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§
- Annotation
Payload - Contains annotation information that is relevant to AutoML.
- Annotation
Spec - A definition of an annotation spec.
- Batch
Predict Input Config - Input configuration for BatchPredict Action.
- Batch
Predict Operation Metadata - Details of BatchPredict operation.
- Batch
Predict Output Config - Output configuration for BatchPredict Action.
- Batch
Predict Request - Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
- Batch
Predict Result - 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].
- Bounding
BoxMetrics Entry - Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.
- Bounding
Poly - 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.
- Classification
Annotation - Contains annotation details specific to classification.
- Classification
Evaluation Metrics - Model evaluation metrics for classification problems. Note: For Video Classification this metrics only describe quality of the Video Classification predictions of “segment_classification” type.
- Create
Dataset Operation Metadata - Details of CreateDataset operation.
- Create
Dataset Request - Request message for [AutoMl.CreateDataset][google.cloud.automl.v1.AutoMl.CreateDataset].
- Create
Model Operation Metadata - Details of CreateModel operation.
- Create
Model Request - 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.
- Delete
Dataset Request - Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1.AutoMl.DeleteDataset].
- Delete
Model Request - Request message for [AutoMl.DeleteModel][google.cloud.automl.v1.AutoMl.DeleteModel].
- Delete
Operation Metadata - Details of operations that perform deletes of any entities.
- Deploy
Model Operation Metadata - Details of DeployModel operation.
- Deploy
Model Request - Request message for [AutoMl.DeployModel][google.cloud.automl.v1.AutoMl.DeployModel].
- Document
- A structured text document e.g. a PDF.
- Document
Dimensions - Message that describes dimension of a document.
- Document
Input Config - Input configuration of a [Document][google.cloud.automl.v1.Document].
- Example
Payload - Example data used for training or prediction.
- Export
Data Operation Metadata - Details of ExportData operation.
- Export
Data Request - Request message for [AutoMl.ExportData][google.cloud.automl.v1.AutoMl.ExportData].
- Export
Model Operation Metadata - Details of ExportModel operation.
- Export
Model Request - 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.
- GetAnnotation
Spec Request - Request message for [AutoMl.GetAnnotationSpec][google.cloud.automl.v1.AutoMl.GetAnnotationSpec].
- GetDataset
Request - Request message for [AutoMl.GetDataset][google.cloud.automl.v1.AutoMl.GetDataset].
- GetModel
Evaluation Request - Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1.AutoMl.GetModelEvaluation].
- GetModel
Request - 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.
- Image
Classification Dataset Metadata - Dataset metadata that is specific to image classification.
- Image
Classification Model Deployment Metadata - Model deployment metadata specific to Image Classification.
- Image
Classification Model Metadata - Model metadata for image classification.
- Image
Object Detection Annotation - Annotation details for image object detection.
- Image
Object Detection Dataset Metadata - Dataset metadata specific to image object detection.
- Image
Object Detection Evaluation Metrics - Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.
- Image
Object Detection Model Deployment Metadata - Model deployment metadata specific to Image Object Detection.
- Image
Object Detection Model Metadata - Model metadata specific to image object detection.
- Import
Data Operation Metadata - Details of ImportData operation.
- Import
Data Request - Request message for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData].
- Input
Config - Input configuration for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData] action.
- List
Datasets Request - Request message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].
- List
Datasets Response - Response message for [AutoMl.ListDatasets][google.cloud.automl.v1.AutoMl.ListDatasets].
- List
Model Evaluations Request - Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].
- List
Model Evaluations Response - Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1.AutoMl.ListModelEvaluations].
- List
Models Request - Request message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].
- List
Models Response - Response message for [AutoMl.ListModels][google.cloud.automl.v1.AutoMl.ListModels].
- Model
- API proto representing a trained machine learning model.
- Model
Evaluation - Evaluation results of a model.
- Model
Export Output Config - Output configuration for ModelExport Action.
- Normalized
Vertex - 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.
- Operation
Metadata - Metadata used across all long running operations returned by AutoML API.
- Output
Config - 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: - Predict
Request - Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
- Predict
Response - Response message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
- Text
Classification Dataset Metadata - Dataset metadata for classification.
- Text
Classification Model Metadata - Model metadata that is specific to text classification.
- Text
Extraction Annotation - Annotation for identifying spans of text.
- Text
Extraction Dataset Metadata - Dataset metadata that is specific to text extraction
- Text
Extraction Evaluation Metrics - Model evaluation metrics for text extraction problems.
- Text
Extraction Model Metadata - Model metadata that is specific to text extraction.
- Text
Segment - A contiguous part of a text (string), assuming it has an UTF-8 NFC encoding.
- Text
Sentiment Annotation - Contains annotation details specific to text sentiment.
- Text
Sentiment Dataset Metadata - Dataset metadata for text sentiment.
- Text
Sentiment Evaluation Metrics - Model evaluation metrics for text sentiment problems.
- Text
Sentiment Model Metadata - Model metadata that is specific to text sentiment.
- Text
Snippet - A representation of a text snippet.
- Translation
Annotation - Annotation details specific to translation.
- Translation
Dataset Metadata - Dataset metadata that is specific to translation.
- Translation
Evaluation Metrics - Evaluation metrics for the dataset.
- Translation
Model Metadata - Model metadata that is specific to translation.
- Undeploy
Model Operation Metadata - Details of UndeployModel operation.
- Undeploy
Model Request - Request message for [AutoMl.UndeployModel][google.cloud.automl.v1.AutoMl.UndeployModel].
- Update
Dataset Request - Request message for [AutoMl.UpdateDataset][google.cloud.automl.v1.AutoMl.UpdateDataset]
- Update
Model Request - Request message for [AutoMl.UpdateModel][google.cloud.automl.v1.AutoMl.UpdateModel]
Enums§
- Classification
Type - Type of the classification problem.