> For the complete documentation index, see [llms.txt](https://docs.rasgoml.com/rasgo-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rasgoml.com/rasgo-docs/rasgo-0.1/all-transforms/datarobot_score.md).

# Datarobot Score

Retrieves predictions from a DataRobot model that was deployed in Snowflake.

## Parameters

| Name            | Type         | Description                                                                                                                                                                                                     | Is Optional |
| --------------- | ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------- |
| function\_name  | value        | name of the custom Snowflake function that represents the DataRobot model                                                                                                                                       |             |
| include\_cols   | column\_list | List of columns to select                                                                                                                                                                                       |             |
| num\_explains   | value        | (Optional) the number of prediction explanations to also retrieve. Prediction explanations are computationally expensive. If you supply num\_explains, you must also supply threshold\_low and threshold\_high. | True        |
| threshold\_low  | value        | (Optional) predictions lower than this threshold will also calculate an explanation.                                                                                                                            | True        |
| threshold\_high | value        | (Optional) predictions higher than this threshold will also calculate an explanation.                                                                                                                           | True        |

## Example

```python
toscore = rasgo.get.dataset(resource_key='adventureworks_sales_by_day_toscore')

# with explanations
scored = toscore.datarobot_score(function_name = 'PUBLIC.DEMO_PREDICT_NEXT_WEEK_SALES_V2',
                     include_cols = ['ORDERDATE','SALESAMOUNT'],
                     num_explains=2, 
                     threshold_low=100, 
                     threshold_high=100000)

# without explanations
scored = toscore.datarobot_score(function_name = 'PUBLIC.DEMO_PREDICT_NEXT_WEEK_SALES',
                     include_cols = ['ORDERDATE','SALESAMOUNT'])    

scored.preview()
```

## Source Code

{% embed url="<https://github.com/rasgointelligence/RasgoTransforms/blob/main/rasgotransforms/rasgotransforms/transforms/datarobot_score/datarobot_score.sql>" %}


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