| Class | Description |
|---|---|
| AnalyzeEntitiesRequest |
The entity analysis request message.
|
| AnalyzeEntitiesResponse |
The entity analysis response message.
|
| AnalyzeSentimentRequest |
The sentiment analysis request message.
|
| AnalyzeSentimentResponse |
The sentiment analysis response message.
|
| AnnotateTextRequest |
The request message for the text annotation API, which can perform multiple analysis types in one
call.
|
| AnnotateTextRequestFeatures |
All available features.
|
| AnnotateTextResponse |
The text annotations response message.
|
| ClassificationCategory |
Represents a category returned from the text classifier.
|
| ClassifyTextRequest |
The document classification request message.
|
| ClassifyTextResponse |
The document classification response message.
|
| Color |
Represents a color in the RGBA color space.
|
| CpuMetric |
Metric for billing reports.
|
| DiskMetric |
Model definition for DiskMetric.
|
| Document |
Represents the input to API methods.
|
| Entity |
Represents a phrase in the text that is a known entity, such as a person, an organization, or
location.
|
| EntityMention |
Represents a mention for an entity in the text.
|
| GpuMetric |
Model definition for GpuMetric.
|
| InfraUsage |
LINT: LEGACY_NAMES Infra Usage of billing metrics.
|
| ModerateTextRequest |
The document moderation request message.
|
| ModerateTextResponse |
The document moderation response message.
|
| RamMetric |
Model definition for RamMetric.
|
| Sentence |
Represents a sentence in the input document.
|
| Sentiment |
Represents the feeling associated with the entire text or entities in the text.
|
| Status |
The `Status` type defines a logical error model that is suitable for different programming
environments, including REST APIs and RPC APIs.
|
| TextSpan |
Represents a text span in the input document.
|
| TpuMetric |
Model definition for TpuMetric.
|
| XPSArrayStats |
The data statistics of a series of ARRAY values.
|
| XPSBatchPredictResponse |
Model definition for XPSBatchPredictResponse.
|
| XPSBoundingBoxMetricsEntry |
Bounding box matching model metrics for a single intersection-over-union threshold and multiple
label match confidence thresholds.
|
| XPSBoundingBoxMetricsEntryConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
| XPSCategoryStats |
The data statistics of a series of CATEGORY values.
|
| XPSCategoryStatsSingleCategoryStats |
The statistics of a single CATEGORY value.
|
| XPSClassificationEvaluationMetrics |
Model evaluation metrics for classification problems.
|
| XPSColorMap |
Map from color to display name.
|
| XPSColorMapIntColor |
RGB color and each channel is represented by an integer.
|
| XPSColumnSpec |
Model definition for XPSColumnSpec.
|
| XPSColumnSpecCorrelatedColumn |
Identifies a table's column, and its correlation with the column this ColumnSpec describes.
|
| XPSColumnSpecForecastingMetadata |
Model definition for XPSColumnSpecForecastingMetadata.
|
| XPSCommonStats |
Common statistics for a column with a specified data type.
|
| XPSConfidenceMetricsEntry |
ConfidenceMetricsEntry includes generic precision, recall, f1 score etc.
|
| XPSConfusionMatrix |
Confusion matrix of the model running the classification.
|
| XPSConfusionMatrixRow |
A row in the confusion matrix.
|
| XPSCoreMlFormat |
A model format used for iOS mobile devices.
|
| XPSCorrelationStats |
A correlation statistics between two series of DataType values.
|
| XPSDataErrors |
Different types of errors and the stats associatesd with each error.
|
| XPSDataStats |
The data statistics of a series of values that share the same DataType.
|
| XPSDataType |
Indicated the type of data that can be stored in a structured data entity (e.g.
|
| XPSDockerFormat |
A model format used for Docker containers.
|
| XPSEdgeTpuTfLiteFormat |
A model format used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
|
| XPSEvaluationMetrics |
Contains xPS-specific model evaluation metrics either for a single annotation spec (label), or
for the model overall.
|
| XPSEvaluationMetricsSet |
Specifies location of model evaluation metrics.
|
| XPSExampleSet |
Set of examples or input sources.
|
| XPSExportModelOutputConfig |
Model definition for XPSExportModelOutputConfig.
|
| XPSFileSpec |
Spec of input and output files, on external file systems (for example, Colossus Namespace System
or Google Cloud Storage).
|
| XPSFloat64Stats |
The data statistics of a series of FLOAT64 values.
|
| XPSFloat64StatsHistogramBucket |
A bucket of a histogram.
|
| XPSImageClassificationTrainResponse |
Model definition for XPSImageClassificationTrainResponse.
|
| XPSImageExportModelSpec |
Information of downloadable models that are pre-generated as part of training flow and will be
persisted in AutoMl backend.
|
| XPSImageModelArtifactSpec |
Stores the locations and related metadata of the model artifacts.
|
| XPSImageModelServingSpec |
Serving specification for image models.
|
| XPSImageModelServingSpecModelThroughputEstimation |
Model definition for XPSImageModelServingSpecModelThroughputEstimation.
|
| XPSImageObjectDetectionEvaluationMetrics |
Model evaluation metrics for image object detection problems.
|
| XPSImageObjectDetectionModelSpec |
Model definition for XPSImageObjectDetectionModelSpec.
|
| XPSImageSegmentationEvaluationMetrics |
Model evaluation metrics for image segmentation problems.
|
| XPSImageSegmentationEvaluationMetricsConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
| XPSImageSegmentationTrainResponse |
Model definition for XPSImageSegmentationTrainResponse.
|
| XPSIntegratedGradientsAttribution |
An attribution method that computes the Aumann-Shapley value taking advantage of the model's
fully differentiable structure.
|
| XPSMetricEntry |
Model definition for XPSMetricEntry.
|
| XPSMetricEntryLabel |
Model definition for XPSMetricEntryLabel.
|
| XPSModelArtifactItem |
A single model artifact item.
|
| XPSPreprocessResponse |
Model definition for XPSPreprocessResponse.
|
| XPSRegressionEvaluationMetrics |
Model evaluation metrics for regression problems.
|
| XPSRegressionMetricsEntry |
A pair of actual & observed values for the model being evaluated.
|
| XPSReportingMetrics |
Model definition for XPSReportingMetrics.
|
| XPSResponseExplanationMetadata |
Model definition for XPSResponseExplanationMetadata.
|
| XPSResponseExplanationMetadataInputMetadata |
Metadata of the input of a feature.
|
| XPSResponseExplanationMetadataOutputMetadata |
Metadata of the prediction output to be explained.
|
| XPSResponseExplanationParameters |
Model definition for XPSResponseExplanationParameters.
|
| XPSResponseExplanationSpec |
Specification of Model explanation.
|
| XPSRow |
Model definition for XPSRow.
|
| XPSSpeechEvaluationMetrics |
Model definition for XPSSpeechEvaluationMetrics.
|
| XPSSpeechEvaluationMetricsSubModelEvaluationMetric |
Model definition for XPSSpeechEvaluationMetricsSubModelEvaluationMetric.
|
| XPSSpeechModelSpec |
Model definition for XPSSpeechModelSpec.
|
| XPSSpeechModelSpecSubModelSpec |
Model definition for XPSSpeechModelSpecSubModelSpec.
|
| XPSSpeechPreprocessResponse |
Model definition for XPSSpeechPreprocessResponse.
|
| XPSSpeechPreprocessStats |
Model definition for XPSSpeechPreprocessStats.
|
| XPSStringStats |
The data statistics of a series of STRING values.
|
| XPSStringStatsUnigramStats |
The statistics of a unigram.
|
| XPSStructStats |
The data statistics of a series of STRUCT values.
|
| XPSStructType |
`StructType` defines the DataType-s of a STRUCT type.
|
| XPSTablesClassificationMetrics |
Metrics for Tables classification problems.
|
| XPSTablesClassificationMetricsCurveMetrics |
Metrics curve data point for a single value.
|
| XPSTablesConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
| XPSTablesDatasetMetadata |
Metadata for a dataset used for AutoML Tables.
|
| XPSTablesEvaluationMetrics |
Model definition for XPSTablesEvaluationMetrics.
|
| XPSTablesModelColumnInfo |
An information specific to given column and Tables Model, in context of the Model and the
predictions created by it.
|
| XPSTablesModelStructure |
A description of Tables model structure.
|
| XPSTablesModelStructureModelParameters |
Model hyper-parameters for a model.
|
| XPSTablesModelStructureModelParametersParameter |
Model definition for XPSTablesModelStructureModelParametersParameter.
|
| XPSTableSpec |
Model definition for XPSTableSpec.
|
| XPSTablesPreprocessResponse |
Model definition for XPSTablesPreprocessResponse.
|
| XPSTablesRegressionMetrics |
Metrics for Tables regression problems.
|
| XPSTablesTrainingOperationMetadata |
Model definition for XPSTablesTrainingOperationMetadata.
|
| XPSTablesTrainResponse |
Model definition for XPSTablesTrainResponse.
|
| XPSTextComponentModel |
Component model.
|
| XPSTextExtractionEvaluationMetrics |
Model definition for XPSTextExtractionEvaluationMetrics.
|
| XPSTextSentimentEvaluationMetrics |
Model evaluation metrics for text sentiment problems.
|
| XPSTextToSpeechTrainResponse |
TextToSpeech train response
|
| XPSTextTrainResponse |
Model definition for XPSTextTrainResponse.
|
| XPSTfJsFormat |
A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used in the browser and in
Node.js using JavaScript.
|
| XPSTfLiteFormat |
LINT.IfChange A model format used for mobile and IoT devices.
|
| XPSTfSavedModelFormat |
A tensorflow model format in SavedModel format.
|
| XPSTimestampStats |
The data statistics of a series of TIMESTAMP values.
|
| XPSTimestampStatsGranularStats |
Stats split by a defined in context granularity.
|
| XPSTrackMetricsEntry |
Track matching model metrics for a single track match threshold and multiple label match
confidence thresholds.
|
| XPSTrackMetricsEntryConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
| XPSTrainingObjectivePoint |
Model definition for XPSTrainingObjectivePoint.
|
| XPSTrainResponse |
Model definition for XPSTrainResponse.
|
| XPSTranslationEvaluationMetrics |
Evaluation metrics for the dataset.
|
| XPSTranslationPreprocessResponse |
Translation preprocess response.
|
| XPSTranslationTrainResponse |
Train response for translation.
|
| XPSTuningTrial |
Metrics for a tuning job generated, will get forwarded to Stackdriver as model tuning logs.
|
| XPSVideoActionMetricsEntry |
The Evaluation metrics entry given a specific precision_window_length.
|
| XPSVideoActionMetricsEntryConfidenceMetricsEntry |
Metrics for a single confidence threshold.
|
| XPSVideoActionRecognitionEvaluationMetrics |
Model evaluation metrics for video action recognition.
|
| XPSVideoActionRecognitionTrainResponse |
Model definition for XPSVideoActionRecognitionTrainResponse.
|
| XPSVideoBatchPredictOperationMetadata |
Model definition for XPSVideoBatchPredictOperationMetadata.
|
| XPSVideoClassificationTrainResponse |
Model definition for XPSVideoClassificationTrainResponse.
|
| XPSVideoExportModelSpec |
Information of downloadable models that are pre-generated as part of training flow and will be
persisted in AutoMl backend.
|
| XPSVideoModelArtifactSpec |
Model definition for XPSVideoModelArtifactSpec.
|
| XPSVideoObjectTrackingEvaluationMetrics |
Model evaluation metrics for ObjectTracking problems.
|
| XPSVideoObjectTrackingTrainResponse |
Model definition for XPSVideoObjectTrackingTrainResponse.
|
| XPSVideoTrainingOperationMetadata |
Model definition for XPSVideoTrainingOperationMetadata.
|
| XPSVisionErrorAnalysisConfig |
The vision model error analysis configuration.
|
| XPSVisionTrainingOperationMetadata |
Model definition for XPSVisionTrainingOperationMetadata.
|
| XPSVisualization |
Visualization configurations for image explanation.
|
| XPSXpsOperationMetadata |
Model definition for XPSXpsOperationMetadata.
|
| XPSXraiAttribution |
An explanation method that redistributes Integrated Gradients attributions to segmented regions,
taking advantage of the model's fully differentiable structure.
|
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