java.lang.Object
- com.oracle.bmc.http.internal.BaseSyncClient
- - com.oracle.bmc.datascience.DataScienceClient

All Implemented Interfaces:: DataScience, AutoCloseable

@Generated(value="OracleSDKGenerator",
           comments="API Version: 20190101")
public class DataScienceClient
extends BaseSyncClient
implements DataScience

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class DataScienceClient.Builder
Builder class for this client.

Field Summary

Fields
Modifier and Type	Field	Description
`String`	`clientCommonLibraryVersion`	Compatible SDK version, provided by the codegen.
`Optional<String>`	`minimumClientCommonLibraryVersionFromClient`	Minimum compatible SDK version, maybe provided by the codegen.
`static Service`	`SERVICE`	Service instance for DataScience.

Constructor Summary

Constructors
Constructor	Description
`DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider, ClientConfiguration configuration, ClientConfigurator clientConfigurator, RequestSignerFactory defaultRequestSignerFactory)`	Deprecated. Use the `builder` instead.
`DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider, ClientConfiguration configuration, ClientConfigurator clientConfigurator, RequestSignerFactory defaultRequestSignerFactory, List<ClientConfigurator> additionalClientConfigurators)`	Deprecated. Use the `builder` instead.
`DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider, ClientConfiguration configuration, ClientConfigurator clientConfigurator, RequestSignerFactory defaultRequestSignerFactory, List<ClientConfigurator> additionalClientConfigurators, String endpoint)`	Deprecated. Use the `builder` instead.
`DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider, ClientConfiguration configuration, ClientConfigurator clientConfigurator, RequestSignerFactory defaultRequestSignerFactory, Map<SigningStrategy,RequestSignerFactory> signingStrategyRequestSignerFactories, List<ClientConfigurator> additionalClientConfigurators, String endpoint)`	Deprecated. Use the `builder` instead.
`DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider, ClientConfiguration configuration, ClientConfigurator clientConfigurator, RequestSignerFactory defaultRequestSignerFactory, Map<SigningStrategy,RequestSignerFactory> signingStrategyRequestSignerFactories, List<ClientConfigurator> additionalClientConfigurators, String endpoint, ExecutorService executorService)`	Deprecated. Use the `builder` instead.
`DataScienceClient(BasicAuthenticationDetailsProvider authenticationDetailsProvider)`	Deprecated. Use the `builder` instead.
`DataScienceClient(BasicAuthenticationDetailsProvider authenticationDetailsProvider, ClientConfiguration configuration)`	Deprecated. Use the `builder` instead.
`DataScienceClient(BasicAuthenticationDetailsProvider authenticationDetailsProvider, ClientConfiguration configuration, ClientConfigurator clientConfigurator)`	Deprecated. Use the `builder` instead.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`ActivateModelResponse`	`activateModel(ActivateModelRequest request)`	Activates the model.
`ActivateModelDeploymentResponse`	`activateModelDeployment(ActivateModelDeploymentRequest request)`	Activates the model deployment.
`ActivateNotebookSessionResponse`	`activateNotebookSession(ActivateNotebookSessionRequest request)`	Activates the notebook session.
`ActivateScheduleResponse`	`activateSchedule(ActivateScheduleRequest request)`	Activate schedule.
`static DataScienceClient.Builder`	`builder()`	Create a builder for this client.
`CancelJobRunResponse`	`cancelJobRun(CancelJobRunRequest request)`	Cancels an IN_PROGRESS job run.
`CancelPipelineRunResponse`	`cancelPipelineRun(CancelPipelineRunRequest request)`	Cancel a PipelineRun.
`CancelWorkRequestResponse`	`cancelWorkRequest(CancelWorkRequestRequest request)`	Cancels a work request that has not started.
`ChangeDataSciencePrivateEndpointCompartmentResponse`	`changeDataSciencePrivateEndpointCompartment(ChangeDataSciencePrivateEndpointCompartmentRequest request)`	Moves a private endpoint into a different compartment.
`ChangeJobCompartmentResponse`	`changeJobCompartment(ChangeJobCompartmentRequest request)`	Changes a job’s compartment
`ChangeJobRunCompartmentResponse`	`changeJobRunCompartment(ChangeJobRunCompartmentRequest request)`	Changes a job run’s compartment
`ChangeMlApplicationCompartmentResponse`	`changeMlApplicationCompartment(ChangeMlApplicationCompartmentRequest request)`	Moves a MlApplication resource from one compartment identifier to another.
`ChangeMlApplicationImplementationCompartmentResponse`	`changeMlApplicationImplementationCompartment(ChangeMlApplicationImplementationCompartmentRequest request)`	Moves a MlApplicationImplementation resource from one compartment identifier to another.
`ChangeMlApplicationInstanceCompartmentResponse`	`changeMlApplicationInstanceCompartment(ChangeMlApplicationInstanceCompartmentRequest request)`	Moves a MlApplicationInstance resource from one compartment identifier to another.
`ChangeMlApplicationInstanceViewCompartmentResponse`	`changeMlApplicationInstanceViewCompartment(ChangeMlApplicationInstanceViewCompartmentRequest request)`	Moves a MlApplicationInstanceView resource from one compartment identifier to another.
`ChangeModelCompartmentResponse`	`changeModelCompartment(ChangeModelCompartmentRequest request)`	Moves a model resource into a different compartment.
`ChangeModelDeploymentCompartmentResponse`	`changeModelDeploymentCompartment(ChangeModelDeploymentCompartmentRequest request)`	Moves a model deployment into a different compartment.
`ChangeModelVersionSetCompartmentResponse`	`changeModelVersionSetCompartment(ChangeModelVersionSetCompartmentRequest request)`	Moves a modelVersionSet resource into a different compartment.
`ChangeNotebookSessionCompartmentResponse`	`changeNotebookSessionCompartment(ChangeNotebookSessionCompartmentRequest request)`	Moves a notebook session resource into a different compartment.
`ChangePipelineCompartmentResponse`	`changePipelineCompartment(ChangePipelineCompartmentRequest request)`	Moves a resource into a different compartment.
`ChangePipelineRunCompartmentResponse`	`changePipelineRunCompartment(ChangePipelineRunCompartmentRequest request)`	Moves a resource into a different compartment.
`ChangeProjectCompartmentResponse`	`changeProjectCompartment(ChangeProjectCompartmentRequest request)`	Moves a project resource into a different compartment.
`ChangeScheduleCompartmentResponse`	`changeScheduleCompartment(ChangeScheduleCompartmentRequest request)`	Moves a Schedule resource from one compartment identifier to another.
`void`	`close()`
`CreateDataSciencePrivateEndpointResponse`	`createDataSciencePrivateEndpoint(CreateDataSciencePrivateEndpointRequest request)`	Creates a Data Science private endpoint to be used by a Data Science resource.
`CreateJobResponse`	`createJob(CreateJobRequest request)`	Creates a job.
`CreateJobArtifactResponse`	`createJobArtifact(CreateJobArtifactRequest request)`	Uploads a job artifact.
`CreateJobRunResponse`	`createJobRun(CreateJobRunRequest request)`	Creates a job run.
`CreateMlApplicationResponse`	`createMlApplication(CreateMlApplicationRequest request)`	Creates a new MlApplication.
`CreateMlApplicationImplementationResponse`	`createMlApplicationImplementation(CreateMlApplicationImplementationRequest request)`	Creates a new MlApplicationImplementation.
`CreateMlApplicationInstanceResponse`	`createMlApplicationInstance(CreateMlApplicationInstanceRequest request)`	Creates a new MlApplicationInstance.
`CreateModelResponse`	`createModel(CreateModelRequest request)`	Creates a new model.
`CreateModelArtifactResponse`	`createModelArtifact(CreateModelArtifactRequest request)`	Creates model artifact for specified model.
`CreateModelCustomMetadatumArtifactResponse`	`createModelCustomMetadatumArtifact(CreateModelCustomMetadatumArtifactRequest request)`	Creates model custom metadata artifact for specified model.
`CreateModelDefinedMetadatumArtifactResponse`	`createModelDefinedMetadatumArtifact(CreateModelDefinedMetadatumArtifactRequest request)`	Creates model defined metadata artifact for specified model.
`CreateModelDeploymentResponse`	`createModelDeployment(CreateModelDeploymentRequest request)`	Creates a new model deployment.
`CreateModelProvenanceResponse`	`createModelProvenance(CreateModelProvenanceRequest request)`	Creates provenance information for the specified model.
`CreateModelVersionSetResponse`	`createModelVersionSet(CreateModelVersionSetRequest request)`	Creates a new modelVersionSet.
`CreateNotebookSessionResponse`	`createNotebookSession(CreateNotebookSessionRequest request)`	Creates a new notebook session.
`CreatePipelineResponse`	`createPipeline(CreatePipelineRequest request)`	Creates a new Pipeline.
`CreatePipelineRunResponse`	`createPipelineRun(CreatePipelineRunRequest request)`	Creates a new PipelineRun.
`CreateProjectResponse`	`createProject(CreateProjectRequest request)`	Creates a new project.
`CreateScheduleResponse`	`createSchedule(CreateScheduleRequest request)`	Creates a new Schedule.
`CreateStepArtifactResponse`	`createStepArtifact(CreateStepArtifactRequest request)`	Upload the artifact for a step in the pipeline.
`DeactivateModelResponse`	`deactivateModel(DeactivateModelRequest request)`	Deactivates the model.
`DeactivateModelDeploymentResponse`	`deactivateModelDeployment(DeactivateModelDeploymentRequest request)`	Deactivates the model deployment.
`DeactivateNotebookSessionResponse`	`deactivateNotebookSession(DeactivateNotebookSessionRequest request)`	Deactivates the notebook session.
`DeactivateScheduleResponse`	`deactivateSchedule(DeactivateScheduleRequest request)`	Deactivate schedule.
`DeleteDataSciencePrivateEndpointResponse`	`deleteDataSciencePrivateEndpoint(DeleteDataSciencePrivateEndpointRequest request)`	Deletes a private endpoint using `privateEndpointId`.
`DeleteJobResponse`	`deleteJob(DeleteJobRequest request)`	Deletes a job.
`DeleteJobRunResponse`	`deleteJobRun(DeleteJobRunRequest request)`	Deletes a job run.
`DeleteMlApplicationResponse`	`deleteMlApplication(DeleteMlApplicationRequest request)`	Deletes a MlApplication resource by identifier
`DeleteMlApplicationImplementationResponse`	`deleteMlApplicationImplementation(DeleteMlApplicationImplementationRequest request)`	Deletes a MlApplicationImplementation resource by identifier
`DeleteMlApplicationInstanceResponse`	`deleteMlApplicationInstance(DeleteMlApplicationInstanceRequest request)`	Deletes a MlApplicationInstance resource by identifier
`DeleteModelResponse`	`deleteModel(DeleteModelRequest request)`	Deletes the specified model.
`DeleteModelCustomMetadatumArtifactResponse`	`deleteModelCustomMetadatumArtifact(DeleteModelCustomMetadatumArtifactRequest request)`	Deletes model custom metadata artifact for specified model metadata key.
`DeleteModelDefinedMetadatumArtifactResponse`	`deleteModelDefinedMetadatumArtifact(DeleteModelDefinedMetadatumArtifactRequest request)`	Deletes model defined metadata artifact for specified model metadata key.
`DeleteModelDeploymentResponse`	`deleteModelDeployment(DeleteModelDeploymentRequest request)`	Deletes the specified model deployment.
`DeleteModelVersionSetResponse`	`deleteModelVersionSet(DeleteModelVersionSetRequest request)`	Deletes the specified modelVersionSet.
`DeleteNotebookSessionResponse`	`deleteNotebookSession(DeleteNotebookSessionRequest request)`	Deletes the specified notebook session.
`DeletePipelineResponse`	`deletePipeline(DeletePipelineRequest request)`	Deletes a Pipeline resource by identifier.
`DeletePipelineRunResponse`	`deletePipelineRun(DeletePipelineRunRequest request)`	Deletes a PipelineRun resource by identifier.
`DeleteProjectResponse`	`deleteProject(DeleteProjectRequest request)`	Deletes the specified project.
`DeleteScheduleResponse`	`deleteSchedule(DeleteScheduleRequest request)`	Deletes a Schedule resource by identifier
`DisableMlApplicationInstanceViewTriggerResponse`	`disableMlApplicationInstanceViewTrigger(DisableMlApplicationInstanceViewTriggerRequest request)`	Disable trigger of given name for given ML Application Instance View flow
`EnableMlApplicationInstanceViewTriggerResponse`	`enableMlApplicationInstanceViewTrigger(EnableMlApplicationInstanceViewTriggerRequest request)`	Enable trigger of given name for given ML Application Instance View flow
`ExportModelArtifactResponse`	`exportModelArtifact(ExportModelArtifactRequest request)`	Export model artifact from source to the service bucket
`String`	`getClientCommonLibraryVersion()`
`GetDataSciencePrivateEndpointResponse`	`getDataSciencePrivateEndpoint(GetDataSciencePrivateEndpointRequest request)`	Retrieves an private endpoint using a `privateEndpointId`.
`protected ClientConfigurator`	`getDefaultConfigurator()`
`String`	`getEndpoint()`
`GetJobResponse`	`getJob(GetJobRequest request)`	Gets a job.
`GetJobArtifactContentResponse`	`getJobArtifactContent(GetJobArtifactContentRequest request)`	Downloads job artifact content for specified job.
`GetJobRunResponse`	`getJobRun(GetJobRunRequest request)`	Gets a job run.
`Optional<String>`	`getMinimumClientCommonLibraryVersionFromClient()`
`GetMlApplicationResponse`	`getMlApplication(GetMlApplicationRequest request)`	Gets a MlApplication by identifier
`GetMlApplicationHistoricalPackageContentResponse`	`getMlApplicationHistoricalPackageContent(GetMlApplicationHistoricalPackageContentRequest request)`	Retrieves ML Application package for MlApplicationImplementationVersion with given id.
`GetMlApplicationImplementationResponse`	`getMlApplicationImplementation(GetMlApplicationImplementationRequest request)`	Gets a MlApplicationImplementation by identifier
`GetMlApplicationImplementationVersionResponse`	`getMlApplicationImplementationVersion(GetMlApplicationImplementationVersionRequest request)`	Gets a MlApplicationImplementationVersion by identifier
`GetMlApplicationInstanceResponse`	`getMlApplicationInstance(GetMlApplicationInstanceRequest request)`	Gets a MlApplicationInstance by identifier
`GetMlApplicationInstanceViewResponse`	`getMlApplicationInstanceView(GetMlApplicationInstanceViewRequest request)`	Gets a MlApplicationInstanceView by identifier
`GetMlApplicationPackageContentResponse`	`getMlApplicationPackageContent(GetMlApplicationPackageContentRequest request)`	Retrieves last ML Application package uploaded for given ML Application Implementation
`GetModelResponse`	`getModel(GetModelRequest request)`	Gets the specified model’s information.
`GetModelArtifactContentResponse`	`getModelArtifactContent(GetModelArtifactContentRequest request)`	Downloads model artifact content for specified model.
`GetModelCustomMetadatumArtifactContentResponse`	`getModelCustomMetadatumArtifactContent(GetModelCustomMetadatumArtifactContentRequest request)`	Downloads model custom metadata artifact content for specified model metadata key.
`GetModelDefinedMetadatumArtifactContentResponse`	`getModelDefinedMetadatumArtifactContent(GetModelDefinedMetadatumArtifactContentRequest request)`	Downloads model defined metadata artifact content for specified model metadata key.
`GetModelDeploymentResponse`	`getModelDeployment(GetModelDeploymentRequest request)`	Retrieves the model deployment for the specified `modelDeploymentId`.
`GetModelProvenanceResponse`	`getModelProvenance(GetModelProvenanceRequest request)`	Gets provenance information for specified model.
`GetModelVersionSetResponse`	`getModelVersionSet(GetModelVersionSetRequest request)`	Gets the specified model version set information.
`GetNotebookSessionResponse`	`getNotebookSession(GetNotebookSessionRequest request)`	Gets the specified notebook session’s information.
`DataSciencePaginators`	`getPaginators()`	Gets the pre-configured paginators available for list operations in this service which may return multiple pages of data.
`GetPipelineResponse`	`getPipeline(GetPipelineRequest request)`	Gets a Pipeline by identifier.
`GetPipelineRunResponse`	`getPipelineRun(GetPipelineRunRequest request)`	Gets a PipelineRun by identifier.
`GetProjectResponse`	`getProject(GetProjectRequest request)`	Gets the specified project’s information.
`GetScheduleResponse`	`getSchedule(GetScheduleRequest request)`	Gets a Schedule by identifier
`GetStepArtifactContentResponse`	`getStepArtifactContent(GetStepArtifactContentRequest request)`	Download the artifact for a step in the pipeline.
`DataScienceWaiters`	`getWaiters()`	Gets the pre-configured waiters available for resources for this service.
`GetWorkRequestResponse`	`getWorkRequest(GetWorkRequestRequest request)`	Gets the specified work request’s information.
`HeadJobArtifactResponse`	`headJobArtifact(HeadJobArtifactRequest request)`	Gets job artifact metadata.
`HeadModelArtifactResponse`	`headModelArtifact(HeadModelArtifactRequest request)`	Gets model artifact metadata for specified model.
`HeadModelCustomMetadatumArtifactResponse`	`headModelCustomMetadatumArtifact(HeadModelCustomMetadatumArtifactRequest request)`	Gets custom metadata artifact metadata for specified model metadata key.
`HeadModelDefinedMetadatumArtifactResponse`	`headModelDefinedMetadatumArtifact(HeadModelDefinedMetadatumArtifactRequest request)`	Gets defined metadata artifact metadata for specified model metadata key.
`HeadStepArtifactResponse`	`headStepArtifact(HeadStepArtifactRequest request)`	Get the artifact metadata for a step in the pipeline.
`ImportModelArtifactResponse`	`importModelArtifact(ImportModelArtifactRequest request)`	Import model artifact from service bucket
`ListContainersResponse`	`listContainers(ListContainersRequest request)`	List containers.
`ListDataSciencePrivateEndpointsResponse`	`listDataSciencePrivateEndpoints(ListDataSciencePrivateEndpointsRequest request)`	Lists all Data Science private endpoints in the specified compartment.
`ListFastLaunchJobConfigsResponse`	`listFastLaunchJobConfigs(ListFastLaunchJobConfigsRequest request)`	List fast launch capable job configs in the specified compartment.
`ListJobRunsResponse`	`listJobRuns(ListJobRunsRequest request)`	List out job runs.
`ListJobsResponse`	`listJobs(ListJobsRequest request)`	List jobs in the specified compartment.
`ListJobShapesResponse`	`listJobShapes(ListJobShapesRequest request)`	List job shapes available in the specified compartment.
`ListMlApplicationImplementationsResponse`	`listMlApplicationImplementations(ListMlApplicationImplementationsRequest request)`	Returns a list of MlApplicationImplementations.
`ListMlApplicationImplementationVersionsResponse`	`listMlApplicationImplementationVersions(ListMlApplicationImplementationVersionsRequest request)`	Returns a list of MlApplicationImplementationVersions.
`ListMlApplicationInstancesResponse`	`listMlApplicationInstances(ListMlApplicationInstancesRequest request)`	Returns a list of MlApplicationsInstances.
`ListMlApplicationInstanceViewsResponse`	`listMlApplicationInstanceViews(ListMlApplicationInstanceViewsRequest request)`	Returns a list of MlApplicationInstanceViews.
`ListMlApplicationsResponse`	`listMlApplications(ListMlApplicationsRequest request)`	Returns a list of MlApplications.
`ListModelDeploymentsResponse`	`listModelDeployments(ListModelDeploymentsRequest request)`	Lists all model deployments in the specified compartment.
`ListModelDeploymentShapesResponse`	`listModelDeploymentShapes(ListModelDeploymentShapesRequest request)`	Lists the valid model deployment shapes.
`ListModelsResponse`	`listModels(ListModelsRequest request)`	Lists models in the specified compartment.
`ListModelVersionSetsResponse`	`listModelVersionSets(ListModelVersionSetsRequest request)`	Lists model version sets in the specified compartment.
`ListNotebookSessionsResponse`	`listNotebookSessions(ListNotebookSessionsRequest request)`	Lists the notebook sessions in the specified compartment.
`ListNotebookSessionShapesResponse`	`listNotebookSessionShapes(ListNotebookSessionShapesRequest request)`	Lists the valid notebook session shapes.
`ListPipelineRunsResponse`	`listPipelineRuns(ListPipelineRunsRequest request)`	Returns a list of PipelineRuns.
`ListPipelinesResponse`	`listPipelines(ListPipelinesRequest request)`	Returns a list of Pipelines.
`ListProjectsResponse`	`listProjects(ListProjectsRequest request)`	Lists projects in the specified compartment.
`ListSchedulesResponse`	`listSchedules(ListSchedulesRequest request)`	Returns a list of Schedules.
`ListWorkRequestErrorsResponse`	`listWorkRequestErrors(ListWorkRequestErrorsRequest request)`	Lists work request errors for the specified work request.
`ListWorkRequestLogsResponse`	`listWorkRequestLogs(ListWorkRequestLogsRequest request)`	Lists work request logs for the specified work request.
`ListWorkRequestsResponse`	`listWorkRequests(ListWorkRequestsRequest request)`	Lists work requests in the specified compartment.
`void`	`populateServiceParametersInEndpoint(String endpoint, Map<String,Object> requiredParametersMap)`	Populate the parameters in the endpoint with its corresponding value and update the base endpoint.
`PutMlApplicationPackageResponse`	`putMlApplicationPackage(PutMlApplicationPackageRequest request)`	Upload ML Application Package
`RecoverMlApplicationInstanceViewResponse`	`recoverMlApplicationInstanceView(RecoverMlApplicationInstanceViewRequest request)`	Provider can initiate recovery of the resource only if MlApplicationInstanceView is in one of the recoverable sub-states (RECOVERABLE_PROVIDER_ISSUE, RECOVERABLE_SERVICE_ISSUE).
`void`	`refreshClient()`	Rebuild the backing `HttpClient`.
`RegisterModelArtifactReferenceResponse`	`registerModelArtifactReference(RegisterModelArtifactReferenceRequest request)`	Registers model artifact reference metadata
`RestoreArchivedModelArtifactResponse`	`restoreArchivedModelArtifact(RestoreArchivedModelArtifactRequest request)`	Restore archived model artifact
`void`	`setEndpoint(String endpoint)`
`void`	`setRegion(Region region)`	Sets the region to call (ex, Region.US_PHOENIX_1).
`void`	`setRegion(String regionId)`	Sets the region to call (ex, ‘us-phoenix-1’).
`TriggerMlApplicationInstanceFlowResponse`	`triggerMlApplicationInstanceFlow(TriggerMlApplicationInstanceFlowRequest request)`	Trigger ML Application Instance flow if possible
`TriggerMlApplicationInstanceViewFlowResponse`	`triggerMlApplicationInstanceViewFlow(TriggerMlApplicationInstanceViewFlowRequest request)`	Trigger ML Application Instance View flow if possible
`void`	`updateBaseEndpoint(String endpoint)`	This method should be used for parameterized endpoint templates only.
`UpdateDataSciencePrivateEndpointResponse`	`updateDataSciencePrivateEndpoint(UpdateDataSciencePrivateEndpointRequest request)`	Updates a private endpoint using a `privateEndpointId`.
`UpdateJobResponse`	`updateJob(UpdateJobRequest request)`	Updates a job.
`UpdateJobRunResponse`	`updateJobRun(UpdateJobRunRequest request)`	Updates a job run.
`UpdateMlApplicationResponse`	`updateMlApplication(UpdateMlApplicationRequest request)`	Updates the MlApplication
`UpdateMlApplicationImplementationResponse`	`updateMlApplicationImplementation(UpdateMlApplicationImplementationRequest request)`	Updates the MlApplicationImplementation
`UpdateMlApplicationImplementationVersionResponse`	`updateMlApplicationImplementationVersion(UpdateMlApplicationImplementationVersionRequest request)`	Updates the MlApplicationImplementationVersion
`UpdateMlApplicationInstanceResponse`	`updateMlApplicationInstance(UpdateMlApplicationInstanceRequest request)`	Updates the MlApplicationInstance
`UpdateMlApplicationInstanceViewResponse`	`updateMlApplicationInstanceView(UpdateMlApplicationInstanceViewRequest request)`	Updates the MlApplicationInstanceView
`UpdateModelResponse`	`updateModel(UpdateModelRequest request)`	Updates the properties of a model.
`UpdateModelCustomMetadatumArtifactResponse`	`updateModelCustomMetadatumArtifact(UpdateModelCustomMetadatumArtifactRequest request)`	Updates model custom metadata artifact for specified model metadata key.
`UpdateModelDefinedMetadatumArtifactResponse`	`updateModelDefinedMetadatumArtifact(UpdateModelDefinedMetadatumArtifactRequest request)`	Updates model defined metadata artifact for specified model metadata key.
`UpdateModelDeploymentResponse`	`updateModelDeployment(UpdateModelDeploymentRequest request)`	Updates the properties of a model deployment.
`UpdateModelProvenanceResponse`	`updateModelProvenance(UpdateModelProvenanceRequest request)`	Updates the provenance information for the specified model.
`UpdateModelVersionSetResponse`	`updateModelVersionSet(UpdateModelVersionSetRequest request)`	Updates the properties of a model version set.
`UpdateNotebookSessionResponse`	`updateNotebookSession(UpdateNotebookSessionRequest request)`	Updates the properties of a notebook session.
`UpdatePipelineResponse`	`updatePipeline(UpdatePipelineRequest request)`	Updates the Pipeline.
`UpdatePipelineRunResponse`	`updatePipelineRun(UpdatePipelineRunRequest request)`	Updates the PipelineRun.
`UpdateProjectResponse`	`updateProject(UpdateProjectRequest request)`	Updates the properties of a project.
`UpdateScheduleResponse`	`updateSchedule(UpdateScheduleRequest request)`	Updates the Schedule
`void`	`useRealmSpecificEndpointTemplate(boolean useOfRealmSpecificEndpointTemplateEnabled)`	This method should be used to enable or disable the use of realm-specific endpoint template.

Methods inherited from class com.oracle.bmc.http.internal.BaseSyncClient
clientCall

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.lang.AutoCloseable
close

Methods inherited from interface com.oracle.bmc.datascience.DataScience
getEndpoint, refreshClient, setEndpoint, useRealmSpecificEndpointTemplate

- Field Detail
  - SERVICE
```
public static final Service SERVICE
```
    Service instance for DataScience.
  - clientCommonLibraryVersion
```
public final String clientCommonLibraryVersion
```
    Compatible SDK version, provided by the codegen.
  - minimumClientCommonLibraryVersionFromClient
```
public final Optional<String> minimumClientCommonLibraryVersionFromClient
```
    Minimum compatible SDK version, maybe provided by the codegen.
- Constructor Detail
  - DataScienceClient
```
@Deprecated
public DataScienceClient(BasicAuthenticationDetailsProvider authenticationDetailsProvider)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
  - DataScienceClient
```
@Deprecated
public DataScienceClient(BasicAuthenticationDetailsProvider authenticationDetailsProvider,
                         ClientConfiguration configuration)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
    
    configuration - ClientBuilderBase.configuration
  - DataScienceClient
```
@Deprecated
public DataScienceClient(BasicAuthenticationDetailsProvider authenticationDetailsProvider,
                         ClientConfiguration configuration,
                         ClientConfigurator clientConfigurator)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
    
    configuration - ClientBuilderBase.configuration
    
    clientConfigurator - ClientBuilderBase.clientConfigurator(com.oracle.bmc.http.ClientConfigurator)
  - DataScienceClient
```
@Deprecated
public DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider,
                         ClientConfiguration configuration,
                         ClientConfigurator clientConfigurator,
                         RequestSignerFactory defaultRequestSignerFactory)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
    
    configuration - ClientBuilderBase.configuration
    
    clientConfigurator - ClientBuilderBase.clientConfigurator(com.oracle.bmc.http.ClientConfigurator)
    
    defaultRequestSignerFactory - ClientBuilderBase.requestSignerFactory
  - DataScienceClient
```
@Deprecated
public DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider,
                         ClientConfiguration configuration,
                         ClientConfigurator clientConfigurator,
                         RequestSignerFactory defaultRequestSignerFactory,
                         List<ClientConfigurator> additionalClientConfigurators)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
    
    configuration - ClientBuilderBase.configuration
    
    clientConfigurator - ClientBuilderBase.clientConfigurator(com.oracle.bmc.http.ClientConfigurator)
    
    defaultRequestSignerFactory - ClientBuilderBase.requestSignerFactory
    
    additionalClientConfigurators - ClientBuilderBase.additionalClientConfigurators
  - DataScienceClient
```
@Deprecated
public DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider,
                         ClientConfiguration configuration,
                         ClientConfigurator clientConfigurator,
                         RequestSignerFactory defaultRequestSignerFactory,
                         List<ClientConfigurator> additionalClientConfigurators,
                         String endpoint)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
    
    configuration - ClientBuilderBase.configuration
    
    clientConfigurator - ClientBuilderBase.clientConfigurator(com.oracle.bmc.http.ClientConfigurator)
    
    defaultRequestSignerFactory - ClientBuilderBase.requestSignerFactory
    
    additionalClientConfigurators - ClientBuilderBase.additionalClientConfigurators
    
    endpoint - ClientBuilderBase.endpoint(java.lang.String)
  - DataScienceClient
```
@Deprecated
public DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider,
                         ClientConfiguration configuration,
                         ClientConfigurator clientConfigurator,
                         RequestSignerFactory defaultRequestSignerFactory,
                         Map<SigningStrategy,RequestSignerFactory> signingStrategyRequestSignerFactories,
                         List<ClientConfigurator> additionalClientConfigurators,
                         String endpoint)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
    
    configuration - ClientBuilderBase.configuration
    
    clientConfigurator - ClientBuilderBase.clientConfigurator(com.oracle.bmc.http.ClientConfigurator)
    
    defaultRequestSignerFactory - ClientBuilderBase.requestSignerFactory
    
    additionalClientConfigurators - ClientBuilderBase.additionalClientConfigurators
    
    endpoint - ClientBuilderBase.endpoint(java.lang.String)
    
    signingStrategyRequestSignerFactories - ClientBuilderBase.signingStrategyRequestSignerFactories
  - DataScienceClient
```
@Deprecated
public DataScienceClient(AbstractAuthenticationDetailsProvider authenticationDetailsProvider,
                         ClientConfiguration configuration,
                         ClientConfigurator clientConfigurator,
                         RequestSignerFactory defaultRequestSignerFactory,
                         Map<SigningStrategy,RequestSignerFactory> signingStrategyRequestSignerFactories,
                         List<ClientConfigurator> additionalClientConfigurators,
                         String endpoint,
                         ExecutorService executorService)
```
    Deprecated.
    Use the builder instead.
    
    Create a new client instance.
    
    Parameters:
    
    authenticationDetailsProvider - The authentication details (see DataScienceClient.Builder.build(com.oracle.bmc.auth.AbstractAuthenticationDetailsProvider))
    
    configuration - ClientBuilderBase.configuration
    
    clientConfigurator - ClientBuilderBase.clientConfigurator(com.oracle.bmc.http.ClientConfigurator)
    
    defaultRequestSignerFactory - ClientBuilderBase.requestSignerFactory
    
    additionalClientConfigurators - ClientBuilderBase.additionalClientConfigurators
    
    endpoint - ClientBuilderBase.endpoint(java.lang.String)
    
    signingStrategyRequestSignerFactories - ClientBuilderBase.signingStrategyRequestSignerFactories
    
    executorService - DataScienceClient.Builder.executorService
- Method Detail
  - builder
```
public static DataScienceClient.Builder builder()
```
    Create a builder for this client.
    
    Returns:
    
    builder
  - setRegion
```
public void setRegion(Region region)
```
    Description copied from interface: DataScience
    
    Sets the region to call (ex, Region.US_PHOENIX_1).
    Note, this will call setEndpoint after resolving the endpoint. If the service is not available in this Region, however, an IllegalArgumentException will be raised.
    
    Specified by:
    
    setRegion in interface DataScience
    
    Parameters:
    
    region - The region of the service.
  - setRegion
```
public void setRegion(String regionId)
```
    Description copied from interface: DataScience
    
    Sets the region to call (ex, ‘us-phoenix-1’).
    Note, this will first try to map the region ID to a known Region and call setRegion.
    If no known Region could be determined, it will create an endpoint based on the default endpoint format (Region.formatDefaultRegionEndpoint(Service, String) and then call setEndpoint.
    
    Specified by:
    
    setRegion in interface DataScience
    
    Parameters:
    
    regionId - The public region ID.
  - activateModel
```
public ActivateModelResponse activateModel(ActivateModelRequest request)
```
    Description copied from interface: DataScience
    
    Activates the model.
    
    Specified by:
    
    activateModel in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - activateModelDeployment
```
public ActivateModelDeploymentResponse activateModelDeployment(ActivateModelDeploymentRequest request)
```
    Description copied from interface: DataScience
    
    Activates the model deployment.
    
    Specified by:
    
    activateModelDeployment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - activateNotebookSession
```
public ActivateNotebookSessionResponse activateNotebookSession(ActivateNotebookSessionRequest request)
```
    Description copied from interface: DataScience
    
    Activates the notebook session.
    
    Specified by:
    
    activateNotebookSession in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - activateSchedule
```
public ActivateScheduleResponse activateSchedule(ActivateScheduleRequest request)
```
    Description copied from interface: DataScience
    
    Activate schedule.
    
    Specified by:
    
    activateSchedule in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - cancelJobRun
```
public CancelJobRunResponse cancelJobRun(CancelJobRunRequest request)
```
    Description copied from interface: DataScience
    
    Cancels an IN_PROGRESS job run.
    
    Specified by:
    
    cancelJobRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - cancelPipelineRun
```
public CancelPipelineRunResponse cancelPipelineRun(CancelPipelineRunRequest request)
```
    Description copied from interface: DataScience
    
    Cancel a PipelineRun.
    
    Specified by:
    
    cancelPipelineRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - cancelWorkRequest
```
public CancelWorkRequestResponse cancelWorkRequest(CancelWorkRequestRequest request)
```
    Description copied from interface: DataScience
    
    Cancels a work request that has not started.
    
    Specified by:
    
    cancelWorkRequest in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeDataSciencePrivateEndpointCompartment
```
public ChangeDataSciencePrivateEndpointCompartmentResponse changeDataSciencePrivateEndpointCompartment(ChangeDataSciencePrivateEndpointCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a private endpoint into a different compartment.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changeDataSciencePrivateEndpointCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeJobCompartment
```
public ChangeJobCompartmentResponse changeJobCompartment(ChangeJobCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Changes a job’s compartment
    
    Specified by:
    
    changeJobCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeJobRunCompartment
```
public ChangeJobRunCompartmentResponse changeJobRunCompartment(ChangeJobRunCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Changes a job run’s compartment
    
    Specified by:
    
    changeJobRunCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeMlApplicationCompartment
```
public ChangeMlApplicationCompartmentResponse changeMlApplicationCompartment(ChangeMlApplicationCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a MlApplication resource from one compartment identifier to another.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changeMlApplicationCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeMlApplicationImplementationCompartment
```
public ChangeMlApplicationImplementationCompartmentResponse changeMlApplicationImplementationCompartment(ChangeMlApplicationImplementationCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a MlApplicationImplementation resource from one compartment identifier to another.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changeMlApplicationImplementationCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeMlApplicationInstanceCompartment
```
public ChangeMlApplicationInstanceCompartmentResponse changeMlApplicationInstanceCompartment(ChangeMlApplicationInstanceCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a MlApplicationInstance resource from one compartment identifier to another.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changeMlApplicationInstanceCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeMlApplicationInstanceViewCompartment
```
public ChangeMlApplicationInstanceViewCompartmentResponse changeMlApplicationInstanceViewCompartment(ChangeMlApplicationInstanceViewCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a MlApplicationInstanceView resource from one compartment identifier to another.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changeMlApplicationInstanceViewCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeModelCompartment
```
public ChangeModelCompartmentResponse changeModelCompartment(ChangeModelCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a model resource into a different compartment.
    
    Specified by:
    
    changeModelCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeModelDeploymentCompartment
```
public ChangeModelDeploymentCompartmentResponse changeModelDeploymentCompartment(ChangeModelDeploymentCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a model deployment into a different compartment.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changeModelDeploymentCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeModelVersionSetCompartment
```
public ChangeModelVersionSetCompartmentResponse changeModelVersionSetCompartment(ChangeModelVersionSetCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a modelVersionSet resource into a different compartment.
    
    Specified by:
    
    changeModelVersionSetCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeNotebookSessionCompartment
```
public ChangeNotebookSessionCompartmentResponse changeNotebookSessionCompartment(ChangeNotebookSessionCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a notebook session resource into a different compartment.
    
    Specified by:
    
    changeNotebookSessionCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changePipelineCompartment
```
public ChangePipelineCompartmentResponse changePipelineCompartment(ChangePipelineCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a resource into a different compartment.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changePipelineCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changePipelineRunCompartment
```
public ChangePipelineRunCompartmentResponse changePipelineRunCompartment(ChangePipelineRunCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a resource into a different compartment.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changePipelineRunCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeProjectCompartment
```
public ChangeProjectCompartmentResponse changeProjectCompartment(ChangeProjectCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a project resource into a different compartment.
    
    Specified by:
    
    changeProjectCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - changeScheduleCompartment
```
public ChangeScheduleCompartmentResponse changeScheduleCompartment(ChangeScheduleCompartmentRequest request)
```
    Description copied from interface: DataScience
    
    Moves a Schedule resource from one compartment identifier to another.
    When provided, If-Match is checked against ETag values of the resource.
    
    Specified by:
    
    changeScheduleCompartment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createDataSciencePrivateEndpoint
```
public CreateDataSciencePrivateEndpointResponse createDataSciencePrivateEndpoint(CreateDataSciencePrivateEndpointRequest request)
```
    Description copied from interface: DataScience
    
    Creates a Data Science private endpoint to be used by a Data Science resource.
    
    Specified by:
    
    createDataSciencePrivateEndpoint in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createJob
```
public CreateJobResponse createJob(CreateJobRequest request)
```
    Description copied from interface: DataScience
    
    Creates a job.
    
    Specified by:
    
    createJob in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createJobArtifact
```
public CreateJobArtifactResponse createJobArtifact(CreateJobArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Uploads a job artifact.
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    createJobArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createJobRun
```
public CreateJobRunResponse createJobRun(CreateJobRunRequest request)
```
    Description copied from interface: DataScience
    
    Creates a job run.
    
    Specified by:
    
    createJobRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createMlApplication
```
public CreateMlApplicationResponse createMlApplication(CreateMlApplicationRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new MlApplication.
    
    Specified by:
    
    createMlApplication in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createMlApplicationImplementation
```
public CreateMlApplicationImplementationResponse createMlApplicationImplementation(CreateMlApplicationImplementationRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new MlApplicationImplementation.
    
    Specified by:
    
    createMlApplicationImplementation in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createMlApplicationInstance
```
public CreateMlApplicationInstanceResponse createMlApplicationInstance(CreateMlApplicationInstanceRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new MlApplicationInstance.
    
    Specified by:
    
    createMlApplicationInstance in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createModel
```
public CreateModelResponse createModel(CreateModelRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new model.
    
    Specified by:
    
    createModel in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createModelArtifact
```
public CreateModelArtifactResponse createModelArtifact(CreateModelArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Creates model artifact for specified model.
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    createModelArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createModelCustomMetadatumArtifact
```
public CreateModelCustomMetadatumArtifactResponse createModelCustomMetadatumArtifact(CreateModelCustomMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Creates model custom metadata artifact for specified model.
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    createModelCustomMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createModelDefinedMetadatumArtifact
```
public CreateModelDefinedMetadatumArtifactResponse createModelDefinedMetadatumArtifact(CreateModelDefinedMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Creates model defined metadata artifact for specified model.
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    createModelDefinedMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createModelDeployment
```
public CreateModelDeploymentResponse createModelDeployment(CreateModelDeploymentRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new model deployment.
    
    Specified by:
    
    createModelDeployment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createModelProvenance
```
public CreateModelProvenanceResponse createModelProvenance(CreateModelProvenanceRequest request)
```
    Description copied from interface: DataScience
    
    Creates provenance information for the specified model.
    
    Specified by:
    
    createModelProvenance in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createModelVersionSet
```
public CreateModelVersionSetResponse createModelVersionSet(CreateModelVersionSetRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new modelVersionSet.
    
    Specified by:
    
    createModelVersionSet in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createNotebookSession
```
public CreateNotebookSessionResponse createNotebookSession(CreateNotebookSessionRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new notebook session.
    
    Specified by:
    
    createNotebookSession in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createPipeline
```
public CreatePipelineResponse createPipeline(CreatePipelineRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new Pipeline.
    
    Specified by:
    
    createPipeline in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createPipelineRun
```
public CreatePipelineRunResponse createPipelineRun(CreatePipelineRunRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new PipelineRun.
    
    Specified by:
    
    createPipelineRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createProject
```
public CreateProjectResponse createProject(CreateProjectRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new project.
    
    Specified by:
    
    createProject in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createSchedule
```
public CreateScheduleResponse createSchedule(CreateScheduleRequest request)
```
    Description copied from interface: DataScience
    
    Creates a new Schedule.
    
    Specified by:
    
    createSchedule in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - createStepArtifact
```
public CreateStepArtifactResponse createStepArtifact(CreateStepArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Upload the artifact for a step in the pipeline.
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    createStepArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deactivateModel
```
public DeactivateModelResponse deactivateModel(DeactivateModelRequest request)
```
    Description copied from interface: DataScience
    
    Deactivates the model.
    
    Specified by:
    
    deactivateModel in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deactivateModelDeployment
```
public DeactivateModelDeploymentResponse deactivateModelDeployment(DeactivateModelDeploymentRequest request)
```
    Description copied from interface: DataScience
    
    Deactivates the model deployment.
    
    Specified by:
    
    deactivateModelDeployment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deactivateNotebookSession
```
public DeactivateNotebookSessionResponse deactivateNotebookSession(DeactivateNotebookSessionRequest request)
```
    Description copied from interface: DataScience
    
    Deactivates the notebook session.
    
    Specified by:
    
    deactivateNotebookSession in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deactivateSchedule
```
public DeactivateScheduleResponse deactivateSchedule(DeactivateScheduleRequest request)
```
    Description copied from interface: DataScience
    
    Deactivate schedule.
    
    Specified by:
    
    deactivateSchedule in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteDataSciencePrivateEndpoint
```
public DeleteDataSciencePrivateEndpointResponse deleteDataSciencePrivateEndpoint(DeleteDataSciencePrivateEndpointRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a private endpoint using privateEndpointId.
    
    Specified by:
    
    deleteDataSciencePrivateEndpoint in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteJob
```
public DeleteJobResponse deleteJob(DeleteJobRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a job.
    
    Specified by:
    
    deleteJob in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteJobRun
```
public DeleteJobRunResponse deleteJobRun(DeleteJobRunRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a job run.
    
    Specified by:
    
    deleteJobRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteMlApplication
```
public DeleteMlApplicationResponse deleteMlApplication(DeleteMlApplicationRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a MlApplication resource by identifier
    
    Specified by:
    
    deleteMlApplication in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteMlApplicationImplementation
```
public DeleteMlApplicationImplementationResponse deleteMlApplicationImplementation(DeleteMlApplicationImplementationRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a MlApplicationImplementation resource by identifier
    
    Specified by:
    
    deleteMlApplicationImplementation in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteMlApplicationInstance
```
public DeleteMlApplicationInstanceResponse deleteMlApplicationInstance(DeleteMlApplicationInstanceRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a MlApplicationInstance resource by identifier
    
    Specified by:
    
    deleteMlApplicationInstance in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteModel
```
public DeleteModelResponse deleteModel(DeleteModelRequest request)
```
    Description copied from interface: DataScience
    
    Deletes the specified model.
    
    Specified by:
    
    deleteModel in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteModelCustomMetadatumArtifact
```
public DeleteModelCustomMetadatumArtifactResponse deleteModelCustomMetadatumArtifact(DeleteModelCustomMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Deletes model custom metadata artifact for specified model metadata key.
    
    Specified by:
    
    deleteModelCustomMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteModelDefinedMetadatumArtifact
```
public DeleteModelDefinedMetadatumArtifactResponse deleteModelDefinedMetadatumArtifact(DeleteModelDefinedMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Deletes model defined metadata artifact for specified model metadata key.
    
    Specified by:
    
    deleteModelDefinedMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteModelDeployment
```
public DeleteModelDeploymentResponse deleteModelDeployment(DeleteModelDeploymentRequest request)
```
    Description copied from interface: DataScience
    
    Deletes the specified model deployment.
    Any unsaved work in this model deployment is lost.
    
    Specified by:
    
    deleteModelDeployment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteModelVersionSet
```
public DeleteModelVersionSetResponse deleteModelVersionSet(DeleteModelVersionSetRequest request)
```
    Description copied from interface: DataScience
    
    Deletes the specified modelVersionSet.
    
    Specified by:
    
    deleteModelVersionSet in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteNotebookSession
```
public DeleteNotebookSessionResponse deleteNotebookSession(DeleteNotebookSessionRequest request)
```
    Description copied from interface: DataScience
    
    Deletes the specified notebook session.
    Any unsaved work in this notebook session are lost.
    
    Specified by:
    
    deleteNotebookSession in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deletePipeline
```
public DeletePipelineResponse deletePipeline(DeletePipelineRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a Pipeline resource by identifier.
    
    Specified by:
    
    deletePipeline in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deletePipelineRun
```
public DeletePipelineRunResponse deletePipelineRun(DeletePipelineRunRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a PipelineRun resource by identifier.
    
    Specified by:
    
    deletePipelineRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteProject
```
public DeleteProjectResponse deleteProject(DeleteProjectRequest request)
```
    Description copied from interface: DataScience
    
    Deletes the specified project.
    This operation fails unless all associated resources (notebook sessions or models) are in a DELETED state. You must delete all associated resources before deleting a project.
    
    Specified by:
    
    deleteProject in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - deleteSchedule
```
public DeleteScheduleResponse deleteSchedule(DeleteScheduleRequest request)
```
    Description copied from interface: DataScience
    
    Deletes a Schedule resource by identifier
    
    Specified by:
    
    deleteSchedule in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - disableMlApplicationInstanceViewTrigger
```
public DisableMlApplicationInstanceViewTriggerResponse disableMlApplicationInstanceViewTrigger(DisableMlApplicationInstanceViewTriggerRequest request)
```
    Description copied from interface: DataScience
    
    Disable trigger of given name for given ML Application Instance View flow
    
    Specified by:
    
    disableMlApplicationInstanceViewTrigger in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - enableMlApplicationInstanceViewTrigger
```
public EnableMlApplicationInstanceViewTriggerResponse enableMlApplicationInstanceViewTrigger(EnableMlApplicationInstanceViewTriggerRequest request)
```
    Description copied from interface: DataScience
    
    Enable trigger of given name for given ML Application Instance View flow
    
    Specified by:
    
    enableMlApplicationInstanceViewTrigger in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - exportModelArtifact
```
public ExportModelArtifactResponse exportModelArtifact(ExportModelArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Export model artifact from source to the service bucket
    
    Specified by:
    
    exportModelArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getDataSciencePrivateEndpoint
```
public GetDataSciencePrivateEndpointResponse getDataSciencePrivateEndpoint(GetDataSciencePrivateEndpointRequest request)
```
    Description copied from interface: DataScience
    
    Retrieves an private endpoint using a privateEndpointId.
    
    Specified by:
    
    getDataSciencePrivateEndpoint in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getJob
```
public GetJobResponse getJob(GetJobRequest request)
```
    Description copied from interface: DataScience
    
    Gets a job.
    
    Specified by:
    
    getJob in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getJobArtifactContent
```
public GetJobArtifactContentResponse getJobArtifactContent(GetJobArtifactContentRequest request)
```
    Description copied from interface: DataScience
    
    Downloads job artifact content for specified job.
    
    Specified by:
    
    getJobArtifactContent in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getJobRun
```
public GetJobRunResponse getJobRun(GetJobRunRequest request)
```
    Description copied from interface: DataScience
    
    Gets a job run.
    
    Specified by:
    
    getJobRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getMlApplication
```
public GetMlApplicationResponse getMlApplication(GetMlApplicationRequest request)
```
    Description copied from interface: DataScience
    
    Gets a MlApplication by identifier
    
    Specified by:
    
    getMlApplication in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getMlApplicationHistoricalPackageContent
```
public GetMlApplicationHistoricalPackageContentResponse getMlApplicationHistoricalPackageContent(GetMlApplicationHistoricalPackageContentRequest request)
```
    Description copied from interface: DataScience
    
    Retrieves ML Application package for MlApplicationImplementationVersion with given id.
    
    Specified by:
    
    getMlApplicationHistoricalPackageContent in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getMlApplicationImplementation
```
public GetMlApplicationImplementationResponse getMlApplicationImplementation(GetMlApplicationImplementationRequest request)
```
    Description copied from interface: DataScience
    
    Gets a MlApplicationImplementation by identifier
    
    Specified by:
    
    getMlApplicationImplementation in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getMlApplicationImplementationVersion
```
public GetMlApplicationImplementationVersionResponse getMlApplicationImplementationVersion(GetMlApplicationImplementationVersionRequest request)
```
    Description copied from interface: DataScience
    
    Gets a MlApplicationImplementationVersion by identifier
    
    Specified by:
    
    getMlApplicationImplementationVersion in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getMlApplicationInstance
```
public GetMlApplicationInstanceResponse getMlApplicationInstance(GetMlApplicationInstanceRequest request)
```
    Description copied from interface: DataScience
    
    Gets a MlApplicationInstance by identifier
    
    Specified by:
    
    getMlApplicationInstance in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getMlApplicationInstanceView
```
public GetMlApplicationInstanceViewResponse getMlApplicationInstanceView(GetMlApplicationInstanceViewRequest request)
```
    Description copied from interface: DataScience
    
    Gets a MlApplicationInstanceView by identifier
    
    Specified by:
    
    getMlApplicationInstanceView in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getMlApplicationPackageContent
```
public GetMlApplicationPackageContentResponse getMlApplicationPackageContent(GetMlApplicationPackageContentRequest request)
```
    Description copied from interface: DataScience
    
    Retrieves last ML Application package uploaded for given ML Application Implementation
    
    Specified by:
    
    getMlApplicationPackageContent in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getModel
```
public GetModelResponse getModel(GetModelRequest request)
```
    Description copied from interface: DataScience
    
    Gets the specified model’s information.
    
    Specified by:
    
    getModel in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getModelArtifactContent
```
public GetModelArtifactContentResponse getModelArtifactContent(GetModelArtifactContentRequest request)
```
    Description copied from interface: DataScience
    
    Downloads model artifact content for specified model.
    
    Specified by:
    
    getModelArtifactContent in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getModelCustomMetadatumArtifactContent
```
public GetModelCustomMetadatumArtifactContentResponse getModelCustomMetadatumArtifactContent(GetModelCustomMetadatumArtifactContentRequest request)
```
    Description copied from interface: DataScience
    
    Downloads model custom metadata artifact content for specified model metadata key.
    
    Specified by:
    
    getModelCustomMetadatumArtifactContent in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getModelDefinedMetadatumArtifactContent
```
public GetModelDefinedMetadatumArtifactContentResponse getModelDefinedMetadatumArtifactContent(GetModelDefinedMetadatumArtifactContentRequest request)
```
    Description copied from interface: DataScience
    
    Downloads model defined metadata artifact content for specified model metadata key.
    
    Specified by:
    
    getModelDefinedMetadatumArtifactContent in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getModelDeployment
```
public GetModelDeploymentResponse getModelDeployment(GetModelDeploymentRequest request)
```
    Description copied from interface: DataScience
    
    Retrieves the model deployment for the specified modelDeploymentId.
    
    Specified by:
    
    getModelDeployment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getModelProvenance
```
public GetModelProvenanceResponse getModelProvenance(GetModelProvenanceRequest request)
```
    Description copied from interface: DataScience
    
    Gets provenance information for specified model.
    
    Specified by:
    
    getModelProvenance in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getModelVersionSet
```
public GetModelVersionSetResponse getModelVersionSet(GetModelVersionSetRequest request)
```
    Description copied from interface: DataScience
    
    Gets the specified model version set information.
    
    Specified by:
    
    getModelVersionSet in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getNotebookSession
```
public GetNotebookSessionResponse getNotebookSession(GetNotebookSessionRequest request)
```
    Description copied from interface: DataScience
    
    Gets the specified notebook session’s information.
    
    Specified by:
    
    getNotebookSession in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getPipeline
```
public GetPipelineResponse getPipeline(GetPipelineRequest request)
```
    Description copied from interface: DataScience
    
    Gets a Pipeline by identifier.
    
    Specified by:
    
    getPipeline in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getPipelineRun
```
public GetPipelineRunResponse getPipelineRun(GetPipelineRunRequest request)
```
    Description copied from interface: DataScience
    
    Gets a PipelineRun by identifier.
    
    Specified by:
    
    getPipelineRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getProject
```
public GetProjectResponse getProject(GetProjectRequest request)
```
    Description copied from interface: DataScience
    
    Gets the specified project’s information.
    
    Specified by:
    
    getProject in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getSchedule
```
public GetScheduleResponse getSchedule(GetScheduleRequest request)
```
    Description copied from interface: DataScience
    
    Gets a Schedule by identifier
    
    Specified by:
    
    getSchedule in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getStepArtifactContent
```
public GetStepArtifactContentResponse getStepArtifactContent(GetStepArtifactContentRequest request)
```
    Description copied from interface: DataScience
    
    Download the artifact for a step in the pipeline.
    
    Specified by:
    
    getStepArtifactContent in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getWorkRequest
```
public GetWorkRequestResponse getWorkRequest(GetWorkRequestRequest request)
```
    Description copied from interface: DataScience
    
    Gets the specified work request’s information.
    
    Specified by:
    
    getWorkRequest in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - headJobArtifact
```
public HeadJobArtifactResponse headJobArtifact(HeadJobArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Gets job artifact metadata.
    
    Specified by:
    
    headJobArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - headModelArtifact
```
public HeadModelArtifactResponse headModelArtifact(HeadModelArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Gets model artifact metadata for specified model.
    
    Specified by:
    
    headModelArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - headModelCustomMetadatumArtifact
```
public HeadModelCustomMetadatumArtifactResponse headModelCustomMetadatumArtifact(HeadModelCustomMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Gets custom metadata artifact metadata for specified model metadata key.
    
    Specified by:
    
    headModelCustomMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - headModelDefinedMetadatumArtifact
```
public HeadModelDefinedMetadatumArtifactResponse headModelDefinedMetadatumArtifact(HeadModelDefinedMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Gets defined metadata artifact metadata for specified model metadata key.
    
    Specified by:
    
    headModelDefinedMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - headStepArtifact
```
public HeadStepArtifactResponse headStepArtifact(HeadStepArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Get the artifact metadata for a step in the pipeline.
    
    Specified by:
    
    headStepArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - importModelArtifact
```
public ImportModelArtifactResponse importModelArtifact(ImportModelArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Import model artifact from service bucket
    
    Specified by:
    
    importModelArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listContainers
```
public ListContainersResponse listContainers(ListContainersRequest request)
```
    Description copied from interface: DataScience
    
    List containers.
    
    Specified by:
    
    listContainers in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listDataSciencePrivateEndpoints
```
public ListDataSciencePrivateEndpointsResponse listDataSciencePrivateEndpoints(ListDataSciencePrivateEndpointsRequest request)
```
    Description copied from interface: DataScience
    
    Lists all Data Science private endpoints in the specified compartment.
    The query must include compartmentId. The query can also include one other parameter. If the query doesn’t include compartmentId, or includes compartmentId with two or more other parameters, then an error is returned.
    
    Specified by:
    
    listDataSciencePrivateEndpoints in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listFastLaunchJobConfigs
```
public ListFastLaunchJobConfigsResponse listFastLaunchJobConfigs(ListFastLaunchJobConfigsRequest request)
```
    Description copied from interface: DataScience
    
    List fast launch capable job configs in the specified compartment.
    
    Specified by:
    
    listFastLaunchJobConfigs in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listJobRuns
```
public ListJobRunsResponse listJobRuns(ListJobRunsRequest request)
```
    Description copied from interface: DataScience
    
    List out job runs.
    
    Specified by:
    
    listJobRuns in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listJobShapes
```
public ListJobShapesResponse listJobShapes(ListJobShapesRequest request)
```
    Description copied from interface: DataScience
    
    List job shapes available in the specified compartment.
    
    Specified by:
    
    listJobShapes in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listJobs
```
public ListJobsResponse listJobs(ListJobsRequest request)
```
    Description copied from interface: DataScience
    
    List jobs in the specified compartment.
    
    Specified by:
    
    listJobs in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listMlApplicationImplementationVersions
```
public ListMlApplicationImplementationVersionsResponse listMlApplicationImplementationVersions(ListMlApplicationImplementationVersionsRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of MlApplicationImplementationVersions.
    
    Specified by:
    
    listMlApplicationImplementationVersions in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listMlApplicationImplementations
```
public ListMlApplicationImplementationsResponse listMlApplicationImplementations(ListMlApplicationImplementationsRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of MlApplicationImplementations.
    
    Specified by:
    
    listMlApplicationImplementations in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listMlApplicationInstanceViews
```
public ListMlApplicationInstanceViewsResponse listMlApplicationInstanceViews(ListMlApplicationInstanceViewsRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of MlApplicationInstanceViews.
    
    Specified by:
    
    listMlApplicationInstanceViews in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listMlApplicationInstances
```
public ListMlApplicationInstancesResponse listMlApplicationInstances(ListMlApplicationInstancesRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of MlApplicationsInstances.
    
    Specified by:
    
    listMlApplicationInstances in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listMlApplications
```
public ListMlApplicationsResponse listMlApplications(ListMlApplicationsRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of MlApplications.
    
    Specified by:
    
    listMlApplications in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listModelDeploymentShapes
```
public ListModelDeploymentShapesResponse listModelDeploymentShapes(ListModelDeploymentShapesRequest request)
```
    Description copied from interface: DataScience
    
    Lists the valid model deployment shapes.
    
    Specified by:
    
    listModelDeploymentShapes in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listModelDeployments
```
public ListModelDeploymentsResponse listModelDeployments(ListModelDeploymentsRequest request)
```
    Description copied from interface: DataScience
    
    Lists all model deployments in the specified compartment.
    Only one parameter other than compartmentId may also be included in a query. The query must include compartmentId. If the query does not include compartmentId, or includes compartmentId but two or more other parameters an error is returned.
    
    Specified by:
    
    listModelDeployments in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listModelVersionSets
```
public ListModelVersionSetsResponse listModelVersionSets(ListModelVersionSetsRequest request)
```
    Description copied from interface: DataScience
    
    Lists model version sets in the specified compartment.
    
    Specified by:
    
    listModelVersionSets in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listModels
```
public ListModelsResponse listModels(ListModelsRequest request)
```
    Description copied from interface: DataScience
    
    Lists models in the specified compartment.
    
    Specified by:
    
    listModels in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listNotebookSessionShapes
```
public ListNotebookSessionShapesResponse listNotebookSessionShapes(ListNotebookSessionShapesRequest request)
```
    Description copied from interface: DataScience
    
    Lists the valid notebook session shapes.
    
    Specified by:
    
    listNotebookSessionShapes in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listNotebookSessions
```
public ListNotebookSessionsResponse listNotebookSessions(ListNotebookSessionsRequest request)
```
    Description copied from interface: DataScience
    
    Lists the notebook sessions in the specified compartment.
    
    Specified by:
    
    listNotebookSessions in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listPipelineRuns
```
public ListPipelineRunsResponse listPipelineRuns(ListPipelineRunsRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of PipelineRuns.
    
    Specified by:
    
    listPipelineRuns in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listPipelines
```
public ListPipelinesResponse listPipelines(ListPipelinesRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of Pipelines.
    
    Specified by:
    
    listPipelines in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listProjects
```
public ListProjectsResponse listProjects(ListProjectsRequest request)
```
    Description copied from interface: DataScience
    
    Lists projects in the specified compartment.
    
    Specified by:
    
    listProjects in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listSchedules
```
public ListSchedulesResponse listSchedules(ListSchedulesRequest request)
```
    Description copied from interface: DataScience
    
    Returns a list of Schedules.
    
    Specified by:
    
    listSchedules in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listWorkRequestErrors
```
public ListWorkRequestErrorsResponse listWorkRequestErrors(ListWorkRequestErrorsRequest request)
```
    Description copied from interface: DataScience
    
    Lists work request errors for the specified work request.
    
    Specified by:
    
    listWorkRequestErrors in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listWorkRequestLogs
```
public ListWorkRequestLogsResponse listWorkRequestLogs(ListWorkRequestLogsRequest request)
```
    Description copied from interface: DataScience
    
    Lists work request logs for the specified work request.
    
    Specified by:
    
    listWorkRequestLogs in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - listWorkRequests
```
public ListWorkRequestsResponse listWorkRequests(ListWorkRequestsRequest request)
```
    Description copied from interface: DataScience
    
    Lists work requests in the specified compartment.
    
    Specified by:
    
    listWorkRequests in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - putMlApplicationPackage
```
public PutMlApplicationPackageResponse putMlApplicationPackage(PutMlApplicationPackageRequest request)
```
    Description copied from interface: DataScience
    
    Upload ML Application Package
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    putMlApplicationPackage in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - recoverMlApplicationInstanceView
```
public RecoverMlApplicationInstanceViewResponse recoverMlApplicationInstanceView(RecoverMlApplicationInstanceViewRequest request)
```
    Description copied from interface: DataScience
    
    Provider can initiate recovery of the resource only if MlApplicationInstanceView is in one of the recoverable sub-states (RECOVERABLE_PROVIDER_ISSUE, RECOVERABLE_SERVICE_ISSUE).
    Provider should investigate (using MlApplicationInstanceView lifecycleDetails, relevant logs and metrics) and fix the issue before the recovery is initiated.
    
    Specified by:
    
    recoverMlApplicationInstanceView in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - registerModelArtifactReference
```
public RegisterModelArtifactReferenceResponse registerModelArtifactReference(RegisterModelArtifactReferenceRequest request)
```
    Description copied from interface: DataScience
    
    Registers model artifact reference metadata
    
    Specified by:
    
    registerModelArtifactReference in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - restoreArchivedModelArtifact
```
public RestoreArchivedModelArtifactResponse restoreArchivedModelArtifact(RestoreArchivedModelArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Restore archived model artifact
    
    Specified by:
    
    restoreArchivedModelArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - triggerMlApplicationInstanceFlow
```
public TriggerMlApplicationInstanceFlowResponse triggerMlApplicationInstanceFlow(TriggerMlApplicationInstanceFlowRequest request)
```
    Description copied from interface: DataScience
    
    Trigger ML Application Instance flow if possible
    
    Specified by:
    
    triggerMlApplicationInstanceFlow in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - triggerMlApplicationInstanceViewFlow
```
public TriggerMlApplicationInstanceViewFlowResponse triggerMlApplicationInstanceViewFlow(TriggerMlApplicationInstanceViewFlowRequest request)
```
    Description copied from interface: DataScience
    
    Trigger ML Application Instance View flow if possible
    
    Specified by:
    
    triggerMlApplicationInstanceViewFlow in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateDataSciencePrivateEndpoint
```
public UpdateDataSciencePrivateEndpointResponse updateDataSciencePrivateEndpoint(UpdateDataSciencePrivateEndpointRequest request)
```
    Description copied from interface: DataScience
    
    Updates a private endpoint using a privateEndpointId.
    If changes to a private endpoint match a previously defined private endpoint, then a 409 status code is returned. This indicates that a conflict has been detected.
    
    Specified by:
    
    updateDataSciencePrivateEndpoint in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateJob
```
public UpdateJobResponse updateJob(UpdateJobRequest request)
```
    Description copied from interface: DataScience
    
    Updates a job.
    
    Specified by:
    
    updateJob in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateJobRun
```
public UpdateJobRunResponse updateJobRun(UpdateJobRunRequest request)
```
    Description copied from interface: DataScience
    
    Updates a job run.
    
    Specified by:
    
    updateJobRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateMlApplication
```
public UpdateMlApplicationResponse updateMlApplication(UpdateMlApplicationRequest request)
```
    Description copied from interface: DataScience
    
    Updates the MlApplication
    
    Specified by:
    
    updateMlApplication in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateMlApplicationImplementation
```
public UpdateMlApplicationImplementationResponse updateMlApplicationImplementation(UpdateMlApplicationImplementationRequest request)
```
    Description copied from interface: DataScience
    
    Updates the MlApplicationImplementation
    
    Specified by:
    
    updateMlApplicationImplementation in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateMlApplicationImplementationVersion
```
public UpdateMlApplicationImplementationVersionResponse updateMlApplicationImplementationVersion(UpdateMlApplicationImplementationVersionRequest request)
```
    Description copied from interface: DataScience
    
    Updates the MlApplicationImplementationVersion
    
    Specified by:
    
    updateMlApplicationImplementationVersion in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateMlApplicationInstance
```
public UpdateMlApplicationInstanceResponse updateMlApplicationInstance(UpdateMlApplicationInstanceRequest request)
```
    Description copied from interface: DataScience
    
    Updates the MlApplicationInstance
    
    Specified by:
    
    updateMlApplicationInstance in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateMlApplicationInstanceView
```
public UpdateMlApplicationInstanceViewResponse updateMlApplicationInstanceView(UpdateMlApplicationInstanceViewRequest request)
```
    Description copied from interface: DataScience
    
    Updates the MlApplicationInstanceView
    
    Specified by:
    
    updateMlApplicationInstanceView in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateModel
```
public UpdateModelResponse updateModel(UpdateModelRequest request)
```
    Description copied from interface: DataScience
    
    Updates the properties of a model.
    You can update the displayName, description, freeformTags, and definedTags properties.
    
    Specified by:
    
    updateModel in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateModelCustomMetadatumArtifact
```
public UpdateModelCustomMetadatumArtifactResponse updateModelCustomMetadatumArtifact(UpdateModelCustomMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Updates model custom metadata artifact for specified model metadata key.
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    updateModelCustomMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateModelDefinedMetadatumArtifact
```
public UpdateModelDefinedMetadatumArtifactResponse updateModelDefinedMetadatumArtifact(UpdateModelDefinedMetadatumArtifactRequest request)
```
    Description copied from interface: DataScience
    
    Updates model defined metadata artifact for specified model metadata key.
    Note: This operation consumes a stream.
    If the stream supports InputStream.mark(int) and InputStream.reset(), when a retry is necessary, the stream is reset so it starts at the beginning (or whatever the stream's position was at the time this operation is called}.
    Note this means that if the caller has used InputStream.mark(int) before, then the mark will not be the same anymore after this operation, and a subsequent call to InputStream.reset() by the caller will reset the stream not to the caller's mark, but to the position the stream was in when this operation was called.
    If the stream is a FileInputStream, and the stream's FileChannel position can be changed (like for a regular file), the stream will be wrapped in such a way that it does provide support for InputStream.mark(int) and InputStream.reset(). Then the same procedure as above is followed. If the stream's FileChannel position cannot be changed (like for a named pipe), then the stream's contents will be buffered in memory, as described below.
    If the stream does not support InputStream.mark(int) and InputStream.reset(), then the stream is wrapped in a BufferedInputStream, which means the entire contents may be buffered in memory. Then the same procedure as above is followed.
    The contents of the stream, except when the stream is a FileInputStream whose FileChannel position can be changed, should be less than 2 GiB in size if retries are used. This is because streams 2 GiB in size or larger do no guarantee that mark-and-reset can be performed. If the stream is larger, do not use built-in retries and manage retries yourself.
    
    Specified by:
    
    updateModelDefinedMetadatumArtifact in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateModelDeployment
```
public UpdateModelDeploymentResponse updateModelDeployment(UpdateModelDeploymentRequest request)
```
    Description copied from interface: DataScience
    
    Updates the properties of a model deployment.
    Some of the properties of modelDeploymentConfigurationDetails or CategoryLogDetails can also be updated with zero down time when the model deployment’s lifecycle state is ACTIVE or NEEDS_ATTENTION i.e instanceShapeName, instanceCount and modelId, separately loadBalancerShape or CategoryLogDetails can also be updated independently. All of the fields can be updated when the deployment is in the INACTIVE lifecycle state. Changes will take effect the next time the model deployment is activated.
    
    Specified by:
    
    updateModelDeployment in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateModelProvenance
```
public UpdateModelProvenanceResponse updateModelProvenance(UpdateModelProvenanceRequest request)
```
    Description copied from interface: DataScience
    
    Updates the provenance information for the specified model.
    
    Specified by:
    
    updateModelProvenance in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateModelVersionSet
```
public UpdateModelVersionSetResponse updateModelVersionSet(UpdateModelVersionSetRequest request)
```
    Description copied from interface: DataScience
    
    Updates the properties of a model version set.
    User can update the description property.
    
    Specified by:
    
    updateModelVersionSet in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateNotebookSession
```
public UpdateNotebookSessionResponse updateNotebookSession(UpdateNotebookSessionRequest request)
```
    Description copied from interface: DataScience
    
    Updates the properties of a notebook session.
    You can update the displayName, freeformTags, and definedTags properties. When the notebook session is in the INACTIVE lifecycle state, you can update notebookSessionConfigurationDetails and change shape, subnetId, and blockStorageSizeInGBs. Changes to the notebookSessionConfigurationDetails take effect the next time the ActivateNotebookSession action is invoked on the notebook session resource.
    
    Specified by:
    
    updateNotebookSession in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updatePipeline
```
public UpdatePipelineResponse updatePipeline(UpdatePipelineRequest request)
```
    Description copied from interface: DataScience
    
    Updates the Pipeline.
    
    Specified by:
    
    updatePipeline in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updatePipelineRun
```
public UpdatePipelineRunResponse updatePipelineRun(UpdatePipelineRunRequest request)
```
    Description copied from interface: DataScience
    
    Updates the PipelineRun.
    
    Specified by:
    
    updatePipelineRun in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateProject
```
public UpdateProjectResponse updateProject(UpdateProjectRequest request)
```
    Description copied from interface: DataScience
    
    Updates the properties of a project.
    You can update the displayName, description, freeformTags, and definedTags properties.
    
    Specified by:
    
    updateProject in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - updateSchedule
```
public UpdateScheduleResponse updateSchedule(UpdateScheduleRequest request)
```
    Description copied from interface: DataScience
    
    Updates the Schedule
    
    Specified by:
    
    updateSchedule in interface DataScience
    
    Parameters:
    
    request - The request object containing the details to send
    
    Returns:
    
    A response object containing details about the completed operation
  - getWaiters
```
public DataScienceWaiters getWaiters()
```
    Description copied from interface: DataScience
    
    Gets the pre-configured waiters available for resources for this service.
    
    Specified by:
    
    getWaiters in interface DataScience
    
    Returns:
    
    The service waiters.
  - getPaginators
```
public DataSciencePaginators getPaginators()
```
    Description copied from interface: DataScience
    
    Gets the pre-configured paginators available for list operations in this service which may return multiple pages of data.
    These paginators provide an Iterable interface so that service responses, or resources/records, can be iterated through without having to manually deal with pagination and page tokens.
    
    Specified by:
    
    getPaginators in interface DataScience
    
    Returns:
    
    The service paginators.
  - getDefaultConfigurator
```
protected ClientConfigurator getDefaultConfigurator()
```
  - useRealmSpecificEndpointTemplate
```
public void useRealmSpecificEndpointTemplate(boolean useOfRealmSpecificEndpointTemplateEnabled)
```
    This method should be used to enable or disable the use of realm-specific endpoint template.
    The default value is null. To enable the use of endpoint template defined for the realm in use, set the flag to true To disable the use of endpoint template defined for the realm in use, set the flag to false
    
    Parameters:
    
    useOfRealmSpecificEndpointTemplateEnabled - This flag can be set to true or false to enable or disable the use of realm-specific endpoint template respectively
  - populateServiceParametersInEndpoint
```
public final void populateServiceParametersInEndpoint(String endpoint,
                                                      Map<String,Object> requiredParametersMap)
```
    Populate the parameters in the endpoint with its corresponding value and update the base endpoint.
    The value will be populated iff the parameter in endpoint is a required request path parameter or a required request query parameter. If not, the parameter in the endpoint will be ignored and left blank.
    
    Parameters:
    
    endpoint - The endpoint template in use
    
    requiredParametersMap - Map of parameter name as key and value set in request path or query parameter as value
  - updateBaseEndpoint
```
public final void updateBaseEndpoint(String endpoint)
```
    This method should be used for parameterized endpoint templates only.
    This does not include {region} and {secondLevelDomain} parameters.
    
    Parameters:
    
    endpoint - The updated endpoint to use
  - setEndpoint
```
public final void setEndpoint(String endpoint)
```
  - getEndpoint
```
public final String getEndpoint()
```
  - refreshClient
```
public final void refreshClient()
```
    Rebuild the backing HttpClient.
    This will call ClientConfigurators again, and can be used to e.g. refresh the SSL certificate.
  - close
```
public final void close()
```
    Specified by:
    
    close in interface AutoCloseable
  - getClientCommonLibraryVersion
```
public String getClientCommonLibraryVersion()
```
  - getMinimumClientCommonLibraryVersionFromClient
```
public Optional<String> getMinimumClientCommonLibraryVersionFromClient()
```

Class DataScienceClient

Nested Class Summary

Field Summary

Constructor Summary

Method Summary

Methods inherited from class com.oracle.bmc.http.internal.BaseSyncClient

Methods inherited from class java.lang.Object

Methods inherited from interface java.lang.AutoCloseable

Methods inherited from interface com.oracle.bmc.datascience.DataScience

Field Detail

SERVICE

clientCommonLibraryVersion

minimumClientCommonLibraryVersionFromClient

Constructor Detail

DataScienceClient

DataScienceClient

DataScienceClient

DataScienceClient

DataScienceClient

DataScienceClient

DataScienceClient

DataScienceClient

Method Detail

builder

setRegion

setRegion

activateModel

activateModelDeployment

activateNotebookSession

activateSchedule

cancelJobRun

cancelPipelineRun

cancelWorkRequest

changeDataSciencePrivateEndpointCompartment

changeJobCompartment

changeJobRunCompartment

changeMlApplicationCompartment

changeMlApplicationImplementationCompartment

changeMlApplicationInstanceCompartment

changeMlApplicationInstanceViewCompartment

changeModelCompartment

changeModelDeploymentCompartment

changeModelVersionSetCompartment

changeNotebookSessionCompartment

changePipelineCompartment

changePipelineRunCompartment

changeProjectCompartment

changeScheduleCompartment

createDataSciencePrivateEndpoint

createJob

createJobArtifact

createJobRun

createMlApplication

createMlApplicationImplementation

createMlApplicationInstance

createModel

createModelArtifact

createModelCustomMetadatumArtifact

createModelDefinedMetadatumArtifact

createModelDeployment

createModelProvenance

createModelVersionSet

createNotebookSession

createPipeline

createPipelineRun

createProject

createSchedule

createStepArtifact

deactivateModel

deactivateModelDeployment

deactivateNotebookSession

deactivateSchedule

deleteDataSciencePrivateEndpoint

deleteJob

deleteJobRun

deleteMlApplication

deleteMlApplicationImplementation

deleteMlApplicationInstance

deleteModel

deleteModelCustomMetadatumArtifact