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.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.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.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.CreateDataSciencePrivateEndpointDetails |
The details required to create a Data Science private endpoint. |
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.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.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.CreateProjectDetails |
Parameters needed to create a new project. |
oci.data_science.models.CustomExpressionQueryScalingConfiguration |
The scaling configuration for the custom metric expression rule. |
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.DataSciencePrivateEndpoint |
Data Science private endpoint. |
oci.data_science.models.DataSciencePrivateEndpointSummary |
List of Data Science private endpoints. |
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.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.ImportModelArtifactDetails |
Details required for importing the artifact from service bucket |
oci.data_science.models.InstanceConfiguration |
The model deployment instance configuration |
oci.data_science.models.InstancePoolModelDeploymentSystemData |
Instance pool based model deployment system data. |
oci.data_science.models.Job |
A job for training models. |
oci.data_science.models.JobConfigurationDetails |
The job configuration details |
oci.data_science.models.JobEnvironmentConfigurationDetails |
Environment configuration to capture job runtime dependencies. |
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.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.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 |
The standalone job infrastructure configuration with network egress settings preconfigured. |
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.Model |
Models are mathematical representations of the relationships between data. |
oci.data_science.models.ModelConfigurationDetails |
The model configuration details. |
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.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.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.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.ObjectStorageMountConfigurationDetails |
The Object Storage Configuration Details. |
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.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.PipelineDefaultConfigurationDetails |
The default pipeline configuration. |
oci.data_science.models.PipelineInfrastructureConfigurationDetails |
The infrastructure configuration details of a pipeline or a step. |
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.PipelineStepOverrideDetails |
Override details of the step. |
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.Project |
Projects enable users to organize their data science work. |
oci.data_science.models.ProjectSummary |
Summary information for a project. |
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.SingleModelDeploymentConfigurationDetails |
The single model type deployment. |
oci.data_science.models.StandaloneJobInfrastructureConfigurationDetails |
The standalone job infrastructure configuration. |
oci.data_science.models.StorageMountConfigurationDetails |
The storage mount configuration details |
oci.data_science.models.ThresholdBasedAutoScalingPolicyDetails |
Details for a threshold-based autoscaling policy to enable on the model deployment. |
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.UpdateJobDetails |
Details for updating a job. |
oci.data_science.models.UpdateJobRunDetails |
Details for updating a job run. |
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.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.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. |