Package | Description |
---|---|
com.google.api.services.language.v2 | |
com.google.api.services.language.v2.model |
Class and Description |
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AnalyzeEntitiesRequest
The entity analysis request message.
|
AnalyzeSentimentRequest
The sentiment analysis request message.
|
AnnotateTextRequest
The request message for the text annotation API, which can perform multiple analysis types in one
call.
|
ClassifyTextRequest
The document classification request message.
|
ModerateTextRequest
The document moderation request message.
|
Class and 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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