# Data exports

> Data exports - Create a deployment prediction data export. Waits until ready and fetches
> PredictionDataExport after the export finishes. This method is blocking.

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 `2026-07-27T18:44:30.519159+00:00` (UTC).

## Primary page

- [Data exports](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md): Full documentation for this topic (Markdown sidecar).

## Sections on this page

- [PredictionDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.PredictionDataExport): In-page section heading.
- [list()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.PredictionDataExport.list): In-page section heading.
- [get()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.PredictionDataExport.get): In-page section heading.
- [create()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.PredictionDataExport.create): In-page section heading.
- [fetch_data()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.PredictionDataExport.fetch_data): In-page section heading.
- [ActualsDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.ActualsDataExport): In-page section heading.
- [list()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.ActualsDataExport.list): In-page section heading.
- [get()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.ActualsDataExport.get): In-page section heading.
- [create()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.ActualsDataExport.create): In-page section heading.
- [fetch_data()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.ActualsDataExport.fetch_data): In-page section heading.
- [TrainingDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.TrainingDataExport): In-page section heading.
- [list()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.TrainingDataExport.list): In-page section heading.
- [get()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.TrainingDataExport.get): In-page section heading.
- [create()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.TrainingDataExport.create): In-page section heading.
- [fetch_data()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.TrainingDataExport.fetch_data): In-page section heading.
- [DataQualityExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.DataQualityExport): In-page section heading.
- [list()](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.DataQualityExport.list): In-page section heading.

## Documentation content

### PredictionDataExport

A prediction data export.

Added in version v3.4.

Variables

| Attribute | Type | Description |
| --- | --- | --- |
| id | str | The ID of the prediction data export. |
| model_id | str | The ID of the model (or null if not specified). |
| created_at | datetime | Prediction data export creation timestamp. |
| period | Period | A prediction data time range definition. |
| status | ExportStatus | A prediction data export processing state. |
| error | ExportError | Error description, appears when prediction data export job failed (status is FAILED). |
| batches | ExportBatches | Metadata associated with exported batch. |
| deployment_id | str | The ID of the deployment. |

#### list()

Retrieve a list of prediction data exports.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| model_id | Optional[str] | The ID of the model used for prediction data export. |
| status | Optional[ExportStatus] | A prediction data export processing state. |
| batch | Optional[bool] | If true, only return batch exports. If false, only return real-time exports. If not provided, return both real-time and batch exports. |
| limit | Optional[int] | The maximum number of objects to return. The default is 100 (0 means no limit). |
| offset | Optional[int] | The starting offset of the results. The default is 0. |

Returns

| Returns | Description |
| --- | --- |
| prediction_data_exports | A list of PredictionDataExport objects. |

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

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import PredictionDataExport
> 
> prediction_data_exports = PredictionDataExport.list(deployment_id='5c939e08962d741e34f609f0')
> ```

#### get()

Retrieve a single prediction data export.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| export_id | str | The ID of the prediction data export. |

Returns

| Returns | Description |
| --- | --- |
| prediction_data_export | A prediction data export. |

Return type: [PredictionDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.PredictionDataExport)

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import PredictionDataExport
> 
> prediction_data_export = PredictionDataExport.get(
>     deployment_id='5c939e08962d741e34f609f0', export_id='65fbe59aaa3f847bd5acc75b'
>     )
> ```

#### create()

Create a deployment prediction data export.
Waits until ready and fetches PredictionDataExport after the export finishes. This method is blocking.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| start | Union[datetime, str] | Inclusive start of the time range. |
| end | Union[datetime, str] | Exclusive end of the time range. |
| model_id | Optional[str] | The ID of the model. |
| batch_ids | Optional[List[str]] | IDs of batches to export. Null for real-time data exports. |
| max_wait | int, | Seconds to wait for successful resolution. |

Returns

| Returns | Description |
| --- | --- |
| prediction_data_export | A prediction data export. |

Return type: [PredictionDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.PredictionDataExport)

> [!NOTE] Examples
> ```
> from datetime import datetime, timedelta
> from datarobot.models.deployment import PredictionDataExport
> 
> now=datetime.now()
> prediction_data_export = PredictionDataExport.create(
>     deployment_id='5c939e08962d741e34f609f0', start=now - timedelta(days=7), end=now
>     )
> ```

#### fetch_data()

Return data from prediction export as datarobot Dataset.

Returns

| Returns | Description |
| --- | --- |
| prediction_datasets | List of datasets for a given export, most often it is just one. |

Return type: `List[Dataset]`

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import PredictionDataExport
> 
> prediction_data_export = PredictionDataExport.get(
>     deployment_id='5c939e08962d741e34f609f0', export_id='65fbe59aaa3f847bd5acc75b'
>     )
> prediction_datasets = prediction_data_export.fetch_data()
> ```

### ActualsDataExport

An actuals data export.

Added in version v3.4.

Variables

| Attribute | Type | Description |
| --- | --- | --- |
| id | str | The ID of the actuals data export. |
| model_id | str | The ID of the model (or null if not specified). |
| created_at | datetime | Actuals data export creation timestamp. |
| period | Period | A actuals data time range definition. |
| status | ExportStatus | A data export processing state. |
| error | ExportError | Error description, appears when actuals data export job failed (status is FAILED). |
| only_matched_predictions | bool | If true, exports actuals with matching predictions only. |
| deployment_id | str | The ID of the deployment. |

#### list()

Retrieve a list of actuals data exports.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| status | Optional[ExportStatus] | Actuals data export processing state. |
| limit | Optional[int] | The maximum number of objects to return. The default is 100 (0 means no limit). |
| offset | Optional[int] | The starting offset of the results. The default is 0. |

Returns

| Returns | Description |
| --- | --- |
| actuals_data_exports | A list of ActualsDataExport objects. |

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

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import ActualsDataExport
> 
> actuals_data_exports = ActualsDataExport.list(deployment_id='5c939e08962d741e34f609f0')
> ```

#### get()

Retrieve a single actuals data export.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| export_id | str | The ID of the actuals data export. |

Returns

| Returns | Description |
| --- | --- |
| actuals_data_export | An actuals data export. |

Return type: [ActualsDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.ActualsDataExport)

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import ActualsDataExport
> 
> actuals_data_export = ActualsDataExport.get(
>     deployment_id='5c939e08962d741e34f609f0', export_id='65fb0a6c9bb187781cfdea36'
>     )
> ```

#### create()

Create a deployment actuals data export.
Waits until ready and fetches ActualsDataExport after the export finishes. This method is blocking.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| start | Union[datetime, str] | Inclusive start of the time range. |
| end | Union[datetime, str] | Exclusive end of the time range. |
| model_id | Optional[str] | The ID of the model. |
| only_matched_predictions | Optional[bool] | If true, exports actuals with matching predictions only. |
| max_wait | int | Seconds to wait for successful resolution. |

Returns

| Returns | Description |
| --- | --- |
| actuals_data_export | An actuals data export. |

Return type: [ActualsDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.ActualsDataExport)

> [!NOTE] Examples
> ```
> from datetime import datetime, timedelta
> from datarobot.models.deployment import ActualsDataExport
> 
> now=datetime.now()
> actuals_data_export = ActualsDataExport.create(
>     deployment_id='5c939e08962d741e34f609f0', start=now - timedelta(days=7), end=now
>     )
> ```

#### fetch_data()

Return data from actuals export as datarobot Dataset.

Returns

| Returns | Description |
| --- | --- |
| actuals_datasets | List of datasets for a given export, most often it is just one. |

Return type: `List[Dataset]`

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import ActualsDataExport
> 
> actuals_data_export = ActualsDataExport.get(
>     deployment_id='5c939e08962d741e34f609f0', export_id='65fb0a6c9bb187781cfdea36'
>     )
> actuals_datasets = actuals_data_export.fetch_data()
> ```

### TrainingDataExport

A training data export.

Added in version v3.4.

Variables

| Attribute | Type | Description |
| --- | --- | --- |
| id | str | The ID of the training data export. |
| model_id | str | The ID of the model (or null if not specified). |
| model_package_id | str | The ID of the model package. |
| created_at | datetime | Training data export creation timestamp. |
| deployment_id | str | The ID of the deployment. |

#### list()

Retrieve a list of successful training data exports.

Parameters

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

Returns

| Returns | Description |
| --- | --- |
| training_data_exports | A list of TrainingDataExport objects. |

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

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import TrainingDataExport
> 
> training_data_exports = TrainingDataExport.list(deployment_id='5c939e08962d741e34f609f0')
> ```

#### get()

Retrieve a single training data export.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| export_id | str | The ID of the training data export. |

Returns

| Returns | Description |
| --- | --- |
| training_data_export | A training data export. |

Return type: [TrainingDataExport](https://docs.datarobot.com/ja/docs/api/reference/sdk/data-exploration.html.md#datarobot.models.deployment.data_exports.TrainingDataExport)

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import TrainingDataExport
> training_data_export = TrainingDataExport.get(
>     deployment_id='5c939e08962d741e34f609f0', export_id='65fbf2356124f1daa3acc522'
>     )
> ```

#### create()

Create a single training data export.
Waits until ready and fetches TrainingDataExport after the export finishes. This method is blocking.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| model_id | Optional[str] | The ID of the model. |
| max_wait | int | Seconds to wait for successful resolution. |

Return type: `str`

Returns

| Returns | Description |
| --- | --- |
| dataset_id (str) | A created dataset with training data. Examples * -------- * code-block:: python – from datarobot.models.deployment import TrainingDataExport dataset_id = TrainingDataExport.create(deployment_id=’5c939e08962d741e34f609f0’) |

#### fetch_data()

Return data from training data export as datarobot Dataset.

Returns

| Returns | Description |
| --- | --- |
| training_dataset | A datasets for a given export. |

Return type: `Dataset`

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import TrainingDataExport
> 
> training_data_export = TrainingDataExport.get(
>     deployment_id='5c939e08962d741e34f609f0', export_id='65fbf2356124f1daa3acc522'
>     )
> training_data_export = training_data_export.fetch_data()
> ```

### DataQualityExport

A data quality export record.

Added in version v3.6.

Variables

| Attribute | Type | Description |
| --- | --- | --- |
| association_id | str | The association ID of the data quality export. |
| timestamp | datetime | The data quality export creation timestamp. |
| deployment_id | str | The ID of the deployment. |
| prompt | Optional[str] | The LLM prompt of the data quality export. |
| predicted_value | str | The predicted value of the data quality export. |
| actual_value | Optional[str] | The actual value (if available) of the data quality export. |
| context | List[Dict[str, str]] | Context data (context and link data) for the contexts associated with the data quality export. |
| metrics | List[Dict[str, Any]] | Custom-metrics data for the data quality export. |

#### list()

Retrieve a list of data-quality export records for a given deployment.

Added in version v3.6.

Parameters

| Parameter | Type | Description |
| --- | --- | --- |
| deployment_id | str | The ID of the deployment. |
| start | Union[str, datetime] | The earliest time of the objects to return. |
| end | Union[str, datetime] | The latest time of the objects to return. |
| model_id | Optional[str] | The ID of the model. |
| prediction_pattern | Optional[str] | The keywords to search in a predicted value for a text generation target. |
| prompt_pattern | Optional[str] | The keywords to search in a prompt value for a text generation target. |
| actual_pattern | Optional[str] | The keywords to search in an actual value for a text generation target. |
| order_by | Optional[str] | The field to sort by (e.g., associationId, timestamp, or customMetrics). Use a leading ‘-’ to indicate descending order. When ordering by a custom-metric, must also specify ‘order_metric’. The default is None, which equates to ‘-timestamp’. |
| order_metric | Optional[str] | When ‘order_by’ is a custom-metric, this specifies the custom-metric name or ID to use for ordering. The default is None. |
| filter_metric | Optional[str] | Specifies the metric name or ID to use for matching. Must also use ‘filter_value’ to specify the value that must be matched. The default is None. |
| filter_value | Optional[str] | Specifies the value associated with ‘filter_metric’ that must be matched. The default is None. |
| offset | Optional[int] | The starting offset of the results. The default is 0. |
| limit | Optional[int] | The maximum number of objects to return. The default is 100 (which is maximum). |

Returns

| Returns | Description |
| --- | --- |
| data_quality_exports | A list of DataQualityExport objects. |

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

> [!NOTE] Examples
> ```
> from datarobot.models.deployment import DataQualityExport
> 
> data_quality_exports = DataQualityExport.list(
>     deployment_id='5c939e08962d741e34f609f0', start_time='2024-07-01', end_time='2024-08-01
> )
> ```