl.v1beta1.AnnotationSpec |
A definition of an annotation spec.
|
com.google.cloud.automl.v1beta1.AnnotationSpec.Builder |
A definition of an annotation spec.
|
com.google.cloud.automl.v1beta1.AnnotationSpecName |
|
com.google.cloud.automl.v1beta1.AnnotationSpecName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}. |
com.google.cloud.automl.v1beta1.AnnotationSpecOuterClass |
|
com.google.cloud.automl.v1beta1.ArrayStats |
The data statistics of a series of ARRAY values.
|
com.google.cloud.automl.v1beta1.ArrayStats.Builder |
The data statistics of a series of ARRAY values.
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsFixedSizeCollection |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPage |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListColumnSpecsPagedResponse |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsFixedSizeCollection |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPage |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListDatasetsPagedResponse |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsFixedSizeCollection |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPage |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListModelEvaluationsPagedResponse |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsFixedSizeCollection |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPage |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListModelsPagedResponse |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsFixedSizeCollection |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPage |
|
com.google.cloud.automl.v1beta1.AutoMlClient.ListTableSpecsPagedResponse |
|
com.google.cloud.automl.v1beta1.AutoMlGrpc |
AutoML Server API.
The resource names are assigned by the server.
The server never reuses names that it has created after the resources with |
com.google.cloud.automl.v1beta1.AutoMlGrpc.AutoMlImplBase |
Base class for the server implementation of the service AutoMl.
AutoML Server API. |
com.google.cloud.automl.v1beta1.AutoMlProto |
|
com.google.cloud.automl.v1beta1.AutoMlSettings.Builder |
Builder for AutoMlSettings. |
com.google.cloud.automl.v1beta1.BatchPredictInputConfig |
Input configuration for BatchPredict Action.
The format of input depends on the ML problem of the model used for |
com.google.cloud.automl.v1beta1.BatchPredictInputConfig.Builder |
Input configuration for BatchPredict Action.
The format of input depends on the ML problem of the model used for |
com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata |
Details of BatchPredict operation.
|
com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo |
Further describes this batch predict's output.
Supplements
|
com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.BatchPredictOutputInfo.Builder |
Further describes this batch predict's output.
Supplements
|
com.google.cloud.automl.v1beta1.BatchPredictOperationMetadata.Builder |
Details of BatchPredict operation.
|
com.google.cloud.automl.v1beta1.BatchPredictOutputConfig |
Output configuration for BatchPredict Action.
As destination the |
com.google.cloud.automl.v1beta1.BatchPredictOutputConfig.Builder |
Output configuration for BatchPredict Action.
As destination the |
com.google.cloud.automl.v1beta1.BatchPredictRequest |
Request message for PredictionService.BatchPredict.
|
com.google.cloud.automl.v1beta1.BatchPredictRequest.Builder |
Request message for PredictionService.BatchPredict.
|
com.google.cloud.automl.v1beta1.BatchPredictResult |
Result of the Batch Predict. This message is returned in
response of the operation returned
by the PredictionService.BatchPredict. |
com.google.cloud.automl.v1beta1.BatchPredictResult.Builder |
Result of the Batch Predict. This message is returned in
response of the operation returned
by the PredictionService.BatchPredict. |
com.google.cloud.automl.v1beta1.BigQueryDestination |
The BigQuery location for the output content.
|
com.google.cloud.automl.v1beta1.BigQueryDestination.Builder |
The BigQuery location for the output content.
|
com.google.cloud.automl.v1beta1.BigQuerySource |
The BigQuery location for the input content.
|
com.google.cloud.automl.v1beta1.BigQuerySource.Builder |
The BigQuery location for the input content.
|
com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry |
Bounding box matching model metrics for a single intersection-over-union
threshold and multiple label match confidence thresholds.
|
com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.Builder |
Bounding box matching model metrics for a single intersection-over-union
threshold and multiple label match confidence thresholds.
|
com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder |
Metrics for a single confidence threshold.
|
com.google.cloud.automl.v1beta1.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. |
com.google.cloud.automl.v1beta1.BoundingPoly.Builder |
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. |
com.google.cloud.automl.v1beta1.CategoryStats |
The data statistics of a series of CATEGORY values.
|
com.google.cloud.automl.v1beta1.CategoryStats.Builder |
The data statistics of a series of CATEGORY values.
|
com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats |
The statistics of a single CATEGORY value.
|
com.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.Builder |
The statistics of a single CATEGORY value.
|
com.google.cloud.automl.v1beta1.ClassificationProto |
|
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation |
Contains annotation details specific to classification.
|
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationAnnotation.Builder |
Contains annotation details specific to classification.
|
com.google.cloud.automl.v1beta1.ClassificationProto.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. |
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.Builder |
Model evaluation metrics for classification problems.
Note: For Video Classification this metrics only describe quality of the
Video Classification predictions of "segment_classification" type. |
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder |
Metrics for a single confidence threshold.
|
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix |
Confusion matrix of the model running the classification.
|
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder |
Confusion matrix of the model running the classification.
|
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row |
Output only. A row in the confusion matrix.
|
com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder |
Output only. A row in the confusion matrix.
|
com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation |
Contains annotation details specific to video classification.
|
com.google.cloud.automl.v1beta1.ClassificationProto.VideoClassificationAnnotation.Builder |
Contains annotation details specific to video classification.
|
com.google.cloud.automl.v1beta1.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: |
com.google.cloud.automl.v1beta1.ColumnSpec.Builder |
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: |
com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn |
Identifies the table's column, and its correlation with the column this
ColumnSpec describes.
|
com.google.cloud.automl.v1beta1.ColumnSpec.CorrelatedColumn.Builder |
Identifies the table's column, and its correlation with the column this
ColumnSpec describes.
|
com.google.cloud.automl.v1beta1.ColumnSpecName |
|
com.google.cloud.automl.v1beta1.ColumnSpecName.Builder |
Builder for
projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}/columnSpecs/{column_spec}. |
com.google.cloud.automl.v1beta1.ColumnSpecOuterClass |
|
com.google.cloud.automl.v1beta1.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. |
com.google.cloud.automl.v1beta1.CorrelationStats.Builder |
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. |
com.google.cloud.automl.v1beta1.CreateDatasetRequest |
Request message for AutoMl.CreateDataset.
|
com.google.cloud.automl.v1beta1.CreateDatasetRequest.Builder |
Request message for AutoMl.CreateDataset.
|
com.google.cloud.automl.v1beta1.CreateModelOperationMetadata |
Details of CreateModel operation.
|
com.google.cloud.automl.v1beta1.CreateModelOperationMetadata.Builder |
Details of CreateModel operation.
|
com.google.cloud.automl.v1beta1.CreateModelRequest |
Request message for AutoMl.CreateModel.
|
com.google.cloud.automl.v1beta1.CreateModelRequest.Builder |
Request message for AutoMl.CreateModel.
|
com.google.cloud.automl.v1beta1.DataItems |
|
com.google.cloud.automl.v1beta1.DataStats |
The data statistics of a series of values that share the same DataType.
|
com.google.cloud.automl.v1beta1.DataStats.Builder |
The data statistics of a series of values that share the same DataType.
|
com.google.cloud.automl.v1beta1.DataStatsOuterClass |
|
com.google.cloud.automl.v1beta1.DataType |
Indicated the type of data that can be stored in a structured data entity
(e.g. a table).
|
com.google.cloud.automl.v1beta1.DataType.Builder |
Indicated the type of data that can be stored in a structured data entity
(e.g. a table).
|
com.google.cloud.automl.v1beta1.DataTypes |
|
com.google.cloud.automl.v1beta1.Dataset |
A workspace for solving a single, particular machine learning (ML) problem.
A workspace contains examples that may be annotated.
|
com.google.cloud.automl.v1beta1.Dataset.Builder |
A workspace for solving a single, particular machine learning (ML) problem.
A workspace contains examples that may be annotated.
|
com.google.cloud.automl.v1beta1.DatasetName |
|
com.google.cloud.automl.v1beta1.DatasetName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}. |
com.google.cloud.automl.v1beta1.DatasetOuterClass |
|
com.google.cloud.automl.v1beta1.DeleteDatasetRequest |
Request message for AutoMl.DeleteDataset.
|
com.google.cloud.automl.v1beta1.DeleteDatasetRequest.Builder |
Request message for AutoMl.DeleteDataset.
|
com.google.cloud.automl.v1beta1.DeleteModelRequest |
Request message for AutoMl.DeleteModel.
|
com.google.cloud.automl.v1beta1.DeleteModelRequest.Builder |
Request message for AutoMl.DeleteModel.
|
com.google.cloud.automl.v1beta1.DeleteOperationMetadata |
Details of operations that perform deletes of any entities.
|
com.google.cloud.automl.v1beta1.DeleteOperationMetadata.Builder |
Details of operations that perform deletes of any entities.
|
com.google.cloud.automl.v1beta1.DeployModelOperationMetadata |
Details of DeployModel operation.
|
com.google.cloud.automl.v1beta1.DeployModelOperationMetadata.Builder |
Details of DeployModel operation.
|
com.google.cloud.automl.v1beta1.DeployModelRequest |
Request message for AutoMl.DeployModel.
|
com.google.cloud.automl.v1beta1.DeployModelRequest.Builder |
Request message for AutoMl.DeployModel.
|
com.google.cloud.automl.v1beta1.Detection |
|
com.google.cloud.automl.v1beta1.Document |
A structured text document e.g. a PDF.
|
com.google.cloud.automl.v1beta1.Document.Builder |
A structured text document e.g. a PDF.
|
com.google.cloud.automl.v1beta1.Document.Layout |
Describes the layout information of a text_segment in the document.
|
com.google.cloud.automl.v1beta1.Document.Layout.Builder |
Describes the layout information of a text_segment in the document.
|
com.google.cloud.automl.v1beta1.DocumentDimensions |
Message that describes dimension of a document.
|
com.google.cloud.automl.v1beta1.DocumentDimensions.Builder |
Message that describes dimension of a document.
|
com.google.cloud.automl.v1beta1.DocumentInputConfig |
Input configuration of a Document.
|
com.google.cloud.automl.v1beta1.DocumentInputConfig.Builder |
Input configuration of a Document.
|
com.google.cloud.automl.v1beta1.DoubleRange |
A range between two double numbers.
|
com.google.cloud.automl.v1beta1.DoubleRange.Builder |
A range between two double numbers.
|
com.google.cloud.automl.v1beta1.ExamplePayload |
Example data used for training or prediction.
|
com.google.cloud.automl.v1beta1.ExamplePayload.Builder |
Example data used for training or prediction.
|
com.google.cloud.automl.v1beta1.ExportDataOperationMetadata |
Details of ExportData operation.
|
com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.Builder |
Details of ExportData operation.
|
com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo |
Further describes this export data's output.
Supplements
OutputConfig. |
com.google.cloud.automl.v1beta1.ExportDataOperationMetadata.ExportDataOutputInfo.Builder |
Further describes this export data's output.
Supplements
OutputConfig. |
com.google.cloud.automl.v1beta1.ExportDataRequest |
Request message for AutoMl.ExportData.
|
com.google.cloud.automl.v1beta1.ExportDataRequest.Builder |
Request message for AutoMl.ExportData.
|
com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata |
Details of EvaluatedExamples operation.
|
com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.Builder |
Details of EvaluatedExamples operation.
|
com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo |
Further describes the output of the evaluated examples export.
Supplements
|
com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOperationMetadata.ExportEvaluatedExamplesOutputInfo.Builder |
Further describes the output of the evaluated examples export.
Supplements
|
com.google.cloud.automl.v1beta1.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 |
com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesOutputConfig.Builder |
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 |
com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest |
Request message for AutoMl.ExportEvaluatedExamples.
|
com.google.cloud.automl.v1beta1.ExportEvaluatedExamplesRequest.Builder |
Request message for AutoMl.ExportEvaluatedExamples.
|
com.google.cloud.automl.v1beta1.ExportModelOperationMetadata |
Details of ExportModel operation.
|
com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.Builder |
Details of ExportModel operation.
|
com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo |
Further describes the output of model export.
Supplements
|
com.google.cloud.automl.v1beta1.ExportModelOperationMetadata.ExportModelOutputInfo.Builder |
Further describes the output of model export.
Supplements
|
com.google.cloud.automl.v1beta1.ExportModelRequest |
Request message for AutoMl.ExportModel.
Models need to be enabled for exporting, otherwise an error code will be
returned. |
com.google.cloud.automl.v1beta1.ExportModelRequest.Builder |
Request message for AutoMl.ExportModel.
Models need to be enabled for exporting, otherwise an error code will be
returned. |
com.google.cloud.automl.v1beta1.Float64Stats |
The data statistics of a series of FLOAT64 values.
|
com.google.cloud.automl.v1beta1.Float64Stats.Builder |
The data statistics of a series of FLOAT64 values.
|
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket |
A bucket of a histogram.
|
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder |
A bucket of a histogram.
|
com.google.cloud.automl.v1beta1.GcrDestination |
The GCR location where the image must be pushed to.
|
com.google.cloud.automl.v1beta1.GcrDestination.Builder |
The GCR location where the image must be pushed to.
|
com.google.cloud.automl.v1beta1.GcsDestination |
The Google Cloud Storage location where the output is to be written to.
|
com.google.cloud.automl.v1beta1.GcsDestination.Builder |
The Google Cloud Storage location where the output is to be written to.
|
com.google.cloud.automl.v1beta1.GcsSource |
The Google Cloud Storage location for the input content.
|
com.google.cloud.automl.v1beta1.GcsSource.Builder |
The Google Cloud Storage location for the input content.
|
com.google.cloud.automl.v1beta1.Geometry |
|
com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest |
Request message for AutoMl.GetAnnotationSpec.
|
com.google.cloud.automl.v1beta1.GetAnnotationSpecRequest.Builder |
Request message for AutoMl.GetAnnotationSpec.
|
com.google.cloud.automl.v1beta1.GetColumnSpecRequest |
Request message for AutoMl.GetColumnSpec.
|
com.google.cloud.automl.v1beta1.GetColumnSpecRequest.Builder |
Request message for AutoMl.GetColumnSpec.
|
com.google.cloud.automl.v1beta1.GetDatasetRequest |
Request message for AutoMl.GetDataset.
|
com.google.cloud.automl.v1beta1.GetDatasetRequest.Builder |
Request message for AutoMl.GetDataset.
|
com.google.cloud.automl.v1beta1.GetModelEvaluationRequest |
Request message for AutoMl.GetModelEvaluation.
|
com.google.cloud.automl.v1beta1.GetModelEvaluationRequest.Builder |
Request message for AutoMl.GetModelEvaluation.
|
com.google.cloud.automl.v1beta1.GetModelRequest |
Request message for AutoMl.GetModel.
|
com.google.cloud.automl.v1beta1.GetModelRequest.Builder |
Request message for AutoMl.GetModel.
|
com.google.cloud.automl.v1beta1.GetTableSpecRequest |
Request message for AutoMl.GetTableSpec.
|
com.google.cloud.automl.v1beta1.GetTableSpecRequest.Builder |
Request message for AutoMl.GetTableSpec.
|
com.google.cloud.automl.v1beta1.Image |
A representation of an image.
Only images up to 30MB in size are supported.
|
com.google.cloud.automl.v1beta1.Image.Builder |
A representation of an image.
Only images up to 30MB in size are supported.
|
com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata |
Dataset metadata that is specific to image classification.
|
com.google.cloud.automl.v1beta1.ImageClassificationDatasetMetadata.Builder |
Dataset metadata that is specific to image classification.
|
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata |
Model deployment metadata specific to Image Classification.
|
com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata.Builder |
Model deployment metadata specific to Image Classification.
|
com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata |
Model metadata for image classification.
|
com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder |
Model metadata for image classification.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation |
Annotation details for image object detection.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation.Builder |
Annotation details for image object detection.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata |
Dataset metadata specific to image object detection.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionDatasetMetadata.Builder |
Dataset metadata specific to image object detection.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics |
Model evaluation metrics for image object detection problems.
Evaluates prediction quality of labeled bounding boxes.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics.Builder |
Model evaluation metrics for image object detection problems.
Evaluates prediction quality of labeled bounding boxes.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata |
Model deployment metadata specific to Image Object Detection.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.Builder |
Model deployment metadata specific to Image Object Detection.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata |
Model metadata specific to image object detection.
|
com.google.cloud.automl.v1beta1.ImageObjectDetectionModelMetadata.Builder |
Model metadata specific to image object detection.
|
com.google.cloud.automl.v1beta1.ImageProto |
|
com.google.cloud.automl.v1beta1.ImportDataOperationMetadata |
Details of ImportData operation.
|
com.google.cloud.automl.v1beta1.ImportDataOperationMetadata.Builder |
Details of ImportData operation.
|
com.google.cloud.automl.v1beta1.ImportDataRequest |
Request message for AutoMl.ImportData.
|
com.google.cloud.automl.v1beta1.ImportDataRequest.Builder |
Request message for AutoMl.ImportData.
|
com.google.cloud.automl.v1beta1.InputConfig |
Input configuration for ImportData Action.
The format of input depends on dataset_metadata the Dataset into which |
com.google.cloud.automl.v1beta1.InputConfig.Builder |
Input configuration for ImportData Action.
The format of input depends on dataset_metadata the Dataset into which |
com.google.cloud.automl.v1beta1.Io |
|
com.google.cloud.automl.v1beta1.ListColumnSpecsRequest |
Request message for AutoMl.ListColumnSpecs.
|
com.google.cloud.automl.v1beta1.ListColumnSpecsRequest.Builder |
Request message for AutoMl.ListColumnSpecs.
|
com.google.cloud.automl.v1beta1.ListColumnSpecsResponse |
Response message for AutoMl.ListColumnSpecs.
|
com.google.cloud.automl.v1beta1.ListColumnSpecsResponse.Builder |
Response message for AutoMl.ListColumnSpecs.
|
com.google.cloud.automl.v1beta1.ListDatasetsRequest |
Request message for AutoMl.ListDatasets.
|
com.google.cloud.automl.v1beta1.ListDatasetsRequest.Builder |
Request message for AutoMl.ListDatasets.
|
com.google.cloud.automl.v1beta1.ListDatasetsResponse |
Response message for AutoMl.ListDatasets.
|
com.google.cloud.automl.v1beta1.ListDatasetsResponse.Builder |
Response message for AutoMl.ListDatasets.
|
com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest |
Request message for AutoMl.ListModelEvaluations.
|
com.google.cloud.automl.v1beta1.ListModelEvaluationsRequest.Builder |
Request message for AutoMl.ListModelEvaluations.
|
com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse |
Response message for AutoMl.ListModelEvaluations.
|
com.google.cloud.automl.v1beta1.ListModelEvaluationsResponse.Builder |
Response message for AutoMl.ListModelEvaluations.
|
com.google.cloud.automl.v1beta1.ListModelsRequest |
Request message for AutoMl.ListModels.
|
com.google.cloud.automl.v1beta1.ListModelsRequest.Builder |
Request message for AutoMl.ListModels.
|
com.google.cloud.automl.v1beta1.ListModelsResponse |
Response message for AutoMl.ListModels.
|
com.google.cloud.automl.v1beta1.ListModelsResponse.Builder |
Response message for AutoMl.ListModels.
|
com.google.cloud.automl.v1beta1.ListTableSpecsRequest |
Request message for AutoMl.ListTableSpecs.
|
com.google.cloud.automl.v1beta1.ListTableSpecsRequest.Builder |
Request message for AutoMl.ListTableSpecs.
|
com.google.cloud.automl.v1beta1.ListTableSpecsResponse |
Response message for AutoMl.ListTableSpecs.
|
com.google.cloud.automl.v1beta1.ListTableSpecsResponse.Builder |
Response message for AutoMl.ListTableSpecs.
|
com.google.cloud.automl.v1beta1.LocationName |
|
com.google.cloud.automl.v1beta1.LocationName.Builder |
Builder for projects/{project}/locations/{location}. |
com.google.cloud.automl.v1beta1.Model |
API proto representing a trained machine learning model.
|
com.google.cloud.automl.v1beta1.Model.Builder |
API proto representing a trained machine learning model.
|
com.google.cloud.automl.v1beta1.ModelEvaluation |
Evaluation results of a model.
|
com.google.cloud.automl.v1beta1.ModelEvaluation.Builder |
Evaluation results of a model.
|
com.google.cloud.automl.v1beta1.ModelEvaluationName |
|
com.google.cloud.automl.v1beta1.ModelEvaluationName.Builder |
Builder for
projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}. |
com.google.cloud.automl.v1beta1.ModelEvaluationOuterClass |
|
com.google.cloud.automl.v1beta1.ModelExportOutputConfig |
Output configuration for ModelExport Action.
|
com.google.cloud.automl.v1beta1.ModelExportOutputConfig.Builder |
Output configuration for ModelExport Action.
|
com.google.cloud.automl.v1beta1.ModelName |
|
com.google.cloud.automl.v1beta1.ModelName.Builder |
Builder for projects/{project}/locations/{location}/models/{model}. |
com.google.cloud.automl.v1beta1.ModelOuterClass |
|
com.google.cloud.automl.v1beta1.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 |
com.google.cloud.automl.v1beta1.NormalizedVertex.Builder |
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 |
com.google.cloud.automl.v1beta1.OperationMetadata |
Metadata used across all long running operations returned by AutoML API.
|
com.google.cloud.automl.v1beta1.OperationMetadata.Builder |
Metadata used across all long running operations returned by AutoML API.
|
com.google.cloud.automl.v1beta1.Operations |
|
com.google.cloud.automl.v1beta1.OutputConfig |
* For Translation:
CSV file translation.csv , with each line in format:
ML_USE,GCS_FILE_PATH |
com.google.cloud.automl.v1beta1.OutputConfig.Builder |
* For Translation:
CSV file translation.csv , with each line in format:
ML_USE,GCS_FILE_PATH |
com.google.cloud.automl.v1beta1.PredictRequest |
Request message for PredictionService.Predict.
|
com.google.cloud.automl.v1beta1.PredictRequest.Builder |
Request message for PredictionService.Predict.
|
com.google.cloud.automl.v1beta1.PredictResponse |
Response message for PredictionService.Predict.
|
com.google.cloud.automl.v1beta1.PredictResponse.Builder |
Response message for PredictionService.Predict.
|
com.google.cloud.automl.v1beta1.PredictionServiceGrpc |
AutoML Prediction API.
On any input that is documented to expect a string parameter in
snake_case or kebab-case, either of those cases is accepted. |
com.google.cloud.automl.v1beta1.PredictionServiceGrpc.PredictionServiceImplBase |
Base class for the server implementation of the service PredictionService.
AutoML Prediction API. |
com.google.cloud.automl.v1beta1.PredictionServiceProto |
|
com.google.cloud.automl.v1beta1.PredictionServiceSettings.Builder |
Builder for PredictionServiceSettings. |
com.google.cloud.automl.v1beta1.RangesProto |
|
com.google.cloud.automl.v1beta1.RegressionProto |
|
com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics |
Metrics for regression problems.
|
com.google.cloud.automl.v1beta1.RegressionProto.RegressionEvaluationMetrics.Builder |
Metrics for regression problems.
|
com.google.cloud.automl.v1beta1.Row |
A representation of a row in a relational table.
|
com.google.cloud.automl.v1beta1.Row.Builder |
A representation of a row in a relational table.
|
com.google.cloud.automl.v1beta1.StringStats |
The data statistics of a series of STRING values.
|
com.google.cloud.automl.v1beta1.StringStats.Builder |
The data statistics of a series of STRING values.
|
com.google.cloud.automl.v1beta1.StringStats.UnigramStats |
The statistics of a unigram.
|
com.google.cloud.automl.v1beta1.StringStats.UnigramStats.Builder |
The statistics of a unigram.
|
com.google.cloud.automl.v1beta1.StructStats |
The data statistics of a series of STRUCT values.
|
com.google.cloud.automl.v1beta1.StructStats.Builder |
The data statistics of a series of STRUCT values.
|
com.google.cloud.automl.v1beta1.StructType |
StructType defines the DataType-s of a STRUCT type.
|
com.google.cloud.automl.v1beta1.StructType.Builder |
StructType defines the DataType-s of a STRUCT type.
|
com.google.cloud.automl.v1beta1.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 |
com.google.cloud.automl.v1beta1.TableSpec.Builder |
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 |
com.google.cloud.automl.v1beta1.TableSpecName |
|
com.google.cloud.automl.v1beta1.TableSpecName.Builder |
Builder for projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}. |
com.google.cloud.automl.v1beta1.TableSpecOuterClass |
|
com.google.cloud.automl.v1beta1.Tables |
|
com.google.cloud.automl.v1beta1.TablesAnnotation |
Contains annotation details specific to Tables.
|
com.google.cloud.automl.v1beta1.TablesAnnotation.Builder |
Contains annotation details specific to Tables.
|
com.google.cloud.automl.v1beta1.TablesDatasetMetadata |
Metadata for a dataset used for AutoML Tables.
|
com.google.cloud.automl.v1beta1.TablesDatasetMetadata.Builder |
Metadata for a dataset used for AutoML Tables.
|
com.google.cloud.automl.v1beta1.TablesModelColumnInfo |
An information specific to given column and Tables Model, in context
of the Model and the predictions created by it.
|
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder |
An information specific to given column and Tables Model, in context
of the Model and the predictions created by it.
|
com.google.cloud.automl.v1beta1.TablesModelMetadata |
Model metadata specific to AutoML Tables.
|
com.google.cloud.automl.v1beta1.TablesModelMetadata.Builder |
Model metadata specific to AutoML Tables.
|
com.google.cloud.automl.v1beta1.Temporal |
|
com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata |
Dataset metadata for classification.
|
com.google.cloud.automl.v1beta1.TextClassificationDatasetMetadata.Builder |
Dataset metadata for classification.
|
com.google.cloud.automl.v1beta1.TextClassificationModelMetadata |
Model metadata that is specific to text classification.
|
com.google.cloud.automl.v1beta1.TextClassificationModelMetadata.Builder |
Model metadata that is specific to text classification.
|
com.google.cloud.automl.v1beta1.TextExtraction |
|
com.google.cloud.automl.v1beta1.TextExtractionAnnotation |
Annotation for identifying spans of text.
|
com.google.cloud.automl.v1beta1.TextExtractionAnnotation.Builder |
Annotation for identifying spans of text.
|
com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata |
Dataset metadata that is specific to text extraction
|
com.google.cloud.automl.v1beta1.TextExtractionDatasetMetadata.Builder |
Dataset metadata that is specific to text extraction
|
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics |
Model evaluation metrics for text extraction problems.
|
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder |
Model evaluation metrics for text extraction problems.
|
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.Builder |
Metrics for a single confidence threshold.
|
com.google.cloud.automl.v1beta1.TextExtractionModelMetadata |
Model metadata that is specific to text extraction.
|
com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder |
Model metadata that is specific to text extraction.
|
com.google.cloud.automl.v1beta1.TextProto |
|
com.google.cloud.automl.v1beta1.TextSegment |
A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
|
com.google.cloud.automl.v1beta1.TextSegment.Builder |
A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
|
com.google.cloud.automl.v1beta1.TextSegmentProto |
|
com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata |
Dataset metadata for text sentiment.
|
com.google.cloud.automl.v1beta1.TextSentimentDatasetMetadata.Builder |
Dataset metadata for text sentiment.
|
com.google.cloud.automl.v1beta1.TextSentimentModelMetadata |
Model metadata that is specific to text sentiment.
|
com.google.cloud.automl.v1beta1.TextSentimentModelMetadata.Builder |
Model metadata that is specific to text sentiment.
|
com.google.cloud.automl.v1beta1.TextSentimentProto |
|
com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation |
Contains annotation details specific to text sentiment.
|
com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder |
Contains annotation details specific to text sentiment.
|
com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics |
Model evaluation metrics for text sentiment problems.
|
com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
Model evaluation metrics for text sentiment problems.
|
com.google.cloud.automl.v1beta1.TextSnippet |
A representation of a text snippet.
|
com.google.cloud.automl.v1beta1.TextSnippet.Builder |
A representation of a text snippet.
|
com.google.cloud.automl.v1beta1.TimeSegment |
A time period inside of an example that has a time dimension (e.g. video).
|
com.google.cloud.automl.v1beta1.TimeSegment.Builder |
A time period inside of an example that has a time dimension (e.g. video).
|
com.google.cloud.automl.v1beta1.TimestampStats |
The data statistics of a series of TIMESTAMP values.
|
com.google.cloud.automl.v1beta1.TimestampStats.Builder |
The data statistics of a series of TIMESTAMP values.
|
com.google.cloud.automl.v1beta1.TimestampStats.GranularStats |
Stats split by a defined in context granularity.
|
com.google.cloud.automl.v1beta1.TimestampStats.GranularStats.Builder |
Stats split by a defined in context granularity.
|
com.google.cloud.automl.v1beta1.TranslationAnnotation |
Annotation details specific to translation.
|
com.google.cloud.automl.v1beta1.TranslationAnnotation.Builder |
Annotation details specific to translation.
|
com.google.cloud.automl.v1beta1.TranslationDatasetMetadata |
Dataset metadata that is specific to translation.
|
com.google.cloud.automl.v1beta1.TranslationDatasetMetadata.Builder |
Dataset metadata that is specific to translation.
|
com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics |
Evaluation metrics for the dataset.
|
com.google.cloud.automl.v1beta1.TranslationEvaluationMetrics.Builder |
Evaluation metrics for the dataset.
|
com.google.cloud.automl.v1beta1.TranslationModelMetadata |
Model metadata that is specific to translation.
|
com.google.cloud.automl.v1beta1.TranslationModelMetadata.Builder |
Model metadata that is specific to translation.
|
com.google.cloud.automl.v1beta1.TranslationProto |
|
com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata |
Details of UndeployModel operation.
|
com.google.cloud.automl.v1beta1.UndeployModelOperationMetadata.Builder |
Details of UndeployModel operation.
|
com.google.cloud.automl.v1beta1.UndeployModelRequest |
Request message for AutoMl.UndeployModel.
|
com.google.cloud.automl.v1beta1.UndeployModelRequest.Builder |
Request message for AutoMl.UndeployModel.
|
com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest |
Request message for AutoMl.UpdateColumnSpec
|
com.google.cloud.automl.v1beta1.UpdateColumnSpecRequest.Builder |
Request message for AutoMl.UpdateColumnSpec
|
com.google.cloud.automl.v1beta1.UpdateDatasetRequest |
Request message for AutoMl.UpdateDataset
|
com.google.cloud.automl.v1beta1.UpdateDatasetRequest.Builder |
Request message for AutoMl.UpdateDataset
|
com.google.cloud.automl.v1beta1.UpdateTableSpecRequest |
Request message for AutoMl.UpdateTableSpec
|
com.google.cloud.automl.v1beta1.UpdateTableSpecRequest.Builder |
Request message for AutoMl.UpdateTableSpec
|
com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata |
Dataset metadata specific to video classification.
All Video Classification datasets are treated as multi label.
|
com.google.cloud.automl.v1beta1.VideoClassificationDatasetMetadata.Builder |
Dataset metadata specific to video classification.
All Video Classification datasets are treated as multi label.
|
com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata |
Model metadata specific to video classification.
|
com.google.cloud.automl.v1beta1.VideoClassificationModelMetadata.Builder |
Model metadata specific to video classification.
|
com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation |
Annotation details for video object tracking.
|
com.google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation.Builder |
Annotation details for video object tracking.
|
com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata |
Dataset metadata specific to video object tracking.
|
com.google.cloud.automl.v1beta1.VideoObjectTrackingDatasetMetadata.Builder |
Dataset metadata specific to video object tracking.
|
com.google.cloud.automl.v1beta1.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). |
com.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics.Builder |
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). |
com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata |
Model metadata specific to video object tracking.
|
com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata.Builder |
Model metadata specific to video object tracking.
|
com.google.cloud.automl.v1beta1.VideoProto |
|