Oracle Cloud Infrastructure v2.28.0, Mar 27 25

Oracle Cloud Infrastructure v2.28.0 published on Thursday, Mar 27, 2025 by Pulumi

oci.DataScience.getModelProvenance

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Oracle Cloud Infrastructure v2.28.0 published on Thursday, Mar 27, 2025 by Pulumi

Example Usage

TypeScript
Python
Go
C#
Java
YAML

import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testModelProvenance = oci.DataScience.getModelProvenance({
    modelId: testModel.id,
});

import pulumi
import pulumi_oci as oci

test_model_provenance = oci.DataScience.get_model_provenance(model_id=test_model["id"])

package main

import (
	"github.com/pulumi/pulumi-oci/sdk/v2/go/oci/datascience"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := datascience.GetModelProvenance(ctx, &datascience.GetModelProvenanceArgs{
			ModelId: testModel.Id,
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;

return await Deployment.RunAsync(() => 
{
    var testModelProvenance = Oci.DataScience.GetModelProvenance.Invoke(new()
    {
        ModelId = testModel.Id,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.DataScience.DataScienceFunctions;
import com.pulumi.oci.DataScience.inputs.GetModelProvenanceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var testModelProvenance = DataScienceFunctions.getModelProvenance(GetModelProvenanceArgs.builder()
            .modelId(testModel.id())
            .build());

    }
}

variables:
  testModelProvenance:
    fn::invoke:
      function: oci:DataScience:getModelProvenance
      arguments:
        modelId: ${testModel.id}

Using getModelProvenance

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

TypeScript
Python
Go
C#
Java
YAML

function getModelProvenance(args: GetModelProvenanceArgs, opts?: InvokeOptions): Promise<GetModelProvenanceResult>
function getModelProvenanceOutput(args: GetModelProvenanceOutputArgs, opts?: InvokeOptions): Output<GetModelProvenanceResult>

def get_model_provenance(model_id: Optional[str] = None,
                         opts: Optional[InvokeOptions] = None) -> GetModelProvenanceResult
def get_model_provenance_output(model_id: Optional[pulumi.Input[str]] = None,
                         opts: Optional[InvokeOptions] = None) -> Output[GetModelProvenanceResult]

func GetModelProvenance(ctx *Context, args *GetModelProvenanceArgs, opts ...InvokeOption) (*GetModelProvenanceResult, error)
func GetModelProvenanceOutput(ctx *Context, args *GetModelProvenanceOutputArgs, opts ...InvokeOption) GetModelProvenanceResultOutput

> Note: This function is named GetModelProvenance in the Go SDK.

public static class GetModelProvenance 
{
    public static Task<GetModelProvenanceResult> InvokeAsync(GetModelProvenanceArgs args, InvokeOptions? opts = null)
    public static Output<GetModelProvenanceResult> Invoke(GetModelProvenanceInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetModelProvenanceResult> getModelProvenance(GetModelProvenanceArgs args, InvokeOptions options)
public static Output<GetModelProvenanceResult> getModelProvenance(GetModelProvenanceArgs args, InvokeOptions options)

fn::invoke:
  function: oci:DataScience/getModelProvenance:getModelProvenance
  arguments:
    # arguments dictionary

The following arguments are supported:

ModelId string: The OCID of the model.

ModelId string: The OCID of the model.

modelId String: The OCID of the model.

modelId string: The OCID of the model.

model_id str: The OCID of the model.

modelId String: The OCID of the model.

getModelProvenance Result

The following output properties are available:

GitBranch string: For model reproducibility purposes. Branch of the git repository associated with model training.
GitCommit string: For model reproducibility purposes. Commit ID of the git repository associated with model training.
Id string
ModelId string
RepositoryUrl string: For model reproducibility purposes. URL of the git repository associated with model training.
ScriptDir string: For model reproducibility purposes. Path to model artifacts.
TrainingId string: The OCID of a training session(Job or NotebookSession) in which the model was trained. It is used for model reproducibility purposes.
TrainingScript string: For model reproducibility purposes. Path to the python script or notebook in which the model was trained."

GitBranch string: For model reproducibility purposes. Branch of the git repository associated with model training.
GitCommit string: For model reproducibility purposes. Commit ID of the git repository associated with model training.
Id string
ModelId string
RepositoryUrl string: For model reproducibility purposes. URL of the git repository associated with model training.
ScriptDir string: For model reproducibility purposes. Path to model artifacts.
TrainingId string: The OCID of a training session(Job or NotebookSession) in which the model was trained. It is used for model reproducibility purposes.
TrainingScript string: For model reproducibility purposes. Path to the python script or notebook in which the model was trained."

gitBranch String: For model reproducibility purposes. Branch of the git repository associated with model training.
gitCommit String: For model reproducibility purposes. Commit ID of the git repository associated with model training.
id String
modelId String
repositoryUrl String: For model reproducibility purposes. URL of the git repository associated with model training.
scriptDir String: For model reproducibility purposes. Path to model artifacts.
trainingId String: The OCID of a training session(Job or NotebookSession) in which the model was trained. It is used for model reproducibility purposes.
trainingScript String: For model reproducibility purposes. Path to the python script or notebook in which the model was trained."

gitBranch string: For model reproducibility purposes. Branch of the git repository associated with model training.
gitCommit string: For model reproducibility purposes. Commit ID of the git repository associated with model training.
id string
modelId string
repositoryUrl string: For model reproducibility purposes. URL of the git repository associated with model training.
scriptDir string: For model reproducibility purposes. Path to model artifacts.
trainingId string: The OCID of a training session(Job or NotebookSession) in which the model was trained. It is used for model reproducibility purposes.
trainingScript string: For model reproducibility purposes. Path to the python script or notebook in which the model was trained."

git_branch str: For model reproducibility purposes. Branch of the git repository associated with model training.
git_commit str: For model reproducibility purposes. Commit ID of the git repository associated with model training.
id str
model_id str
repository_url str: For model reproducibility purposes. URL of the git repository associated with model training.
script_dir str: For model reproducibility purposes. Path to model artifacts.
training_id str: The OCID of a training session(Job or NotebookSession) in which the model was trained. It is used for model reproducibility purposes.
training_script str: For model reproducibility purposes. Path to the python script or notebook in which the model was trained."

gitBranch String: For model reproducibility purposes. Branch of the git repository associated with model training.
gitCommit String: For model reproducibility purposes. Commit ID of the git repository associated with model training.
id String
modelId String
repositoryUrl String: For model reproducibility purposes. URL of the git repository associated with model training.
scriptDir String: For model reproducibility purposes. Path to model artifacts.
trainingId String: The OCID of a training session(Job or NotebookSession) in which the model was trained. It is used for model reproducibility purposes.
trainingScript String: For model reproducibility purposes. Path to the python script or notebook in which the model was trained."

Package Details

Repository: oci pulumi/pulumi-oci
License: Apache-2.0
Notes: This Pulumi package is based on the oci Terraform Provider.

Oracle Cloud Infrastructure v2.28.0 published on Thursday, Mar 27, 2025 by Pulumi

pulumi/pulumi-oci

oci.DataScience.getModelProvenance

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Example Usage

Using getModelProvenance

getModelProvenance Result

Package Details

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