| Package | Description |
|---|---|
| com.google.api.services.ml.v1 | |
| com.google.api.services.ml.v1.model |
| Class and Description |
|---|
| GoogleCloudMlV1AddTrialMeasurementRequest
The request message for the AddTrialMeasurement service method.
|
| GoogleCloudMlV1CancelJobRequest
Request message for the CancelJob method.
|
| GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest
The request message for the CheckTrialEarlyStoppingState service method.
|
| GoogleCloudMlV1CompleteTrialRequest
The request message for the CompleteTrial service method.
|
| GoogleCloudMlV1ExplainRequest
Request for explanations to be issued against a trained model.
|
| GoogleCloudMlV1Job
Represents a training or prediction job.
|
| GoogleCloudMlV1ListOptimalTrialsRequest
The request message for the ListTrials service method.
|
| GoogleCloudMlV1Model
Represents a machine learning solution.
|
| GoogleCloudMlV1PredictRequest
Request for predictions to be issued against a trained model.
|
| GoogleCloudMlV1SetDefaultVersionRequest
Request message for the SetDefaultVersion request.
|
| GoogleCloudMlV1StopTrialRequest
Model definition for GoogleCloudMlV1StopTrialRequest.
|
| GoogleCloudMlV1Study
A message representing a Study.
|
| GoogleCloudMlV1SuggestTrialsRequest
The request message for the SuggestTrial service method.
|
| GoogleCloudMlV1Trial
A message representing a trial.
|
| GoogleCloudMlV1Version
Represents a version of the model.
|
| GoogleIamV1SetIamPolicyRequest
Request message for `SetIamPolicy` method.
|
| GoogleIamV1TestIamPermissionsRequest
Request message for `TestIamPermissions` method.
|
| Class and Description |
|---|
| GoogleApiHttpBody
Message that represents an arbitrary HTTP body.
|
| GoogleCloudMlV1AcceleratorConfig
Represents a hardware accelerator request config.
|
| GoogleCloudMlV1AddTrialMeasurementRequest
The request message for the AddTrialMeasurement service method.
|
| GoogleCloudMlV1AutomatedStoppingConfig
Configuration for Automated Early Stopping of Trials.
|
| GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig
Model definition for GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig.
|
| GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig
The median automated stopping rule stops a pending trial if the trial's best objective_value is
strictly below the median 'performance' of all completed trials reported up to the trial's last
measurement.
|
| GoogleCloudMlV1AutoScaling
Options for automatically scaling a model.
|
| GoogleCloudMlV1BuiltInAlgorithmOutput
Represents output related to a built-in algorithm Job.
|
| GoogleCloudMlV1CancelJobRequest
Request message for the CancelJob method.
|
| GoogleCloudMlV1Capability
Model definition for GoogleCloudMlV1Capability.
|
| GoogleCloudMlV1CheckTrialEarlyStoppingStateMetatdata
This message will be placed in the metadata field of a google.longrunning.Operation associated
with a CheckTrialEarlyStoppingState request.
|
| GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest
The request message for the CheckTrialEarlyStoppingState service method.
|
| GoogleCloudMlV1CheckTrialEarlyStoppingStateResponse
The message will be placed in the response field of a completed google.longrunning.Operation
associated with a CheckTrialEarlyStoppingState request.
|
| GoogleCloudMlV1CompleteTrialRequest
The request message for the CompleteTrial service method.
|
| GoogleCloudMlV1Config
Model definition for GoogleCloudMlV1Config.
|
| GoogleCloudMlV1ContainerPort
Represents a network port in a single container.
|
| GoogleCloudMlV1ContainerSpec
Specification of a custom container for serving predictions.
|
| GoogleCloudMlV1DiskConfig
Represents the config of disk options.
|
| GoogleCloudMlV1EncryptionConfig
Represents a custom encryption key configuration that can be applied to a resource.
|
| GoogleCloudMlV1EnvVar
Represents an environment variable to be made available in a container.
|
| GoogleCloudMlV1ExplainRequest
Request for explanations to be issued against a trained model.
|
| GoogleCloudMlV1ExplanationConfig
Message holding configuration options for explaining model predictions.
|
| GoogleCloudMlV1GetConfigResponse
Returns service account information associated with a project.
|
| GoogleCloudMlV1HyperparameterOutput
Represents the result of a single hyperparameter tuning trial from a training job.
|
| GoogleCloudMlV1HyperparameterOutputHyperparameterMetric
An observed value of a metric.
|
| GoogleCloudMlV1HyperparameterSpec
Represents a set of hyperparameters to optimize.
|
| GoogleCloudMlV1IntegratedGradientsAttribution
Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully
differentiable structure.
|
| GoogleCloudMlV1Job
Represents a training or prediction job.
|
| GoogleCloudMlV1ListJobsResponse
Response message for the ListJobs method.
|
| GoogleCloudMlV1ListLocationsResponse
Model definition for GoogleCloudMlV1ListLocationsResponse.
|
| GoogleCloudMlV1ListModelsResponse
Response message for the ListModels method.
|
| GoogleCloudMlV1ListOptimalTrialsRequest
The request message for the ListTrials service method.
|
| GoogleCloudMlV1ListOptimalTrialsResponse
The response message for the ListOptimalTrials method.
|
| GoogleCloudMlV1ListStudiesResponse
Model definition for GoogleCloudMlV1ListStudiesResponse.
|
| GoogleCloudMlV1ListTrialsResponse
The response message for the ListTrials method.
|
| GoogleCloudMlV1ListVersionsResponse
Response message for the ListVersions method.
|
| GoogleCloudMlV1Location
Model definition for GoogleCloudMlV1Location.
|
| GoogleCloudMlV1ManualScaling
Options for manually scaling a model.
|
| GoogleCloudMlV1Measurement
A message representing a measurement.
|
| GoogleCloudMlV1MeasurementMetric
A message representing a metric in the measurement.
|
| GoogleCloudMlV1MetricSpec
MetricSpec contains the specifications to use to calculate the desired nodes count when
autoscaling is enabled.
|
| GoogleCloudMlV1Model
Represents a machine learning solution.
|
| GoogleCloudMlV1OperationMetadata
Represents the metadata of the long-running operation.
|
| GoogleCloudMlV1ParameterSpec
Represents a single hyperparameter to optimize.
|
| GoogleCloudMlV1PredictionInput
Represents input parameters for a prediction job.
|
| GoogleCloudMlV1PredictionOutput
Represents results of a prediction job.
|
| GoogleCloudMlV1PredictRequest
Request for predictions to be issued against a trained model.
|
| GoogleCloudMlV1ReplicaConfig
Represents the configuration for a replica in a cluster.
|
| GoogleCloudMlV1RequestLoggingConfig
Configuration for logging request-response pairs to a BigQuery table.
|
| GoogleCloudMlV1RouteMap
Specifies HTTP paths served by a custom container.
|
| GoogleCloudMlV1SampledShapleyAttribution
An attribution method that approximates Shapley values for features that contribute to the label
being predicted.
|
| GoogleCloudMlV1Scheduling
All parameters related to scheduling of training jobs.
|
| GoogleCloudMlV1SetDefaultVersionRequest
Request message for the SetDefaultVersion request.
|
| GoogleCloudMlV1StopTrialRequest
Model definition for GoogleCloudMlV1StopTrialRequest.
|
| GoogleCloudMlV1Study
A message representing a Study.
|
| GoogleCloudMlV1StudyConfig
Represents configuration of a study.
|
| GoogleCloudMlV1StudyConfigMetricSpec
Represents a metric to optimize.
|
| GoogleCloudMlV1StudyConfigParameterSpec
Represents a single parameter to optimize.
|
| GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec
Model definition for GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec.
|
| GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec
Model definition for GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec.
|
| GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec
Model definition for GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec.
|
| GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec
Model definition for GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec.
|
| GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec
Represents the spec to match categorical values from parent parameter.
|
| GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec
Represents the spec to match discrete values from parent parameter.
|
| GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec
Represents the spec to match integer values from parent parameter.
|
| GoogleCloudMlV1SuggestTrialsMetadata
Metadata field of a google.longrunning.Operation associated with a SuggestTrialsRequest.
|
| GoogleCloudMlV1SuggestTrialsRequest
The request message for the SuggestTrial service method.
|
| GoogleCloudMlV1SuggestTrialsResponse
This message will be placed in the response field of a completed google.longrunning.Operation
associated with a SuggestTrials request.
|
| GoogleCloudMlV1TrainingInput
Represents input parameters for a training job.
|
| GoogleCloudMlV1TrainingOutput
Represents results of a training job.
|
| GoogleCloudMlV1Trial
A message representing a trial.
|
| GoogleCloudMlV1TrialParameter
A message representing a parameter to be tuned.
|
| GoogleCloudMlV1Version
Represents a version of the model.
|
| GoogleCloudMlV1XraiAttribution
Attributes credit by computing the XRAI taking advantage of the model's fully differentiable
structure.
|
| GoogleIamV1AuditConfig
Specifies the audit configuration for a service.
|
| GoogleIamV1AuditLogConfig
Provides the configuration for logging a type of permissions.
|
| GoogleIamV1Binding
Associates `members` with a `role`.
|
| GoogleIamV1Policy
An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud
resources.
|
| GoogleIamV1SetIamPolicyRequest
Request message for `SetIamPolicy` method.
|
| GoogleIamV1TestIamPermissionsRequest
Request message for `TestIamPermissions` method.
|
| GoogleIamV1TestIamPermissionsResponse
Response message for `TestIamPermissions` method.
|
| GoogleLongrunningListOperationsResponse
The response message for Operations.ListOperations.
|
| GoogleLongrunningOperation
This resource represents a long-running operation that is the result of a network API call.
|
| GoogleProtobufEmpty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your
APIs.
|
| GoogleRpcStatus
The `Status` type defines a logical error model that is suitable for different programming
environments, including REST APIs and RPC APIs.
|
| GoogleTypeExpr
Represents a textual expression in the Common Expression Language (CEL) syntax.
|
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