Package com.google.cloud.vertexai.api (1.4.0)
GitHub Repository |
Client Classes
Client classes are the main entry point to using a package. They contain several variations of Java methods for each of the API's methods.
Client | Description |
---|---|
com.google.cloud.vertexai.api.EndpointServiceClient |
Service Description: A service for managing Vertex AI's Endpoints.
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started: |
com.google.cloud.vertexai.api.LlmUtilityServiceClient |
Service Description: Service for LLM related utility functions.
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started: |
com.google.cloud.vertexai.api.PredictionServiceClient |
Service Description: A service for online predictions and explanations.
This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started: |
Settings Classes
Settings classes can be used to configure credentials, endpoints, and retry settings for a Client.
Settings | Description |
---|---|
com.google.cloud.vertexai.api.EndpointServiceSettings |
Settings class to configure an instance of EndpointServiceClient.
The default instance has everything set to sensible defaults: |
com.google.cloud.vertexai.api.LlmUtilityServiceSettings |
Settings class to configure an instance of LlmUtilityServiceClient.
The default instance has everything set to sensible defaults: |
com.google.cloud.vertexai.api.PredictionServiceSettings |
Settings class to configure an instance of PredictionServiceClient.
The default instance has everything set to sensible defaults: |
Classes
Class | Description |
---|---|
com.google.cloud.vertexai.api.AcceleratorTypeProto | |
com.google.cloud.vertexai.api.Attribution | Attribution that explains a particular prediction output. |
com.google.cloud.vertexai.api.Attribution.Builder | Attribution that explains a particular prediction output. |
com.google.cloud.vertexai.api.AutomaticResources | A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Each Model supporting these resources documents its specific guidelines. |
com.google.cloud.vertexai.api.AutomaticResources.Builder | A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Each Model supporting these resources documents its specific guidelines. |
com.google.cloud.vertexai.api.AutoscalingMetricSpec | The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count. |
com.google.cloud.vertexai.api.AutoscalingMetricSpec.Builder | The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count. |
com.google.cloud.vertexai.api.AvroSource | The storage details for Avro input content. |
com.google.cloud.vertexai.api.AvroSource.Builder | The storage details for Avro input content. |
com.google.cloud.vertexai.api.BatchDedicatedResources | A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration. |
com.google.cloud.vertexai.api.BatchDedicatedResources.Builder | A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration. |
com.google.cloud.vertexai.api.BigQueryDestination | The BigQuery location for the output content. |
com.google.cloud.vertexai.api.BigQueryDestination.Builder | The BigQuery location for the output content. |
com.google.cloud.vertexai.api.BigQuerySource | The BigQuery location for the input content. |
com.google.cloud.vertexai.api.BigQuerySource.Builder | The BigQuery location for the input content. |
com.google.cloud.vertexai.api.Blob | Content blob. It's preferred to send as text |
com.google.cloud.vertexai.api.Blob.Builder | Content blob. It's preferred to send as text |
com.google.cloud.vertexai.api.BlurBaselineConfig | Config for blur baseline. When enabled, a linear path from the maximally blurred image to the input |
com.google.cloud.vertexai.api.BlurBaselineConfig.Builder | Config for blur baseline. When enabled, a linear path from the maximally blurred image to the input |
com.google.cloud.vertexai.api.BoolArray | A list of boolean values. |
com.google.cloud.vertexai.api.BoolArray.Builder | A list of boolean values. |
com.google.cloud.vertexai.api.Candidate | A response candidate generated from the model. |
com.google.cloud.vertexai.api.Candidate.Builder | A response candidate generated from the model. |
com.google.cloud.vertexai.api.Citation | Source attributions for content. |
com.google.cloud.vertexai.api.Citation.Builder | Source attributions for content. |
com.google.cloud.vertexai.api.CitationMetadata | A collection of source attributions for a piece of content. |
com.google.cloud.vertexai.api.CitationMetadata.Builder | A collection of source attributions for a piece of content. |
com.google.cloud.vertexai.api.ComputeTokensRequest | Request message for ComputeTokens RPC call. |
com.google.cloud.vertexai.api.ComputeTokensRequest.Builder | Request message for ComputeTokens RPC call. |
com.google.cloud.vertexai.api.ComputeTokensResponse | Response message for ComputeTokens RPC call. |
com.google.cloud.vertexai.api.ComputeTokensResponse.Builder | Response message for ComputeTokens RPC call. |
com.google.cloud.vertexai.api.ContainerRegistryDestination | The Container Registry location for the container image. |
com.google.cloud.vertexai.api.ContainerRegistryDestination.Builder | The Container Registry location for the container image. |
com.google.cloud.vertexai.api.Content |
The base structured datatype containing multi-part content of a message.
A Content includes a role field designating the producer of the Content |
com.google.cloud.vertexai.api.Content.Builder |
The base structured datatype containing multi-part content of a message.
A Content includes a role field designating the producer of the Content |
com.google.cloud.vertexai.api.ContentProto | |
com.google.cloud.vertexai.api.CountTokensRequest | Request message for [PredictionService.CountTokens][]. |
com.google.cloud.vertexai.api.CountTokensRequest.Builder | Request message for [PredictionService.CountTokens][]. |
com.google.cloud.vertexai.api.CountTokensResponse | Response message for [PredictionService.CountTokens][]. |
com.google.cloud.vertexai.api.CountTokensResponse.Builder | Response message for [PredictionService.CountTokens][]. |
com.google.cloud.vertexai.api.CreateEndpointOperationMetadata | Runtime operation information for EndpointService.CreateEndpoint. |
com.google.cloud.vertexai.api.CreateEndpointOperationMetadata.Builder | Runtime operation information for EndpointService.CreateEndpoint. |
com.google.cloud.vertexai.api.CreateEndpointRequest | Request message for EndpointService.CreateEndpoint. |
com.google.cloud.vertexai.api.CreateEndpointRequest.Builder | Request message for EndpointService.CreateEndpoint. |
com.google.cloud.vertexai.api.CsvDestination | The storage details for CSV output content. |
com.google.cloud.vertexai.api.CsvDestination.Builder | The storage details for CSV output content. |
com.google.cloud.vertexai.api.CsvSource | The storage details for CSV input content. |
com.google.cloud.vertexai.api.CsvSource.Builder | The storage details for CSV input content. |
com.google.cloud.vertexai.api.DedicatedResources | A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration. |
com.google.cloud.vertexai.api.DedicatedResources.Builder | A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration. |
com.google.cloud.vertexai.api.DeleteEndpointRequest | Request message for EndpointService.DeleteEndpoint. |
com.google.cloud.vertexai.api.DeleteEndpointRequest.Builder | Request message for EndpointService.DeleteEndpoint. |
com.google.cloud.vertexai.api.DeleteOperationMetadata | Details of operations that perform deletes of any entities. |
com.google.cloud.vertexai.api.DeleteOperationMetadata.Builder | Details of operations that perform deletes of any entities. |
com.google.cloud.vertexai.api.DeployModelOperationMetadata | Runtime operation information for EndpointService.DeployModel. |
com.google.cloud.vertexai.api.DeployModelOperationMetadata.Builder | Runtime operation information for EndpointService.DeployModel. |
com.google.cloud.vertexai.api.DeployModelRequest | Request message for EndpointService.DeployModel. |
com.google.cloud.vertexai.api.DeployModelRequest.Builder | Request message for EndpointService.DeployModel. |
com.google.cloud.vertexai.api.DeployModelResponse | Response message for EndpointService.DeployModel. |
com.google.cloud.vertexai.api.DeployModelResponse.Builder | Response message for EndpointService.DeployModel. |
com.google.cloud.vertexai.api.DeployedModel | A deployment of a Model. Endpoints contain one or more DeployedModels. |
com.google.cloud.vertexai.api.DeployedModel.Builder | A deployment of a Model. Endpoints contain one or more DeployedModels. |
com.google.cloud.vertexai.api.DirectPredictRequest | Request message for PredictionService.DirectPredict. |
com.google.cloud.vertexai.api.DirectPredictRequest.Builder | Request message for PredictionService.DirectPredict. |
com.google.cloud.vertexai.api.DirectPredictResponse | Response message for PredictionService.DirectPredict. |
com.google.cloud.vertexai.api.DirectPredictResponse.Builder | Response message for PredictionService.DirectPredict. |
com.google.cloud.vertexai.api.DirectRawPredictRequest | Request message for PredictionService.DirectRawPredict. |
com.google.cloud.vertexai.api.DirectRawPredictRequest.Builder | Request message for PredictionService.DirectRawPredict. |
com.google.cloud.vertexai.api.DirectRawPredictResponse | Response message for PredictionService.DirectRawPredict. |
com.google.cloud.vertexai.api.DirectRawPredictResponse.Builder | Response message for PredictionService.DirectRawPredict. |
com.google.cloud.vertexai.api.DiskSpec | Represents the spec of disk options. |
com.google.cloud.vertexai.api.DiskSpec.Builder | Represents the spec of disk options. |
com.google.cloud.vertexai.api.DoubleArray | A list of double values. |
com.google.cloud.vertexai.api.DoubleArray.Builder | A list of double values. |
com.google.cloud.vertexai.api.EncryptionSpec | Represents a customer-managed encryption key spec that can be applied to a top-level resource. |
com.google.cloud.vertexai.api.EncryptionSpec.Builder | Represents a customer-managed encryption key spec that can be applied to a top-level resource. |
com.google.cloud.vertexai.api.EncryptionSpecProto | |
com.google.cloud.vertexai.api.Endpoint | Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations. |
com.google.cloud.vertexai.api.Endpoint.Builder | Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations. |
com.google.cloud.vertexai.api.EndpointName | |
com.google.cloud.vertexai.api.EndpointName.Builder | Builder for projects/{project}/locations/{location}/endpoints/{endpoint}. |
com.google.cloud.vertexai.api.EndpointName.ProjectLocationPublisherModelBuilder | Builder for projects/{project}/locations/{location}/publishers/{publisher}/models/{model}. |
com.google.cloud.vertexai.api.EndpointProto | |
com.google.cloud.vertexai.api.EndpointServiceClient.ListEndpointsFixedSizeCollection | |
com.google.cloud.vertexai.api.EndpointServiceClient.ListEndpointsPage | |
com.google.cloud.vertexai.api.EndpointServiceClient.ListEndpointsPagedResponse | |
com.google.cloud.vertexai.api.EndpointServiceClient.ListLocationsFixedSizeCollection | |
com.google.cloud.vertexai.api.EndpointServiceClient.ListLocationsPage | |
com.google.cloud.vertexai.api.EndpointServiceClient.ListLocationsPagedResponse | |
com.google.cloud.vertexai.api.EndpointServiceGrpc | A service for managing Vertex AI's Endpoints. |
com.google.cloud.vertexai.api.EndpointServiceGrpc.EndpointServiceImplBase | Base class for the server implementation of the service EndpointService. A service for managing Vertex AI's Endpoints. |
com.google.cloud.vertexai.api.EndpointServiceProto | |
com.google.cloud.vertexai.api.EndpointServiceSettings.Builder | Builder for EndpointServiceSettings. |
com.google.cloud.vertexai.api.Examples | Example-based explainability that returns the nearest neighbors from the provided dataset. |
com.google.cloud.vertexai.api.Examples.Builder | Example-based explainability that returns the nearest neighbors from the provided dataset. |
com.google.cloud.vertexai.api.Examples.ExampleGcsSource | The Cloud Storage input instances. |
com.google.cloud.vertexai.api.Examples.ExampleGcsSource.Builder | The Cloud Storage input instances. |
com.google.cloud.vertexai.api.ExamplesOverride | Overrides for example-based explanations. |
com.google.cloud.vertexai.api.ExamplesOverride.Builder | Overrides for example-based explanations. |
com.google.cloud.vertexai.api.ExamplesRestrictionsNamespace | Restrictions namespace for example-based explanations overrides. |
com.google.cloud.vertexai.api.ExamplesRestrictionsNamespace.Builder | Restrictions namespace for example-based explanations overrides. |
com.google.cloud.vertexai.api.ExplainRequest | Request message for PredictionService.Explain. |
com.google.cloud.vertexai.api.ExplainRequest.Builder | Request message for PredictionService.Explain. |
com.google.cloud.vertexai.api.ExplainResponse | Response message for PredictionService.Explain. |
com.google.cloud.vertexai.api.ExplainResponse.Builder | Response message for PredictionService.Explain. |
com.google.cloud.vertexai.api.Explanation | Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given |
com.google.cloud.vertexai.api.Explanation.Builder | Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given |
com.google.cloud.vertexai.api.ExplanationMetadata | Metadata describing the Model's input and output for explanation. |
com.google.cloud.vertexai.api.ExplanationMetadata.Builder | Metadata describing the Model's input and output for explanation. |
com.google.cloud.vertexai.api.ExplanationMetadata.InputMetadata | Metadata of the input of a feature. Fields other than |
com.google.cloud.vertexai.api.ExplanationMetadata.InputMetadata.Builder | Metadata of the input of a feature. Fields other than |
com.google.cloud.vertexai.api.ExplanationMetadata.InputMetadata.FeatureValueDomain | Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information |
com.google.cloud.vertexai.api.ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder | Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information |
com.google.cloud.vertexai.api.ExplanationMetadata.InputMetadata.Visualization | Visualization configurations for image explanation. |
com.google.cloud.vertexai.api.ExplanationMetadata.InputMetadata.Visualization.Builder | Visualization configurations for image explanation. |
com.google.cloud.vertexai.api.ExplanationMetadata.OutputMetadata | Metadata of the prediction output to be explained. |
com.google.cloud.vertexai.api.ExplanationMetadata.OutputMetadata.Builder | Metadata of the prediction output to be explained. |
com.google.cloud.vertexai.api.ExplanationMetadataOverride | The ExplanationMetadata entries that can be overridden at online explanation time. |
com.google.cloud.vertexai.api.ExplanationMetadataOverride.Builder | The ExplanationMetadata entries that can be overridden at online explanation time. |
com.google.cloud.vertexai.api.ExplanationMetadataOverride.InputMetadataOverride | The input metadata entries to be overridden. |
com.google.cloud.vertexai.api.ExplanationMetadataOverride.InputMetadataOverride.Builder | The input metadata entries to be overridden. |
com.google.cloud.vertexai.api.ExplanationMetadataProto | |
com.google.cloud.vertexai.api.ExplanationParameters | Parameters to configure explaining for Model's predictions. |
com.google.cloud.vertexai.api.ExplanationParameters.Builder | Parameters to configure explaining for Model's predictions. |
com.google.cloud.vertexai.api.ExplanationProto | |
com.google.cloud.vertexai.api.ExplanationSpec | Specification of Model explanation. |
com.google.cloud.vertexai.api.ExplanationSpec.Builder | Specification of Model explanation. |
com.google.cloud.vertexai.api.ExplanationSpecOverride | The ExplanationSpec entries that can be overridden at online explanation time. |
com.google.cloud.vertexai.api.ExplanationSpecOverride.Builder | The ExplanationSpec entries that can be overridden at online explanation time. |
com.google.cloud.vertexai.api.FeatureNoiseSigma | Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients. |
com.google.cloud.vertexai.api.FeatureNoiseSigma.Builder | Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients. |
com.google.cloud.vertexai.api.FeatureNoiseSigma.NoiseSigmaForFeature | Noise sigma for a single feature. |
com.google.cloud.vertexai.api.FeatureNoiseSigma.NoiseSigmaForFeature.Builder | Noise sigma for a single feature. |
com.google.cloud.vertexai.api.FileData | URI based data. |
com.google.cloud.vertexai.api.FileData.Builder | URI based data. |
com.google.cloud.vertexai.api.FunctionCall | A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. |
com.google.cloud.vertexai.api.FunctionCall.Builder | A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. |
com.google.cloud.vertexai.api.FunctionDeclaration | Structured representation of a function declaration as defined by the OpenAPI 3.0 specification. Included in this declaration are the function name and parameters. This |
com.google.cloud.vertexai.api.FunctionDeclaration.Builder | Structured representation of a function declaration as defined by the OpenAPI 3.0 specification. Included in this declaration are the function name and parameters. This |
com.google.cloud.vertexai.api.FunctionResponse | The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain |
com.google.cloud.vertexai.api.FunctionResponse.Builder | The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain |
com.google.cloud.vertexai.api.GcsDestination | The Google Cloud Storage location where the output is to be written to. |
com.google.cloud.vertexai.api.GcsDestination.Builder | The Google Cloud Storage location where the output is to be written to. |
com.google.cloud.vertexai.api.GcsSource | The Google Cloud Storage location for the input content. |
com.google.cloud.vertexai.api.GcsSource.Builder | The Google Cloud Storage location for the input content. |
com.google.cloud.vertexai.api.GenerateContentRequest | Request message for [PredictionService.GenerateContent]. |
com.google.cloud.vertexai.api.GenerateContentRequest.Builder | Request message for [PredictionService.GenerateContent]. |
com.google.cloud.vertexai.api.GenerateContentResponse | Response message for [PredictionService.GenerateContent]. |
com.google.cloud.vertexai.api.GenerateContentResponse.Builder | Response message for [PredictionService.GenerateContent]. |
com.google.cloud.vertexai.api.GenerateContentResponse.PromptFeedback | Content filter results for a prompt sent in the request. |
com.google.cloud.vertexai.api.GenerateContentResponse.PromptFeedback.Builder | Content filter results for a prompt sent in the request. |
com.google.cloud.vertexai.api.GenerateContentResponse.UsageMetadata | Usage metadata about response(s). |
com.google.cloud.vertexai.api.GenerateContentResponse.UsageMetadata.Builder | Usage metadata about response(s). |
com.google.cloud.vertexai.api.GenerationConfig | Generation config. |
com.google.cloud.vertexai.api.GenerationConfig.Builder | Generation config. |
com.google.cloud.vertexai.api.GenericOperationMetadata | Generic Metadata shared by all operations. |
com.google.cloud.vertexai.api.GenericOperationMetadata.Builder | Generic Metadata shared by all operations. |
com.google.cloud.vertexai.api.GetEndpointRequest | Request message for EndpointService.GetEndpoint |
com.google.cloud.vertexai.api.GetEndpointRequest.Builder | Request message for EndpointService.GetEndpoint |
com.google.cloud.vertexai.api.GoogleSearchRetrieval | Tool to retrieve public web data for grounding, powered by Google. |
com.google.cloud.vertexai.api.GoogleSearchRetrieval.Builder | Tool to retrieve public web data for grounding, powered by Google. |
com.google.cloud.vertexai.api.GroundingAttribution | Grounding attribution. |
com.google.cloud.vertexai.api.GroundingAttribution.Builder | Grounding attribution. |
com.google.cloud.vertexai.api.GroundingAttribution.Web | Attribution from the web. |
com.google.cloud.vertexai.api.GroundingAttribution.Web.Builder | Attribution from the web. |
com.google.cloud.vertexai.api.GroundingMetadata | Metadata returned to client when grounding is enabled. |
com.google.cloud.vertexai.api.GroundingMetadata.Builder | Metadata returned to client when grounding is enabled. |
com.google.cloud.vertexai.api.Int64Array | A list of int64 values. |
com.google.cloud.vertexai.api.Int64Array.Builder | A list of int64 values. |
com.google.cloud.vertexai.api.IntegratedGradientsAttribution | An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365 |
com.google.cloud.vertexai.api.IntegratedGradientsAttribution.Builder | An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365 |
com.google.cloud.vertexai.api.IoProto | |
com.google.cloud.vertexai.api.ListEndpointsRequest | Request message for EndpointService.ListEndpoints. |
com.google.cloud.vertexai.api.ListEndpointsRequest.Builder | Request message for EndpointService.ListEndpoints. |
com.google.cloud.vertexai.api.ListEndpointsResponse | Response message for EndpointService.ListEndpoints. |
com.google.cloud.vertexai.api.ListEndpointsResponse.Builder | Response message for EndpointService.ListEndpoints. |
com.google.cloud.vertexai.api.LlmUtilityServiceClient.ListLocationsFixedSizeCollection | |
com.google.cloud.vertexai.api.LlmUtilityServiceClient.ListLocationsPage | |
com.google.cloud.vertexai.api.LlmUtilityServiceClient.ListLocationsPagedResponse | |
com.google.cloud.vertexai.api.LlmUtilityServiceGrpc | Service for LLM related utility functions. |
com.google.cloud.vertexai.api.LlmUtilityServiceGrpc.LlmUtilityServiceImplBase | Base class for the server implementation of the service LlmUtilityService. Service for LLM related utility functions. |
com.google.cloud.vertexai.api.LlmUtilityServiceProto | |
com.google.cloud.vertexai.api.LlmUtilityServiceSettings.Builder | Builder for LlmUtilityServiceSettings. |
com.google.cloud.vertexai.api.LocationName | |
com.google.cloud.vertexai.api.LocationName.Builder | Builder for projects/{project}/locations/{location}. |
com.google.cloud.vertexai.api.MachineResourcesProto | |
com.google.cloud.vertexai.api.MachineSpec | Specification of a single machine. |
com.google.cloud.vertexai.api.MachineSpec.Builder | Specification of a single machine. |
com.google.cloud.vertexai.api.ModelExplanation | Aggregated explanation metrics for a Model over a set of instances. |
com.google.cloud.vertexai.api.ModelExplanation.Builder | Aggregated explanation metrics for a Model over a set of instances. |
com.google.cloud.vertexai.api.MutateDeployedModelOperationMetadata | Runtime operation information for EndpointService.MutateDeployedModel. |
com.google.cloud.vertexai.api.MutateDeployedModelOperationMetadata.Builder | Runtime operation information for EndpointService.MutateDeployedModel. |
com.google.cloud.vertexai.api.MutateDeployedModelRequest | Request message for EndpointService.MutateDeployedModel. |
com.google.cloud.vertexai.api.MutateDeployedModelRequest.Builder | Request message for EndpointService.MutateDeployedModel. |
com.google.cloud.vertexai.api.MutateDeployedModelResponse | Response message for EndpointService.MutateDeployedModel. |
com.google.cloud.vertexai.api.MutateDeployedModelResponse.Builder | Response message for EndpointService.MutateDeployedModel. |
com.google.cloud.vertexai.api.Neighbor | Neighbors for example-based explanations. |
com.google.cloud.vertexai.api.Neighbor.Builder | Neighbors for example-based explanations. |
com.google.cloud.vertexai.api.NfsMount | Represents a mount configuration for Network File System (NFS) to mount. |
com.google.cloud.vertexai.api.NfsMount.Builder | Represents a mount configuration for Network File System (NFS) to mount. |
com.google.cloud.vertexai.api.OpenApiProto | |
com.google.cloud.vertexai.api.OperationProto | |
com.google.cloud.vertexai.api.Part |
A datatype containing media that is part of a multi-part Content message.
A Part consists of data which has an associated datatype. A Part can only |
com.google.cloud.vertexai.api.Part.Builder |
A datatype containing media that is part of a multi-part Content message.
A Part consists of data which has an associated datatype. A Part can only |
com.google.cloud.vertexai.api.PersistentDiskSpec | Represents the spec of persistent disk options. |
com.google.cloud.vertexai.api.PersistentDiskSpec.Builder | Represents the spec of persistent disk options. |
com.google.cloud.vertexai.api.PredictRequest | Request message for PredictionService.Predict. |
com.google.cloud.vertexai.api.PredictRequest.Builder | Request message for PredictionService.Predict. |
com.google.cloud.vertexai.api.PredictRequestResponseLoggingConfig | Configuration for logging request-response to a BigQuery table. |
com.google.cloud.vertexai.api.PredictRequestResponseLoggingConfig.Builder | Configuration for logging request-response to a BigQuery table. |
com.google.cloud.vertexai.api.PredictResponse | Response message for PredictionService.Predict. |
com.google.cloud.vertexai.api.PredictResponse.Builder | Response message for PredictionService.Predict. |
com.google.cloud.vertexai.api.PredictionServiceClient.ListLocationsFixedSizeCollection | |
com.google.cloud.vertexai.api.PredictionServiceClient.ListLocationsPage | |
com.google.cloud.vertexai.api.PredictionServiceClient.ListLocationsPagedResponse | |
com.google.cloud.vertexai.api.PredictionServiceGrpc | A service for online predictions and explanations. |
com.google.cloud.vertexai.api.PredictionServiceGrpc.PredictionServiceImplBase | Base class for the server implementation of the service PredictionService. A service for online predictions and explanations. |
com.google.cloud.vertexai.api.PredictionServiceProto | |
com.google.cloud.vertexai.api.PredictionServiceSettings.Builder | Builder for PredictionServiceSettings. |
com.google.cloud.vertexai.api.Presets | Preset configuration for example-based explanations |
com.google.cloud.vertexai.api.Presets.Builder | Preset configuration for example-based explanations |
com.google.cloud.vertexai.api.PrivateEndpoints | PrivateEndpoints proto is used to provide paths for users to send requests privately. To send request via private service access, use predict_http_uri, |
com.google.cloud.vertexai.api.PrivateEndpoints.Builder | PrivateEndpoints proto is used to provide paths for users to send requests privately. To send request via private service access, use predict_http_uri, |
com.google.cloud.vertexai.api.RawPredictRequest | Request message for PredictionService.RawPredict. |
com.google.cloud.vertexai.api.RawPredictRequest.Builder | Request message for PredictionService.RawPredict. |
com.google.cloud.vertexai.api.ResourcesConsumed | Statistics information about resource consumption. |
com.google.cloud.vertexai.api.ResourcesConsumed.Builder | Statistics information about resource consumption. |
com.google.cloud.vertexai.api.Retrieval | Defines a retrieval tool that model can call to access external knowledge. |
com.google.cloud.vertexai.api.Retrieval.Builder | Defines a retrieval tool that model can call to access external knowledge. |
com.google.cloud.vertexai.api.SafetyRating | Safety rating corresponding to the generated content. |
com.google.cloud.vertexai.api.SafetyRating.Builder | Safety rating corresponding to the generated content. |
com.google.cloud.vertexai.api.SafetySetting | Safety settings. |
com.google.cloud.vertexai.api.SafetySetting.Builder | Safety settings. |
com.google.cloud.vertexai.api.SampledShapleyAttribution | An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features. |
com.google.cloud.vertexai.api.SampledShapleyAttribution.Builder | An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features. |
com.google.cloud.vertexai.api.Schema | Schema is used to define the format of input/output data. Represents a select subset of an OpenAPI 3.0 schema object. More fields may be |
com.google.cloud.vertexai.api.Schema.Builder | Schema is used to define the format of input/output data. Represents a select subset of an OpenAPI 3.0 schema object. More fields may be |
com.google.cloud.vertexai.api.Segment | Segment of the content. |
com.google.cloud.vertexai.api.Segment.Builder | Segment of the content. |
com.google.cloud.vertexai.api.ShieldedVmConfig | A set of Shielded Instance options. See Images using supported Shielded VM features. |
com.google.cloud.vertexai.api.ShieldedVmConfig.Builder | A set of Shielded Instance options. See Images using supported Shielded VM features. |
com.google.cloud.vertexai.api.SmoothGradConfig | Config for SmoothGrad approximation of gradients. When enabled, the gradients are approximated by averaging the gradients from |
com.google.cloud.vertexai.api.SmoothGradConfig.Builder | Config for SmoothGrad approximation of gradients. When enabled, the gradients are approximated by averaging the gradients from |
com.google.cloud.vertexai.api.StreamDirectPredictRequest | Request message for PredictionService.StreamDirectPredict. |
com.google.cloud.vertexai.api.StreamDirectPredictRequest.Builder | Request message for PredictionService.StreamDirectPredict. |
com.google.cloud.vertexai.api.StreamDirectPredictResponse | Response message for PredictionService.StreamDirectPredict. |
com.google.cloud.vertexai.api.StreamDirectPredictResponse.Builder | Response message for PredictionService.StreamDirectPredict. |
com.google.cloud.vertexai.api.StreamDirectRawPredictRequest | Request message for PredictionService.StreamDirectRawPredict. |
com.google.cloud.vertexai.api.StreamDirectRawPredictRequest.Builder | Request message for PredictionService.StreamDirectRawPredict. |
com.google.cloud.vertexai.api.StreamDirectRawPredictResponse | Response message for PredictionService.StreamDirectRawPredict. |
com.google.cloud.vertexai.api.StreamDirectRawPredictResponse.Builder | Response message for PredictionService.StreamDirectRawPredict. |
com.google.cloud.vertexai.api.StreamRawPredictRequest | Request message for PredictionService.StreamRawPredict. |
com.google.cloud.vertexai.api.StreamRawPredictRequest.Builder | Request message for PredictionService.StreamRawPredict. |
com.google.cloud.vertexai.api.StreamingPredictRequest | Request message for PredictionService.StreamingPredict. |
com.google.cloud.vertexai.api.StreamingPredictRequest.Builder | Request message for PredictionService.StreamingPredict. |
com.google.cloud.vertexai.api.StreamingPredictResponse | Response message for PredictionService.StreamingPredict. |
com.google.cloud.vertexai.api.StreamingPredictResponse.Builder | Response message for PredictionService.StreamingPredict. |
com.google.cloud.vertexai.api.StreamingRawPredictRequest | Request message for PredictionService.StreamingRawPredict. |
com.google.cloud.vertexai.api.StreamingRawPredictRequest.Builder | Request message for PredictionService.StreamingRawPredict. |
com.google.cloud.vertexai.api.StreamingRawPredictResponse | Response message for PredictionService.StreamingRawPredict. |
com.google.cloud.vertexai.api.StreamingRawPredictResponse.Builder | Response message for PredictionService.StreamingRawPredict. |
com.google.cloud.vertexai.api.StringArray | A list of string values. |
com.google.cloud.vertexai.api.StringArray.Builder | A list of string values. |
com.google.cloud.vertexai.api.TFRecordDestination | The storage details for TFRecord output content. |
com.google.cloud.vertexai.api.TFRecordDestination.Builder | The storage details for TFRecord output content. |
com.google.cloud.vertexai.api.Tensor | A tensor value type. |
com.google.cloud.vertexai.api.Tensor.Builder | A tensor value type. |
com.google.cloud.vertexai.api.TokensInfo | Tokens info with a list of tokens and the corresponding list of token ids. |
com.google.cloud.vertexai.api.TokensInfo.Builder | Tokens info with a list of tokens and the corresponding list of token ids. |
com.google.cloud.vertexai.api.Tool |
Tool details that the model may use to generate response.
A Tool is a piece of code that enables the system to interact with |
com.google.cloud.vertexai.api.Tool.Builder |
Tool details that the model may use to generate response.
A Tool is a piece of code that enables the system to interact with |
com.google.cloud.vertexai.api.ToolProto | |
com.google.cloud.vertexai.api.TypesProto | |
com.google.cloud.vertexai.api.UndeployModelOperationMetadata | Runtime operation information for EndpointService.UndeployModel. |
com.google.cloud.vertexai.api.UndeployModelOperationMetadata.Builder | Runtime operation information for EndpointService.UndeployModel. |
com.google.cloud.vertexai.api.UndeployModelRequest | Request message for EndpointService.UndeployModel. |
com.google.cloud.vertexai.api.UndeployModelRequest.Builder | Request message for EndpointService.UndeployModel. |
com.google.cloud.vertexai.api.UndeployModelResponse | Response message for EndpointService.UndeployModel. |
com.google.cloud.vertexai.api.UndeployModelResponse.Builder | Response message for EndpointService.UndeployModel. |
com.google.cloud.vertexai.api.UpdateEndpointRequest | Request message for EndpointService.UpdateEndpoint. |
com.google.cloud.vertexai.api.UpdateEndpointRequest.Builder | Request message for EndpointService.UpdateEndpoint. |
com.google.cloud.vertexai.api.VertexAISearch | Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/vertex-ai-search-and-conversation |
com.google.cloud.vertexai.api.VertexAISearch.Builder | Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/vertex-ai-search-and-conversation |
com.google.cloud.vertexai.api.VideoMetadata | Metadata describes the input video content. |
com.google.cloud.vertexai.api.VideoMetadata.Builder | Metadata describes the input video content. |
com.google.cloud.vertexai.api.XraiAttribution | An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: |
com.google.cloud.vertexai.api.XraiAttribution.Builder | An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: |