# Challenger models

> Challenger models - A challenger is an alternative model being compared to the model currently
> deployed

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-07-27T18:44:30.511999+00:00` (UTC).

## Primary page

- [Challenger models](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md): Full documentation for this topic (Markdown sidecar).

## Sections on this page

- [Challenger](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger): In-page section heading.
- [create()](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger.create): In-page section heading.
- [get()](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger.get): In-page section heading.
- [list()](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger.list): In-page section heading.
- [delete()](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger.delete): In-page section heading.
- [update()](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger.update): In-page section heading.
- [ChampionModelPackage](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.champion_model_package.ChampionModelPackage): In-page section heading.

## Documentation content

### Challenger

A challenger is an alternative model being compared to the model currently deployed

Variables

| Attribute | Type | Description |
| --- | --- | --- |
| id | str | The ID of the challenger. |
| deployment_id | str | The ID of the deployment. |
| name | str | The name of the challenger. |
| model | dict | The model of the challenger. |
| model_package | dict | The model package of the challenger. |
| prediction_environment | dict | The prediction environment of the challenger. |

#### create()

Create a challenger for a deployment

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment |
| model_package_id | str | The model package id of the challenger model |
| prediction_environment_id | str | The prediction environment id of the challenger model |
| name | str | The name of the challenger model |
| max_wait | Optional[int] | The amount of seconds to wait for successful resolution of a challenger creation job. |

Return type: [Challenger](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger)

> [!NOTE] Examples
> ```
> from datarobot import Challenger
> challenger = Challenger.create(
>     deployment_id="5c939e08962d741e34f609f0",
>     name="Elastic-Net Classifier",
>     model_package_id="5c0a969859b00004ba52e41b",
>     prediction_environment_id="60b012436635fc00909df555"
> )
> ```

#### get()

Get a challenger for a deployment

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment |
| challenger_id | str | The ID of the challenger |

Returns

| Returns | Description |
| --- | --- |
| The challenger object |  |

Return type: [Challenger](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger)

> [!NOTE] Examples
> ```
> from datarobot import Challenger
> challenger = Challenger.get(
>     deployment_id="5c939e08962d741e34f609f0",
>     challenger_id="5c939e08962d741e34f609f0"
> )
> 
> challenger.id
> >>>'5c939e08962d741e34f609f0'
> challenger.model_package['name']
> >>> 'Elastic-Net Classifier'
> ```

#### list()

List all challengers for a deployment

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment |

Returns

| Returns | Description |
| --- | --- |
| challengers | A list of challenger objects |

Return type: [list](https://docs.datarobot.com/ja/docs/api/reference/sdk/challenger-models.html.md#datarobot.models.deployment.challenger.Challenger.list)

> [!NOTE] Examples
> ```
> from datarobot import Challenger
> challengers = Challenger.list(deployment_id="5c939e08962d741e34f609f0")
> 
> challengers[0].id
> >>>'5c939e08962d741e34f609f0'
> challengers[0].model_package['name']
> >>> 'Elastic-Net Classifier'
> ```

#### delete()

Delete a challenger for a deployment

Return type: `None`

#### update()

Update name and prediction environment of a challenger

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| name | Optional[str] | The name of the challenger model |
| prediction_environment_id | Optional[str] | The prediction environment id of the challenger model |

Return type: `None`

### ChampionModelPackage

Represents a champion model package.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| id | str | The ID of the registered model version. |
| registered_model_id | str | The ID of the parent registered model. |
| registered_model_version | int | The version of the registered model. |
| name | str | The name of the registered model version. |
| model_id | str | The ID of the model. |
| model_execution_type | str | The type of model package (version). dedicated (native DataRobot models) and custom_inference_model` (user added inference models) both execute on DataRobot prediction servers, while external does not. |
| is_archived | bool | Whether the model package (version) is permanently archived (cannot be used in deployment or replacement). |
| import_meta | ImportMeta | Information from when this model package (version) was first saved. |
| source_meta | SourceMeta | Meta information from where the model was generated. |
| model_kind | ModelKind | Model attribute information. |
| target | Target | Target information for the registered model version. |
| model_description | ModelDescription | Model description information. |
| datasets | Dataset | Dataset information for the registered model version. |
| timeseries | Timeseries | Time series information for the registered model version. |
| bias_and_fairness | BiasAndFairness | Bias and fairness information for the registered model version. |
| is_deprecated | bool | Whether the model package (version) is deprecated (cannot be used in deployment or replacement). |
| build_status | str or None | Model package (version) build status. One of complete, inProgress, failed. |
| user_provided_id | str or None | User provided ID for the registered model version. |
| updated_at | str or None | The time the registered model version was last updated. |
| updated_by | UserMetadata or None | The user who last updated the registered model version. |
| tags | List[TagWithId] or None | The tags associated with the registered model version. |
| mlpkg_file_contents | str or None | The contents of the model package file. |