| Class | Description |
|---|---|
| AcceleratorTypeProto | |
| Attribution |
Attribution that explains a particular prediction output.
|
| Attribution.Builder |
Attribution that explains a particular prediction output.
|
| AutomaticResources |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| AutomaticResources.Builder |
A description of resources that to large degree are decided by Vertex AI,
and require only a modest additional configuration.
|
| 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.
|
| 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.
|
| AvroSource |
The storage details for Avro input content.
|
| AvroSource.Builder |
The storage details for Avro input content.
|
| BatchDedicatedResources |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BatchDedicatedResources.Builder |
A description of resources that are used for performing batch operations, are
dedicated to a Model, and need manual configuration.
|
| BigQueryDestination |
The BigQuery location for the output content.
|
| BigQueryDestination.Builder |
The BigQuery location for the output content.
|
| BigQuerySource |
The BigQuery location for the input content.
|
| BigQuerySource.Builder |
The BigQuery location for the input content.
|
| Blob |
Content blob.
|
| Blob.Builder |
Content blob.
|
| BlurBaselineConfig |
Config for blur baseline.
|
| BlurBaselineConfig.Builder |
Config for blur baseline.
|
| BoolArray |
A list of boolean values.
|
| BoolArray.Builder |
A list of boolean values.
|
| Candidate |
A response candidate generated from the model.
|
| Candidate.Builder |
A response candidate generated from the model.
|
| Citation |
Source attributions for content.
|
| Citation.Builder |
Source attributions for content.
|
| CitationMetadata |
A collection of source attributions for a piece of content.
|
| CitationMetadata.Builder |
A collection of source attributions for a piece of content.
|
| ComputeTokensRequest |
Request message for ComputeTokens RPC call.
|
| ComputeTokensRequest.Builder |
Request message for ComputeTokens RPC call.
|
| ComputeTokensResponse |
Response message for ComputeTokens RPC call.
|
| ComputeTokensResponse.Builder |
Response message for ComputeTokens RPC call.
|
| ContainerRegistryDestination |
The Container Registry location for the container image.
|
| ContainerRegistryDestination.Builder |
The Container Registry location for the container image.
|
| Content |
The base structured datatype containing multi-part content of a message.
|
| Content.Builder |
The base structured datatype containing multi-part content of a message.
|
| ContentProto | |
| CountTokensRequest |
Request message for [PredictionService.CountTokens][].
|
| CountTokensRequest.Builder |
Request message for [PredictionService.CountTokens][].
|
| CountTokensResponse |
Response message for [PredictionService.CountTokens][].
|
| CountTokensResponse.Builder |
Response message for [PredictionService.CountTokens][].
|
| CreateEndpointOperationMetadata |
Runtime operation information for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointOperationMetadata.Builder |
Runtime operation information for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequest |
Request message for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CreateEndpointRequest.Builder |
Request message for
[EndpointService.CreateEndpoint][google.cloud.aiplatform.v1.EndpointService.CreateEndpoint].
|
| CsvDestination |
The storage details for CSV output content.
|
| CsvDestination.Builder |
The storage details for CSV output content.
|
| CsvSource |
The storage details for CSV input content.
|
| CsvSource.Builder |
The storage details for CSV input content.
|
| DedicatedResources |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DedicatedResources.Builder |
A description of resources that are dedicated to a DeployedModel, and
that need a higher degree of manual configuration.
|
| DeleteEndpointRequest |
Request message for
[EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteEndpointRequest.Builder |
Request message for
[EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1.EndpointService.DeleteEndpoint].
|
| DeleteOperationMetadata |
Details of operations that perform deletes of any entities.
|
| DeleteOperationMetadata.Builder |
Details of operations that perform deletes of any entities.
|
| DeployedModel |
A deployment of a Model.
|
| DeployedModel.Builder |
A deployment of a Model.
|
| DeployModelOperationMetadata |
Runtime operation information for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelOperationMetadata.Builder |
Runtime operation information for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequest |
Request message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelRequest.Builder |
Request message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponse |
Response message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DeployModelResponse.Builder |
Response message for
[EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel].
|
| DirectPredictRequest |
Request message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictRequest.Builder |
Request message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictResponse |
Response message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectPredictResponse.Builder |
Response message for
[PredictionService.DirectPredict][google.cloud.aiplatform.v1.PredictionService.DirectPredict].
|
| DirectRawPredictRequest |
Request message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictRequest.Builder |
Request message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictResponse |
Response message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DirectRawPredictResponse.Builder |
Response message for
[PredictionService.DirectRawPredict][google.cloud.aiplatform.v1.PredictionService.DirectRawPredict].
|
| DiskSpec |
Represents the spec of disk options.
|
| DiskSpec.Builder |
Represents the spec of disk options.
|
| DoubleArray |
A list of double values.
|
| DoubleArray.Builder |
A list of double values.
|
| EncryptionSpec |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpec.Builder |
Represents a customer-managed encryption key spec that can be applied to
a top-level resource.
|
| EncryptionSpecProto | |
| Endpoint |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| Endpoint.Builder |
Models are deployed into it, and afterwards Endpoint is called to obtain
predictions and explanations.
|
| EndpointName | |
| EndpointName.Builder |
Builder for projects/{project}/locations/{location}/endpoints/{endpoint}.
|
| EndpointName.ProjectLocationPublisherModelBuilder |
Builder for projects/{project}/locations/{location}/publishers/{publisher}/models/{model}.
|
| EndpointProto | |
| EndpointServiceProto | |
| Examples |
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
| Examples.Builder |
Example-based explainability that returns the nearest neighbors from the
provided dataset.
|
| Examples.ExampleGcsSource |
The Cloud Storage input instances.
|
| Examples.ExampleGcsSource.Builder |
The Cloud Storage input instances.
|
| ExamplesOverride |
Overrides for example-based explanations.
|
| ExamplesOverride.Builder |
Overrides for example-based explanations.
|
| ExamplesRestrictionsNamespace |
Restrictions namespace for example-based explanations overrides.
|
| ExamplesRestrictionsNamespace.Builder |
Restrictions namespace for example-based explanations overrides.
|
| ExplainRequest |
Request message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainRequest.Builder |
Request message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponse |
Response message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| ExplainResponse.Builder |
Response message for
[PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
|
| Explanation |
Explanation of a prediction (provided in
[PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given
[instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| Explanation.Builder |
Explanation of a prediction (provided in
[PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
produced by the Model on a given
[instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
|
| ExplanationMetadata |
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.Builder |
Metadata describing the Model's input and output for explanation.
|
| ExplanationMetadata.InputMetadata |
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.Builder |
Metadata of the input of a feature.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain |
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.FeatureValueDomain.Builder |
Domain details of the input feature value.
|
| ExplanationMetadata.InputMetadata.Visualization |
Visualization configurations for image explanation.
|
| ExplanationMetadata.InputMetadata.Visualization.Builder |
Visualization configurations for image explanation.
|
| ExplanationMetadata.OutputMetadata |
Metadata of the prediction output to be explained.
|
| ExplanationMetadata.OutputMetadata.Builder |
Metadata of the prediction output to be explained.
|
| ExplanationMetadataOverride |
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
entries that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.Builder |
The [ExplanationMetadata][google.cloud.aiplatform.v1.ExplanationMetadata]
entries that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationMetadataOverride.InputMetadataOverride |
The [input
metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
entries to be overridden.
|
| ExplanationMetadataOverride.InputMetadataOverride.Builder |
The [input
metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata]
entries to be overridden.
|
| ExplanationMetadataProto | |
| ExplanationParameters |
Parameters to configure explaining for Model's predictions.
|
| ExplanationParameters.Builder |
Parameters to configure explaining for Model's predictions.
|
| ExplanationProto | |
| ExplanationSpec |
Specification of Model explanation.
|
| ExplanationSpec.Builder |
Specification of Model explanation.
|
| ExplanationSpecOverride |
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| ExplanationSpecOverride.Builder |
The [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] entries
that can be overridden at [online
explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.
|
| FeatureNoiseSigma |
Noise sigma by features.
|
| FeatureNoiseSigma.Builder |
Noise sigma by features.
|
| FeatureNoiseSigma.NoiseSigmaForFeature |
Noise sigma for a single feature.
|
| FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
Noise sigma for a single feature.
|
| FileData |
URI based data.
|
| FileData.Builder |
URI based data.
|
| 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.
|
| 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.
|
| FunctionCallingConfig |
Function calling config.
|
| FunctionCallingConfig.Builder |
Function calling config.
|
| FunctionDeclaration |
Structured representation of a function declaration as defined by the
[OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).
|
| FunctionDeclaration.Builder |
Structured representation of a function declaration as defined by the
[OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).
|
| 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.
|
| 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.
|
| GcsDestination |
The Google Cloud Storage location where the output is to be written to.
|
| GcsDestination.Builder |
The Google Cloud Storage location where the output is to be written to.
|
| GcsSource |
The Google Cloud Storage location for the input content.
|
| GcsSource.Builder |
The Google Cloud Storage location for the input content.
|
| GenerateContentRequest |
Request message for [PredictionService.GenerateContent].
|
| GenerateContentRequest.Builder |
Request message for [PredictionService.GenerateContent].
|
| GenerateContentResponse |
Response message for [PredictionService.GenerateContent].
|
| GenerateContentResponse.Builder |
Response message for [PredictionService.GenerateContent].
|
| GenerateContentResponse.PromptFeedback |
Content filter results for a prompt sent in the request.
|
| GenerateContentResponse.PromptFeedback.Builder |
Content filter results for a prompt sent in the request.
|
| GenerateContentResponse.UsageMetadata |
Usage metadata about response(s).
|
| GenerateContentResponse.UsageMetadata.Builder |
Usage metadata about response(s).
|
| GenerationConfig |
Generation config.
|
| GenerationConfig.Builder |
Generation config.
|
| GenerationConfig.RoutingConfig |
The configuration for routing the request to a specific model.
|
| GenerationConfig.RoutingConfig.AutoRoutingMode |
When automated routing is specified, the routing will be determined by
the pretrained routing model and customer provided model routing
preference.
|
| GenerationConfig.RoutingConfig.AutoRoutingMode.Builder |
When automated routing is specified, the routing will be determined by
the pretrained routing model and customer provided model routing
preference.
|
| GenerationConfig.RoutingConfig.Builder |
The configuration for routing the request to a specific model.
|
| GenerationConfig.RoutingConfig.ManualRoutingMode |
When manual routing is set, the specified model will be used directly.
|
| GenerationConfig.RoutingConfig.ManualRoutingMode.Builder |
When manual routing is set, the specified model will be used directly.
|
| GenericOperationMetadata |
Generic Metadata shared by all operations.
|
| GenericOperationMetadata.Builder |
Generic Metadata shared by all operations.
|
| GetEndpointRequest |
Request message for
[EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
Protobuf type
google.cloud.vertexai.v1.GetEndpointRequest |
| GetEndpointRequest.Builder |
Request message for
[EndpointService.GetEndpoint][google.cloud.aiplatform.v1.EndpointService.GetEndpoint]
Protobuf type
google.cloud.vertexai.v1.GetEndpointRequest |
| GoogleSearchRetrieval |
Tool to retrieve public web data for grounding, powered by Google.
|
| GoogleSearchRetrieval.Builder |
Tool to retrieve public web data for grounding, powered by Google.
|
| GroundingChunk |
Grounding chunk.
|
| GroundingChunk.Builder |
Grounding chunk.
|
| GroundingChunk.RetrievedContext |
Chunk from context retrieved by the retrieval tools.
|
| GroundingChunk.RetrievedContext.Builder |
Chunk from context retrieved by the retrieval tools.
|
| GroundingChunk.Web |
Chunk from the web.
|
| GroundingChunk.Web.Builder |
Chunk from the web.
|
| GroundingMetadata |
Metadata returned to client when grounding is enabled.
|
| GroundingMetadata.Builder |
Metadata returned to client when grounding is enabled.
|
| GroundingSupport |
Grounding support.
|
| GroundingSupport.Builder |
Grounding support.
|
| Int64Array |
A list of int64 values.
|
| Int64Array.Builder |
A list of int64 values.
|
| IntegratedGradientsAttribution |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IntegratedGradientsAttribution.Builder |
An attribution method that computes the Aumann-Shapley value taking advantage
of the model's fully differentiable structure.
|
| IoProto | |
| ListEndpointsRequest |
Request message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsRequest.Builder |
Request message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponse |
Response message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| ListEndpointsResponse.Builder |
Response message for
[EndpointService.ListEndpoints][google.cloud.aiplatform.v1.EndpointService.ListEndpoints].
|
| LlmUtilityServiceProto | |
| LocationName | |
| LocationName.Builder |
Builder for projects/{project}/locations/{location}.
|
| MachineResourcesProto | |
| MachineSpec |
Specification of a single machine.
|
| MachineSpec.Builder |
Specification of a single machine.
|
| ModelExplanation |
Aggregated explanation metrics for a Model over a set of instances.
|
| ModelExplanation.Builder |
Aggregated explanation metrics for a Model over a set of instances.
|
| MutateDeployedModelOperationMetadata |
Runtime operation information for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelOperationMetadata.Builder |
Runtime operation information for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelRequest |
Request message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelRequest.Builder |
Request message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelResponse |
Response message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| MutateDeployedModelResponse.Builder |
Response message for
[EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1.EndpointService.MutateDeployedModel].
|
| Neighbor |
Neighbors for example-based explanations.
|
| Neighbor.Builder |
Neighbors for example-based explanations.
|
| NfsMount |
Represents a mount configuration for Network File System (NFS) to mount.
|
| NfsMount.Builder |
Represents a mount configuration for Network File System (NFS) to mount.
|
| OpenApiProto | |
| OperationProto | |
| Part |
A datatype containing media that is part of a multi-part `Content` message.
|
| Part.Builder |
A datatype containing media that is part of a multi-part `Content` message.
|
| PersistentDiskSpec |
Represents the spec of [persistent
disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.
|
| PersistentDiskSpec.Builder |
Represents the spec of [persistent
disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.
|
| PredictionServiceProto | |
| PredictRequest |
Request message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictRequest.Builder |
Request message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictRequestResponseLoggingConfig |
Configuration for logging request-response to a BigQuery table.
|
| PredictRequestResponseLoggingConfig.Builder |
Configuration for logging request-response to a BigQuery table.
|
| PredictResponse |
Response message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| PredictResponse.Builder |
Response message for
[PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
|
| Presets |
Preset configuration for example-based explanations
Protobuf type
google.cloud.vertexai.v1.Presets |
| Presets.Builder |
Preset configuration for example-based explanations
Protobuf type
google.cloud.vertexai.v1.Presets |
| PrivateEndpoints |
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
|
| PrivateEndpoints.Builder |
PrivateEndpoints proto is used to provide paths for users to send
requests privately.
|
| PrivateServiceConnectConfig |
Represents configuration for private service connect.
|
| PrivateServiceConnectConfig.Builder |
Represents configuration for private service connect.
|
| PscAutomatedEndpoints |
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
| PscAutomatedEndpoints.Builder |
PscAutomatedEndpoints defines the output of the forwarding rule
automatically created by each PscAutomationConfig.
|
| RawPredictRequest |
Request message for
[PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| RawPredictRequest.Builder |
Request message for
[PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].
|
| ReservationAffinity |
A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a
DeployedModel) to draw its Compute Engine resources from a Shared
Reservation, or exclusively from on-demand capacity.
|
| ReservationAffinity.Builder |
A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a
DeployedModel) to draw its Compute Engine resources from a Shared
Reservation, or exclusively from on-demand capacity.
|
| ReservationAffinityProto | |
| ResourcesConsumed |
Statistics information about resource consumption.
|
| ResourcesConsumed.Builder |
Statistics information about resource consumption.
|
| Retrieval |
Defines a retrieval tool that model can call to access external knowledge.
|
| Retrieval.Builder |
Defines a retrieval tool that model can call to access external knowledge.
|
| SafetyRating |
Safety rating corresponding to the generated content.
|
| SafetyRating.Builder |
Safety rating corresponding to the generated content.
|
| SafetySetting |
Safety settings.
|
| SafetySetting.Builder |
Safety settings.
|
| SampledShapleyAttribution |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| SampledShapleyAttribution.Builder |
An attribution method that approximates Shapley values for features that
contribute to the label being predicted.
|
| Schema |
Schema is used to define the format of input/output data.
|
| Schema.Builder |
Schema is used to define the format of input/output data.
|
| SearchEntryPoint |
Google search entry point.
|
| SearchEntryPoint.Builder |
Google search entry point.
|
| Segment |
Segment of the content.
|
| Segment.Builder |
Segment of the content.
|
| ServiceNetworkingProto | |
| ShieldedVmConfig |
A set of Shielded Instance options.
|
| ShieldedVmConfig.Builder |
A set of Shielded Instance options.
|
| SmoothGradConfig |
Config for SmoothGrad approximation of gradients.
|
| SmoothGradConfig.Builder |
Config for SmoothGrad approximation of gradients.
|
| StreamDirectPredictRequest |
Request message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictRequest.Builder |
Request message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictResponse |
Response message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectPredictResponse.Builder |
Response message for
[PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectPredict].
|
| StreamDirectRawPredictRequest |
Request message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictRequest.Builder |
Request message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictResponse |
Response message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamDirectRawPredictResponse.Builder |
Response message for
[PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamDirectRawPredict].
|
| StreamingPredictRequest |
Request message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictRequest.Builder |
Request message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictResponse |
Response message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingPredictResponse.Builder |
Response message for
[PredictionService.StreamingPredict][google.cloud.aiplatform.v1.PredictionService.StreamingPredict].
|
| StreamingRawPredictRequest |
Request message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictRequest.Builder |
Request message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictResponse |
Response message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamingRawPredictResponse.Builder |
Response message for
[PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamingRawPredict].
|
| StreamRawPredictRequest |
Request message for
[PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict].
|
| StreamRawPredictRequest.Builder |
Request message for
[PredictionService.StreamRawPredict][google.cloud.aiplatform.v1.PredictionService.StreamRawPredict].
|
| StringArray |
A list of string values.
|
| StringArray.Builder |
A list of string values.
|
| Tensor |
A tensor value type.
|
| Tensor.Builder |
A tensor value type.
|
| TFRecordDestination |
The storage details for TFRecord output content.
|
| TFRecordDestination.Builder |
The storage details for TFRecord output content.
|
| TokensInfo |
Tokens info with a list of tokens and the corresponding list of token ids.
|
| TokensInfo.Builder |
Tokens info with a list of tokens and the corresponding list of token ids.
|
| Tool |
Tool details that the model may use to generate response.
|
| Tool.Builder |
Tool details that the model may use to generate response.
|
| ToolConfig |
Tool config.
|
| ToolConfig.Builder |
Tool config.
|
| ToolProto | |
| TypesProto | |
| UndeployModelOperationMetadata |
Runtime operation information for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelOperationMetadata.Builder |
Runtime operation information for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequest |
Request message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelRequest.Builder |
Request message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponse |
Response message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UndeployModelResponse.Builder |
Response message for
[EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel].
|
| UpdateEndpointRequest |
Request message for
[EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| UpdateEndpointRequest.Builder |
Request message for
[EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1.EndpointService.UpdateEndpoint].
|
| VertexAISearch |
Retrieve from Vertex AI Search datastore for grounding.
|
| VertexAISearch.Builder |
Retrieve from Vertex AI Search datastore for grounding.
|
| VideoMetadata |
Metadata describes the input video content.
|
| VideoMetadata.Builder |
Metadata describes the input video content.
|
| XraiAttribution |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
| XraiAttribution.Builder |
An explanation method that redistributes Integrated Gradients
attributions to segmented regions, taking advantage of the model's fully
differentiable structure.
|
| Enum | Description |
|---|---|
| AcceleratorType |
Represents a hardware accelerator type.
|
| Candidate.FinishReason |
The reason why the model stopped generating tokens.
|
| DeployedModel.PredictionResourcesCase | |
| Examples.ConfigCase | |
| Examples.ExampleGcsSource.DataFormat |
The format of the input example instances.
|
| Examples.SourceCase | |
| ExamplesOverride.DataFormat |
Data format enum.
|
| ExplanationMetadata.InputMetadata.Encoding |
Defines how a feature is encoded.
|
| ExplanationMetadata.InputMetadata.Visualization.ColorMap |
The color scheme used for highlighting areas.
|
| ExplanationMetadata.InputMetadata.Visualization.OverlayType |
How the original image is displayed in the visualization.
|
| ExplanationMetadata.InputMetadata.Visualization.Polarity |
Whether to only highlight pixels with positive contributions, negative
or both.
|
| ExplanationMetadata.InputMetadata.Visualization.Type |
Type of the image visualization.
|
| ExplanationMetadata.OutputMetadata.DisplayNameMappingCase | |
| ExplanationParameters.MethodCase | |
| FunctionCallingConfig.Mode |
Function calling mode.
|
| GenerateContentResponse.PromptFeedback.BlockedReason |
Blocked reason enumeration.
|
| GenerationConfig.RoutingConfig.AutoRoutingMode.ModelRoutingPreference |
The model routing preference.
|
| GenerationConfig.RoutingConfig.RoutingConfigCase | |
| GroundingChunk.ChunkTypeCase | |
| HarmCategory |
Harm categories that will block the content.
|
| Part.DataCase | |
| Part.MetadataCase | |
| Presets.Modality |
Preset option controlling parameters for different modalities
Protobuf enum
google.cloud.vertexai.v1.Presets.Modality |
| Presets.Query |
Preset option controlling parameters for query speed-precision trade-off
Protobuf enum
google.cloud.vertexai.v1.Presets.Query |
| ReservationAffinity.Type |
Identifies a type of reservation affinity.
|
| Retrieval.SourceCase | |
| SafetyRating.HarmProbability |
Harm probability levels in the content.
|
| SafetyRating.HarmSeverity |
Harm severity levels.
|
| SafetySetting.HarmBlockMethod |
Probability vs severity.
|
| SafetySetting.HarmBlockThreshold |
Probability based thresholds levels for blocking.
|
| SmoothGradConfig.GradientNoiseSigmaCase | |
| Tensor.DataType |
Data type of the tensor.
|
| Type |
Type contains the list of OpenAPI data types as defined by
https://swagger.io/docs/specification/data-models/data-types/
Protobuf enum
google.cloud.vertexai.v1.Type |
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