Data Science

oci.data_science.DataScienceClient	Use the Data Science API to organize your data science work, access data and computing resources, and build, train, deploy and manage models and model deployments.
oci.data_science.DataScienceClientCompositeOperations	This class provides a wrapper around DataScienceClient and offers convenience methods for operations that would otherwise need to be chained together.

Models

oci.data_science.models.ApplicationComponent	Reference to an application component
oci.data_science.models.ArtifactExportDetails	Details of Artifact source
oci.data_science.models.ArtifactExportDetailsObjectStorage	Model artifact source details for exporting artifact to service bucket
oci.data_science.models.ArtifactImportDetails	Details of Artifact source
oci.data_science.models.ArtifactImportDetailsObjectStorage	Artifact destination details for importing to destination bucket
oci.data_science.models.AuthConfiguration	AuthN/Z configuration for online prediction
oci.data_science.models.AutoScalingPolicy	The scaling policy to enable autoscaling on the model deployment.
oci.data_science.models.AutoScalingPolicyDetails	Details for an autoscaling policy to enable on the model deployment.
oci.data_science.models.BackupOperationDetails	Backup operation details of the model.
oci.data_science.models.BackupSetting	Back up setting details of the model.
oci.data_science.models.CategoryLogDetails	The log details for each category.
oci.data_science.models.ChangeDataSciencePrivateEndpointCompartmentDetails	The details required to change a private endpoint compartment.
oci.data_science.models.ChangeJobCompartmentDetails	Details for changing the compartment of a job.
oci.data_science.models.ChangeJobRunCompartmentDetails	Details for changing the compartment of a job run.
oci.data_science.models.ChangeMlApplicationCompartmentDetails	The information to be updated.
oci.data_science.models.ChangeMlApplicationImplementationCompartmentDetails	The information to be updated.
oci.data_science.models.ChangeMlApplicationInstanceCompartmentDetails	The information to be updated.
oci.data_science.models.ChangeMlApplicationInstanceViewCompartmentDetails	The information to be updated.
oci.data_science.models.ChangeModelCompartmentDetails	Details for changing the compartment of a model.
oci.data_science.models.ChangeModelDeploymentCompartmentDetails	Details for changing the compartment of a model deployment.
oci.data_science.models.ChangeModelGroupCompartmentDetails	Details for changing the compartment of a model group.
oci.data_science.models.ChangeModelGroupVersionHistoryCompartmentDetails	Details for changing the compartment of a model group version history.
oci.data_science.models.ChangeModelVersionSetCompartmentDetails	Details for changing the compartment of a model version set.
oci.data_science.models.ChangeNotebookSessionCompartmentDetails	Details for changing the compartment of a notebook session.
oci.data_science.models.ChangePipelineCompartmentDetails	Details for which compartment to move the resource to.
oci.data_science.models.ChangePipelineRunCompartmentDetails	Details for which compartment to move the resource to.
oci.data_science.models.ChangeProjectCompartmentDetails	Details for changing the compartment of a project.
oci.data_science.models.ChangeScheduleCompartmentDetails	The information to be updated.
oci.data_science.models.CloneCreateFromModelGroupDetails	Parameters needed to cloning a model group from an existing model group.
oci.data_science.models.CloneCreateFromModelGroupVersionHistoryDetails	Parameters needed to cloning a model group from latest model group in model group version history.
oci.data_science.models.CloneModelGroupDetails	Parameters needed to clone a model group.
oci.data_science.models.ConfigurationProperty	Property that is used for provisioning of the given MlApplicationInstance.
oci.data_science.models.ConfigurationPropertySchema	Schema for single configuration property
oci.data_science.models.ContainerSummary	Summary representation of a container
oci.data_science.models.CreateAuthConfigurationDetails	AuthN/Z configuration for online prediction
oci.data_science.models.CreateBaseModelGroupDetails	The base create model group details.
oci.data_science.models.CreateDataSciencePrivateEndpointDetails	The details required to create a Data Science private endpoint.
oci.data_science.models.CreateIamAuthConfigurationCreateDetails	Configuration of IAM AuthN/Z for online prediction
oci.data_science.models.CreateIdcsAuthConfigurationDetails	Configuration of IDCS AuthN/Z for online prediction
oci.data_science.models.CreateIdcsCustomServiceAuthConfigurationDetails	Create configuration for existing Oracle Cloud Service
oci.data_science.models.CreateJobDetails	Parameters needed to create a new job.
oci.data_science.models.CreateJobRunDetails	Parameters needed to create a new job run.
oci.data_science.models.CreateJobRunScheduleActionDetails	create job run details
oci.data_science.models.CreateMlApplicationDetails	The information about new MlApplication.
oci.data_science.models.CreateMlApplicationImplementationDetails	The information about new MlApplicationImplementation.
oci.data_science.models.CreateMlApplicationInstanceDetails	The information about new MlApplicationInstance.
oci.data_science.models.CreateModelDeploymentDetails	Parameters needed to create a new model deployment.
oci.data_science.models.CreateModelDetails	Parameters needed to create a new model.
oci.data_science.models.CreateModelGroupDetails	Parameters needed to create a model group.
oci.data_science.models.CreateModelGroupVersionHistoryDetails	Parameters that are required to create a new model group version history.
oci.data_science.models.CreateModelProvenanceDetails	Model provenance gives data scientists information about the origin of their model.
oci.data_science.models.CreateModelVersionSetDetails	Parameters that are required to create a new model version set.
oci.data_science.models.CreateNotebookSessionDetails	Parameters needed to create a new notebook session.
oci.data_science.models.CreatePipelineDetails	The information about new Pipeline.
oci.data_science.models.CreatePipelineRunDetails	The information about new PipelineRun.
oci.data_science.models.CreatePipelineRunScheduleActionDetails	create pipeline run details
oci.data_science.models.CreateProjectDetails	Parameters needed to create a new project.
oci.data_science.models.CreateScheduleDetails	Creation details for a new schedule.
oci.data_science.models.CustomExpressionQueryScalingConfiguration	The scaling configuration for the custom metric expression rule.
oci.data_science.models.CustomMetadata	Array of custom metadata details of model group.
oci.data_science.models.CustomMetricExpressionRule	A custom Monitoring Query Language (MQL) expression for triggering an autoscaling action on the model deployment.
oci.data_science.models.DataFlowApplicationApplicationComponent	Data Flow Application application component
oci.data_science.models.DataScienceJobApplicationComponent	Data Science Job application component
oci.data_science.models.DataScienceModelApplicationComponent	Data Science Model application component
oci.data_science.models.DataScienceModelDeploymentInstanceComponent	Reference to Data Science Model Deployment
oci.data_science.models.DataSciencePipelineApplicationComponent	Data Science Pipeline application component
oci.data_science.models.DataSciencePrivateEndpoint	Data Science private endpoint.
oci.data_science.models.DataSciencePrivateEndpointSummary	List of Data Science private endpoints.
oci.data_science.models.DataScienceScheduleInstanceComponent	Data Science Schedule instance component
oci.data_science.models.DefaultJobConfigurationDetails	The default job configuration.
oci.data_science.models.DefaultModelDeploymentEnvironmentConfigurationDetails	The environment configuration details object for managed container
oci.data_science.models.DisableMlApplicationInstanceViewTriggerDetails	Payload for disable trigger action
oci.data_science.models.EmptyJobConfigurationDetails	The empty job configuration.
oci.data_science.models.EmptyJobInfrastructureConfigurationDetails	The Empty job infrastructure configuration.
oci.data_science.models.EnableMlApplicationInstanceViewTriggerDetails	Payload for enable trigger action
oci.data_science.models.ExportModelArtifactDetails	Details required for exporting the model artifact from source to service bucket
oci.data_science.models.FastLaunchJobConfigSummary	The shape config to launch a fast launch capable job instance
oci.data_science.models.FileStorageMountConfigurationDetails	The File Storage Mount Configuration Details.
oci.data_science.models.FixedSizeScalingPolicy	The fixed size scaling policy.
oci.data_science.models.GenericJobRunUseCaseConfigurationDetails	The evaluation use-case configuration.
oci.data_science.models.GenericOciResourceApplicationComponent	Generic OCI resource application component
oci.data_science.models.GenericOciResourceInstanceComponent	Generic OCI resource instance component
oci.data_science.models.HeterogeneousModelGroupDetails	Heterogeneous model group type.
oci.data_science.models.HomogeneousModelGroupDetails	Homogeneous model group type.
oci.data_science.models.IamAuthConfiguration	Configuration of IAM AuthN/Z for online prediction
oci.data_science.models.IdcsAuthConfiguration	Configuration of IDCS AuthN/Z for online prediction
oci.data_science.models.IdcsCustomServiceAuthConfiguration	Using existing Oracle Cloud Service for online prediction AuthN/Z
oci.data_science.models.ImplementationLogDetails	Log configuration details for particular areas of ML Application Implementation.
oci.data_science.models.ImplementationLogging	Configuration of Logging for ML Application Implementation.
oci.data_science.models.ImportModelArtifactDetails	Details required for importing the artifact from service bucket
oci.data_science.models.InfrastructureConfigurationDetails	The infrastructure configuration details.
oci.data_science.models.InstanceComponent	Reference to instance component
oci.data_science.models.InstanceConfiguration	The model deployment instance configuration.
oci.data_science.models.InstancePoolInfrastructureConfigurationDetails	Instance Pool based Infrastructure configuration details.
oci.data_science.models.InstancePoolModelDeploymentSystemData	Instance pool based model deployment system data.
oci.data_science.models.InvokeMlApplicationProviderTriggerScheduleActionDetails	invoke ml application trigger details
oci.data_science.models.Job	A job for training models.
oci.data_science.models.JobConfigurationDetails	The job configuration details
oci.data_science.models.JobCustomNetworkConfiguration	The job custom network configuration details
oci.data_science.models.JobDefaultNetworkConfiguration	The job default network configuration details
oci.data_science.models.JobEnvironmentConfigurationDetails	Environment configuration to capture job runtime dependencies.
oci.data_science.models.JobExecProbeDetails	Runs a command in the job run to check whether application is healthy or not.
oci.data_science.models.JobInfrastructureConfigurationDetails	The job infrastructure configuration details (shape, block storage, etc.)
oci.data_science.models.JobLogConfigurationDetails	Logging configuration for resource.
oci.data_science.models.JobNetworkConfiguration	The job network configuration details
oci.data_science.models.JobNodeConfigurationDetails	The job node configuration details
oci.data_science.models.JobNodeGroupConfigurationDetails	Details of Job Node Group Configuration
oci.data_science.models.JobProbeDetails	The probe indicates whether the application within the job run has started.
oci.data_science.models.JobRun	A job run.
oci.data_science.models.JobRunLogDetails	Customer logging details for job run.
oci.data_science.models.JobRunSummary	Summary information for a job run.
oci.data_science.models.JobRunUseCaseConfigurationDetails	The use-case configuration details
oci.data_science.models.JobRunWorkloadConfigurationDetails	The job run workload configuration.
oci.data_science.models.JobShapeConfigDetails	Details for the job run shape configuration.
oci.data_science.models.JobShapeSummary	The compute shape used to launch a job compute instance.
oci.data_science.models.JobSummary	Summary information for a job.
oci.data_science.models.LogDetails	The log details.
oci.data_science.models.ManagedEgressStandaloneJobInfrastructureConfigurationDetails	This type should only be used at the top level infrastructure configuration field for configuring single-node jobs.
oci.data_science.models.MemberModelDetails	Model details which needs to be part of Model Group.
oci.data_science.models.MemberModelEntries	List of member models (inferenceKey & modelId) to be associated with the model group.
oci.data_science.models.Metadata	Defines properties of each model metadata.
oci.data_science.models.MetricExpressionRule	The metric expression rule base.
oci.data_science.models.MlApplication	Resource representing a definition of an AI/ML use-case
oci.data_science.models.MlApplicationCollection	Results of a mlApplication search.
oci.data_science.models.MlApplicationImplementation	Resource representing solution for AI/ML use-case defined by ML Application
oci.data_science.models.MlApplicationImplementationCollection	Results of a MlApplicationImplementation search.
oci.data_science.models.MlApplicationImplementationSummary	Summary of the MlApplicationImplementation.
oci.data_science.models.MlApplicationImplementationVersion	Read-only fully managed snapshot of MlApplicationImplementation taken when MlApplicationImplementation was updated with new ML Application package.
oci.data_science.models.MlApplicationImplementationVersionCollection	Results of a MlApplicationImplementationVersion search.
oci.data_science.models.MlApplicationImplementationVersionSummary	Summary of the MlApplicationImplementationVersion.
oci.data_science.models.MlApplicationInstance	Resource representing instance of ML Application.
oci.data_science.models.MlApplicationInstanceCollection	Results of a mlApplicationInstance search.
oci.data_science.models.MlApplicationInstanceInternalTrigger	Trigger details
oci.data_science.models.MlApplicationInstanceSummary	Summary of the MlApplicationInstance.
oci.data_science.models.MlApplicationInstanceView	Representation of ML Application Instance which providers use for instance observability.
oci.data_science.models.MlApplicationInstanceViewCollection	Results of a MlApplicationInstanceView search.
oci.data_science.models.MlApplicationInstanceViewSummary	Summary of the MlApplicationInstanceView.
oci.data_science.models.MlApplicationPackageArgumentDetails	Represents single argument name value pair.
oci.data_science.models.MlApplicationPackageArguments	List of ML Application package arguments provided during ML Application package upload.
oci.data_science.models.MlApplicationSummary	Summary of the MlApplication.
oci.data_science.models.Model	Models are mathematical representations of the relationships between data.
oci.data_science.models.ModelArtifactReferenceDetails	Reference to the location where the model artifact is stored.
oci.data_science.models.ModelConfigurationDetails	The model configuration details.
oci.data_science.models.ModelDeployWorkloadConfigurationDetails	The model deployment workload configuration.
oci.data_science.models.ModelDeployment	Model deployments are used by data scientists to perform predictions from the model hosted on an HTTP server.
oci.data_science.models.ModelDeploymentConfigurationDetails	The model deployment configuration details.
oci.data_science.models.ModelDeploymentEnvironmentConfigurationDetails	The configuration to carry the environment details thats used in Model Deployment creation
oci.data_science.models.ModelDeploymentInstanceShapeConfigDetails	Details for the model-deployment instance shape configuration.
oci.data_science.models.ModelDeploymentModelStateSummary	Status of the model in a model group deployment.
oci.data_science.models.ModelDeploymentShapeSummary	The compute shape used to launch a model deployment compute instance.
oci.data_science.models.ModelDeploymentSummary	Summary information for a model deployment.
oci.data_science.models.ModelDeploymentSystemData	Model deployment system data.
oci.data_science.models.ModelGroup	Model group is a collection of the models.
oci.data_science.models.ModelGroupCloneSourceDetails	Model Group clone source details.
oci.data_science.models.ModelGroupConfigurationDetails	The model group configuration details.
oci.data_science.models.ModelGroupDeploymentConfigurationDetails	The model group type deployment.
oci.data_science.models.ModelGroupDetails	The model group details.
oci.data_science.models.ModelGroupModelSummary	Summary information for a model associated with the model group.
oci.data_science.models.ModelGroupSummary	Summary information for a modelGroup.
oci.data_science.models.ModelGroupVersionHistory	Model Group Version history to associate different versions of Model Group resource.
oci.data_science.models.ModelGroupVersionHistorySummary	Summary information for a modelGroupVersionHistory.
oci.data_science.models.ModelProvenance	Model provenance gives data scientists information about the origin of their model.
oci.data_science.models.ModelSummary	Summary information for a model.
oci.data_science.models.ModelVersionSet	A model version set to associate different versions of machine learning models.
oci.data_science.models.ModelVersionSetSummary	Summary information for a model version set.
oci.data_science.models.ModifyModelGroupDetails	Overwrites the properties of the source modelGroup.
oci.data_science.models.MultiNodeJobInfrastructureConfigurationDetails	This type should only be used for the infrastructure configuration within node group configuration details for configuring multi-node jobs.
oci.data_science.models.MultiNodeJobNodeConfigurationDetails
oci.data_science.models.NodeGroupDetails	Details of Node Group
oci.data_science.models.NotebookSession	Notebook sessions are interactive coding environments for data scientists.
oci.data_science.models.NotebookSessionConfigDetails	Details for the notebook session configuration.
oci.data_science.models.NotebookSessionConfigurationDetails	Details for the notebook session configuration.
oci.data_science.models.NotebookSessionGitConfigDetails	Git configuration Details.
oci.data_science.models.NotebookSessionGitRepoConfigDetails	Git repository configurations.
oci.data_science.models.NotebookSessionRuntimeConfigDetails	Notebook Session runtime configuration details.
oci.data_science.models.NotebookSessionShapeConfigDetails	Details for the notebook session shape configuration.
oci.data_science.models.NotebookSessionShapeSummary	The compute shape used to launch a notebook session compute instance.
oci.data_science.models.NotebookSessionSummary	Summary information for a notebook session.
oci.data_science.models.OSSModelArtifactReferenceDetails	Reference to the OSS where model artifact is stored
oci.data_science.models.ObjectStorageBucketInstanceComponent	Reference to Object Storage Bucket
oci.data_science.models.ObjectStorageMountConfigurationDetails	The Object Storage Configuration Details.
oci.data_science.models.ObjectStorageObjectInstanceComponent	Reference to Object Storage Object
oci.data_science.models.OcirContainerJobEnvironmentConfigurationDetails	Environment configuration based on container image stored in OCI Container Registry.
oci.data_science.models.OcirModelDeploymentEnvironmentConfigurationDetails	The environment configuration details object for OCI Registry
oci.data_science.models.PatchInsertNewMemberModels	This will specify the list of new models that are to be associated with the cloned model group.
oci.data_science.models.PatchInstruction	A single instruction to be included as part of Patch request content.
oci.data_science.models.PatchModelGroupMemberModelDetails	Specifies the list of new models to be added and list of models from source model group to be removed for cloning.
oci.data_science.models.PatchRemoveMemberModels	This will specify the list of source model group models that are not to be associated with the cloned model group.
oci.data_science.models.Pipeline	A Pipeline to orchestrate and execute machine learning workflows.
oci.data_science.models.PipelineConfigurationDetails	The configuration details of a pipeline.
oci.data_science.models.PipelineContainerConfigurationDetails	Container Details for a step in pipeline.
oci.data_science.models.PipelineContainerStepDetails	The type of step where user provides the container details for an execution engine managed by the pipelines service.
oci.data_science.models.PipelineContainerStepRun	Detail of each ContainerStepRun.
oci.data_science.models.PipelineContainerStepUpdateDetails	Update the details for a container step type.
oci.data_science.models.PipelineCustomScriptStepDetails	The type of step where user provides the step artifact to be executed on an execution engine managed by the pipelines service.
oci.data_science.models.PipelineCustomScriptStepRun	Detail of each CustomScriptStepRun.
oci.data_science.models.PipelineCustomScriptStepUpdateDetails	The type of step where user provides the step artifact to be executed on an execution engine managed by the pipelines service.
oci.data_science.models.PipelineDataflowConfigurationDetails	The configuration details of a Dataflow step.
oci.data_science.models.PipelineDataflowStepDetails	The type of step where the dataflow application is pre-created by the user.
oci.data_science.models.PipelineDataflowStepRun	Detail of each Dataflow Step Run.
oci.data_science.models.PipelineDataflowStepUpdateDetails	The type of step where the dataflow application is pre-created by the user.
oci.data_science.models.PipelineDefaultConfigurationDetails	The default pipeline configuration.
oci.data_science.models.PipelineDefaultStepParameterDetails	Pipeline Default step parameter details
oci.data_science.models.PipelineInfrastructureConfigurationDetails	The infrastructure configuration details of a pipeline or a step.
oci.data_science.models.PipelineJsonStepOutputParameterDetails	Pipeline JSON output parameter details
oci.data_science.models.PipelineLogConfigurationDetails	The pipeline log configuration details.
oci.data_science.models.PipelineMLJobStepDetails	The type of step where the job is pre-created by the user.
oci.data_science.models.PipelineMLJobStepRun	Detail of each MLJobStepRun.
oci.data_science.models.PipelineMLJobStepUpdateDetails	The type of step where the job is pre-created by the user.
oci.data_science.models.PipelineOcirContainerConfigurationDetails	Container configuration based on image stored in OCI Container Registry.
oci.data_science.models.PipelineRun	Description of PipelineRun.
oci.data_science.models.PipelineRunLogDetails	Customer logging details for pipeline run.
oci.data_science.models.PipelineRunSummary	Summary of the PipelineRun.
oci.data_science.models.PipelineShapeConfigDetails	Details for the pipeline step run shape configuration.
oci.data_science.models.PipelineStepConfigurationDetails	The configuration details of a step.
oci.data_science.models.PipelineStepDetails	A step in the pipeline.
oci.data_science.models.PipelineStepOutputParameterDetails	Pipeline output parameter details
oci.data_science.models.PipelineStepOverrideDetails	Override details of the step.
oci.data_science.models.PipelineStepParameterDetails	Pipeline step parameter details
oci.data_science.models.PipelineStepRun	Detail of each StepRun.
oci.data_science.models.PipelineStepUpdateDetails	The details of the step to update.
oci.data_science.models.PipelineSummary	Summary of the Pipeline.
oci.data_science.models.PredefinedExpressionThresholdScalingConfiguration	The scaling configuration for the predefined metric expression rule.
oci.data_science.models.PredefinedMetricExpressionRule	An expression built using CPU or Memory metrics for triggering an autoscaling action on the model deployment.
oci.data_science.models.PredictionEndpointDetails	Prediction endpoint related information.
oci.data_science.models.PredictionUri	Prediction URI per use-case.
oci.data_science.models.Project	Projects enable users to organize their data science work.
oci.data_science.models.ProjectSummary	Summary information for a project.
oci.data_science.models.RegisterModelArtifactReferenceDetails	Parameters that are required to register a model artifact reference collection.
oci.data_science.models.RetentionOperationDetails	Retention operation details for the model.
oci.data_science.models.RetentionSetting	Retention setting details of the model.
oci.data_science.models.ScalingConfiguration	Scaling configuration for the metric expression rule.
oci.data_science.models.ScalingPolicy	The scaling policy to apply to each model of the deployment.
oci.data_science.models.Schedule	A repeating action.
oci.data_science.models.ScheduleAction	The schedule action
oci.data_science.models.ScheduleCronTrigger	The scheduled UNIX cron definition.
oci.data_science.models.ScheduleHttpAction	this is HTTP action
oci.data_science.models.ScheduleHttpActionDetails	Schedule Http action details
oci.data_science.models.ScheduleICalTrigger	The iCal schedule trigger.
oci.data_science.models.ScheduleIntervalTrigger	The interval schedule trigger.
oci.data_science.models.ScheduleLogDetails	Custom logging details for schedule execution.
oci.data_science.models.ScheduleSummary	Summary representation of a schedule.
oci.data_science.models.ScheduleTrigger	The trigger of the schedule can be UNIX cron or iCal expression or simple interval
oci.data_science.models.SingleModelDeploymentConfigurationDetails	The single model type deployment.
oci.data_science.models.StackedModelGroupDetails	Stacked model group type.
oci.data_science.models.StandaloneJobInfrastructureConfigurationDetails	This type should only be used at the top level infrastructure configuration field for configuring single-node jobs.
oci.data_science.models.StorageMountConfigurationDetails	The storage mount configuration details
oci.data_science.models.TagConfiguration	Defines properties of each container tag metadata.
oci.data_science.models.ThresholdBasedAutoScalingPolicyDetails	Details for a threshold-based autoscaling policy to enable on the model deployment.
oci.data_science.models.TriggerMlApplicationInstanceFlowDetails	Payload for trigger request endpoint
oci.data_science.models.TriggerMlApplicationInstanceViewFlowDetails	Payload for trigger request endpoint
oci.data_science.models.TriggerParameter	Trigger parameter
oci.data_science.models.UpdateCategoryLogDetails	The log details for each category for update.
oci.data_science.models.UpdateDataSciencePrivateEndpointDetails	The details required to update a private endpoint.
oci.data_science.models.UpdateDefaultModelDeploymentEnvironmentConfigurationDetails	The update environment configuration details object for managed container
oci.data_science.models.UpdateInfrastructureConfigurationDetails	The infrastructure configuration details for update.
oci.data_science.models.UpdateInstancePoolInfrastructureConfigurationDetails	Instance Pool based Infrastructure configuration details for update.
oci.data_science.models.UpdateJobDetails	Details for updating a job.
oci.data_science.models.UpdateJobRunDetails	Details for updating a job run.
oci.data_science.models.UpdateMlApplicationDetails	The information to be updated.
oci.data_science.models.UpdateMlApplicationImplementationDetails	The information to be updated.
oci.data_science.models.UpdateMlApplicationImplementationVersionDetails	The information to be updated.
oci.data_science.models.UpdateMlApplicationInstanceDetails	The information to be updated.
oci.data_science.models.UpdateMlApplicationInstanceViewDetails	The information to be updated.
oci.data_science.models.UpdateModelConfigurationDetails	The model configuration details for update.
oci.data_science.models.UpdateModelDeploymentConfigurationDetails	The model deployment configuration details for update.
oci.data_science.models.UpdateModelDeploymentDetails	Details for updating a model deployment.
oci.data_science.models.UpdateModelDeploymentEnvironmentConfigurationDetails	The configuration to carry the environment details thats used in Model Deployment update
oci.data_science.models.UpdateModelDetails	Details for updating a model.
oci.data_science.models.UpdateModelGroupConfigurationDetails	The model group configuration details for update.
oci.data_science.models.UpdateModelGroupDeploymentConfigurationDetails	The model group type deployment for update.
oci.data_science.models.UpdateModelGroupDetails	Details for updating a modelGroup.
oci.data_science.models.UpdateModelGroupVersionHistoryDetails	Details for updating a model group version history.
oci.data_science.models.UpdateModelProvenanceDetails	Model provenance gives data scientists information about the origin of their model.
oci.data_science.models.UpdateModelVersionSetDetails	Details for updating a model version set.
oci.data_science.models.UpdateNotebookSessionDetails	Details for updating a notebook session.
oci.data_science.models.UpdateOcirModelDeploymentEnvironmentConfigurationDetails	The update environment configuration details object for OCI Registry
oci.data_science.models.UpdatePipelineDetails	The information of pipeline to be updated.
oci.data_science.models.UpdatePipelineRunDetails	The information to be updated.
oci.data_science.models.UpdateProjectDetails	Details for updating a project.
oci.data_science.models.UpdateScheduleDetails	Update details for a schedule.
oci.data_science.models.UpdateSingleModelDeploymentConfigurationDetails	The single model type deployment for update.
oci.data_science.models.WorkRequest	An asynchronous work request.
oci.data_science.models.WorkRequestError	Errors related to a specific work request.
oci.data_science.models.WorkRequestLogEntry	Log entries related to a specific work request.
oci.data_science.models.WorkRequestResource	The properties that define a work request resource.
oci.data_science.models.WorkRequestSummary	Summary information for a work request.
oci.data_science.models.WorkloadConfigurationDetails	The workload configuration details