Namespace Oci.DatascienceService.Models

Classes

ArtifactExportDetailsModelConverter

ArtifactExportDetailsObjectStorage

Model artifact source details for exporting artifact to service bucket

ArtifactImportDetailsModelConverter

ArtifactImportDetailsObjectStorage

Artifact destination details for importing to destination bucket

AutoScalingPolicy

The scaling policy to enable autoscaling on the model deployment.

Details for an autoscaling policy to enable on the model deployment. Each autoscaling configuration can have one autoscaling policy. In a threshold-based autoscaling policy, an autoscaling action is triggered when a performance metric meets or exceeds a threshold.

AutoScalingPolicyDetailsModelConverter

BackupOperationDetails

Backup operation details of the model.

BackupSetting

Back up setting details of the model.

CategoryLogDetails

The log details for each category.

ChangeDataSciencePrivateEndpointCompartmentDetails

The details required to change a private endpoint compartment.

ChangeJobCompartmentDetails

Details for changing the compartment of a job.

ChangeJobRunCompartmentDetails

Details for changing the compartment of a job run.

ChangeModelCompartmentDetails

Details for changing the compartment of a model.

ChangeModelDeploymentCompartmentDetails

Details for changing the compartment of a model deployment.

ChangeModelVersionSetCompartmentDetails

Details for changing the compartment of a model version set.

ChangeNotebookSessionCompartmentDetails

Details for changing the compartment of a notebook session.

ChangePipelineCompartmentDetails

Details for which compartment to move the resource to.

ChangePipelineRunCompartmentDetails

Details for which compartment to move the resource to.

ChangeProjectCompartmentDetails

Details for changing the compartment of a project.

CreateDataSciencePrivateEndpointDetails

The details required to create a Data Science private endpoint.

CreateJobDetails

Parameters needed to create a new job.

CreateJobRunDetails

Parameters needed to create a new job run.

CreateModelDeploymentDetails

Parameters needed to create a new model deployment. Model deployments are used by data scientists to perform predictions from the model hosted on an HTTP server.

CreateModelDetails

Parameters needed to create a new model. Models are mathematical representations of the relationships between data. Models are represented by their associated metadata and artifact.

CreateModelProvenanceDetails

Model provenance gives data scientists information about the origin of their model. This information allows data scientists to reproduce the development environment in which the model was trained.

CreateModelVersionSetDetails

Parameters that are required to create a new model version set.

CreateNotebookSessionDetails

Parameters needed to create a new notebook session. Notebook sessions are interactive coding environments for data scientists.

CreatePipelineDetails

The information about new Pipeline.

CreatePipelineRunDetails

The information about new PipelineRun.

CreateProjectDetails

Parameters needed to create a new project. Projects enable users to organize their data science work.

CustomExpressionQueryScalingConfiguration

The scaling configuration for the custom metric expression rule.

CustomMetricExpressionRule

A custom Monitoring Query Language (MQL) expression for triggering an autoscaling action on the model deployment.

DataSciencePrivateEndpoint

Data Science private endpoint.

DataSciencePrivateEndpointSummary

List of Data Science private endpoints.

DefaultJobConfigurationDetails

The default job configuration.

DefaultModelDeploymentEnvironmentConfigurationDetails

The environment configuration details object for managed container

ExportModelArtifactDetails

Details required for exporting the model artifact from source to service bucket

FastLaunchJobConfigSummary

The shape config to launch a fast launch capable job instance

FileStorageMountConfigurationDetails

The File Storage Mount Configuration Details.

FixedSizeScalingPolicy

The fixed size scaling policy.

ImportModelArtifactDetails

Details required for importing the artifact from service bucket

InstanceConfiguration

The model deployment instance configuration

InstancePoolModelDeploymentSystemData

Instance pool based model deployment system data.

Job

A job for training models.

JobConfigurationDetails

The job configuration details

JobConfigurationDetailsModelConverter

JobEnvironmentConfigurationDetails

Environment configuration to capture job runtime dependencies.

JobEnvironmentConfigurationDetailsModelConverter

JobInfrastructureConfigurationDetails

The job infrastructure configuration details (shape, block storage, etc.)

JobInfrastructureConfigurationDetailsModelConverter

JobLogConfigurationDetails

Logging configuration for resource.

JobRun

A job run.

JobRunLogDetails

Customer logging details for job run.

JobRunSummary

Summary information for a Job.

JobShapeConfigDetails

Details for the job run shape configuration. Specify only when a flex shape is selected.

JobShapeSummary

The compute shape used to launch a job compute instance.

JobSummary

Summary information for a Job.

LogDetails

The log details.

ManagedEgressStandaloneJobInfrastructureConfigurationDetails

The standalone job infrastructure configuration with network egress settings preconfigured.

Metadata

Defines properties of each model metadata.

MetricExpressionRule

The metric expression rule base.

MetricExpressionRuleModelConverter

Model

Models are mathematical representations of the relationships between data. Models are represented by their associated metadata and artifacts.

ModelConfigurationDetails

The model configuration details.

ModelDeployment

Model deployments are used by data scientists to perform predictions from the model hosted on an HTTP server.

ModelDeploymentConfigurationDetails

The model deployment configuration details.

ModelDeploymentConfigurationDetailsModelConverter

ModelDeploymentEnvironmentConfigurationDetails

The configuration to carry the environment details thats used in Model Deployment creation

ModelDeploymentEnvironmentConfigurationDetailsModelConverter

ModelDeploymentInstanceShapeConfigDetails

Details for the model-deployment instance shape configuration.

ModelDeploymentShapeSummary

The compute shape used to launch a model deployment compute instance.

ModelDeploymentSummary

Summary information for a model deployment.

ModelDeploymentSystemData

Model deployment system data.

ModelDeploymentSystemDataModelConverter

ModelProvenance

Model provenance gives data scientists information about the origin of their model. This information allows data scientists to reproduce the development environment in which the model was trained.

ModelSummary

Summary information for a model.

ModelVersionSet

A model version set to associate different versions of machine learning models.

ModelVersionSetSummary

Summary information for a model version set.

NotebookSession

Notebook sessions are interactive coding environments for data scientists.

NotebookSessionConfigDetails

Details for the notebook session configuration.

NotebookSessionConfigurationDetails

Details for the notebook session configuration.

NotebookSessionGitConfigDetails

Git configuration Details.

NotebookSessionGitRepoConfigDetails

Git repository configurations.

NotebookSessionRuntimeConfigDetails

Notebook Session runtime configuration details.

NotebookSessionShapeConfigDetails

Details for the notebook session shape configuration.

NotebookSessionShapeSummary

The compute shape used to launch a notebook session compute instance.

NotebookSessionSummary

Summary information for a notebook session.

ObjectStorageMountConfigurationDetails

The Object Storage Configuration Details.

OcirContainerJobEnvironmentConfigurationDetails

Environment configuration based on container image stored in OCI Container Registry.

OcirModelDeploymentEnvironmentConfigurationDetails

The environment configuration details object for OCI Registry

Pipeline

A Pipeline to orchestrate and execute machine learning workflows.

PipelineConfigurationDetails

The configuration details of a pipeline.

PipelineConfigurationDetailsModelConverter

PipelineContainerConfigurationDetails

Container Details for a step in pipeline.

PipelineContainerConfigurationDetailsModelConverter

PipelineContainerStepDetails

The type of step where user provides the container details for an execution engine managed by the pipelines service.

PipelineContainerStepRun

Detail of each ContainerStepRun.

PipelineContainerStepUpdateDetails

Update the details for a container step type.

PipelineCustomScriptStepDetails

The type of step where user provides the step artifact to be executed on an execution engine managed by the pipelines service.

PipelineCustomScriptStepRun

Detail of each CustomScriptStepRun.

PipelineCustomScriptStepUpdateDetails

The type of step where user provides the step artifact to be executed on an execution engine managed by the pipelines service.

PipelineDefaultConfigurationDetails

The default pipeline configuration.

PipelineInfrastructureConfigurationDetails

The infrastructure configuration details of a pipeline or a step.

PipelineLogConfigurationDetails

The pipeline log configuration details.

PipelineMLJobStepDetails

The type of step where the job is pre-created by the user.

PipelineMLJobStepRun

Detail of each MLJobStepRun.

PipelineMLJobStepUpdateDetails

The type of step where the job is pre-created by the user.

PipelineOcirContainerConfigurationDetails

Container configuration based on image stored in OCI Container Registry.

PipelineRun

Description of PipelineRun.

PipelineRunLogDetails

Customer logging details for pipeline run.

PipelineRunSummary

Summary of the PipelineRun.

PipelineShapeConfigDetails

Details for the pipeline step run shape configuration. Specify only when a flex shape is selected.

PipelineStepConfigurationDetails

The configuration details of a step.

PipelineStepDetails

A step in the pipeline.

PipelineStepDetailsModelConverter

PipelineStepOverrideDetails

Override details of the step. Only Step Configuration is allowed to be overridden.

PipelineStepRun

Detail of each StepRun.

PipelineStepRunModelConverter

PipelineStepUpdateDetails

The details of the step to update.

PipelineStepUpdateDetailsModelConverter

PipelineSummary

Summary of the Pipeline.

PredefinedExpressionThresholdScalingConfiguration

The scaling configuration for the predefined metric expression rule.

PredefinedMetricExpressionRule

An expression built using CPU or Memory metrics for triggering an autoscaling action on the model deployment.

Project

Projects enable users to organize their data science work.

ProjectSummary

Summary information for a project.

RetentionOperationDetails

Retention operation details for the model.

RetentionSetting

Retention setting details of the model.

ScalingConfiguration

Scaling configuration for the metric expression rule.

ScalingConfigurationModelConverter

ScalingPolicy

The scaling policy to apply to each model of the deployment.

ScalingPolicyModelConverter

SingleModelDeploymentConfigurationDetails

The single model type deployment.

StandaloneJobInfrastructureConfigurationDetails

The standalone job infrastructure configuration.

StorageMountConfigurationDetails

The storage mount configuration details

StorageMountConfigurationDetailsModelConverter

ThresholdBasedAutoScalingPolicyDetails

Details for a threshold-based autoscaling policy to enable on the model deployment. In a threshold-based autoscaling policy, an autoscaling action is triggered when a performance metric meets or exceeds a threshold.

UpdateCategoryLogDetails

The log details for each category for update.

UpdateDataSciencePrivateEndpointDetails

The details required to update a private endpoint.

UpdateDefaultModelDeploymentEnvironmentConfigurationDetails

The update environment configuration details object for managed container

UpdateJobDetails

Details for updating a job.

UpdateJobRunDetails

Details for updating a job run.

UpdateModelConfigurationDetails

The model configuration details for update.

UpdateModelDeploymentConfigurationDetails

The model deployment configuration details for update.

UpdateModelDeploymentConfigurationDetailsModelConverter

UpdateModelDeploymentDetails

Details for updating a model deployment. You can update modelDeploymentConfigurationDetails and change instanceShapeName and modelId when the model deployment is in the ACTIVE lifecycle state. The bandwidthMbps or instanceCount can only be updated while the model deployment is in the INACTIVE state. Changes to the bandwidthMbps or instanceCount will take effect the next time the ActivateModelDeployment action is invoked on the model deployment resource.

UpdateModelDeploymentEnvironmentConfigurationDetails

The configuration to carry the environment details thats used in Model Deployment update

UpdateModelDeploymentEnvironmentConfigurationDetailsModelConverter

UpdateModelDetails

Details for updating a model.

UpdateModelProvenanceDetails

Model provenance gives data scientists information about the origin of their model. This information allows data scientists to reproduce the development environment in which the model was trained.

UpdateModelVersionSetDetails

Details for updating a model version set.

UpdateNotebookSessionDetails

Details for updating a notebook session. notebookSessionConfigurationDetails can only be updated while the notebook session is in the INACTIVE state. Changes to the notebookSessionConfigurationDetails take effect the next time the ActivateNotebookSession action is invoked on the notebook session resource.