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.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.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.
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.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.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.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.