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|`overwrite`| boolean | If `True`, overwrites the dataset rows of an existing version. |
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|`new_version`| boolean | If `True`, creates a new version of the dataset in Datadog. Defaults to `True`.<br/><br/>This flag is useful for creating a new dataset with entirely new data. |
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|`new_version`| Boolean | If `True`, creates a new version of the dataset in Datadog, otherwise it modifies it in place. Defaults to `True`.|
|`multiindex`|boolean| If `True`, expands nested dictionaries into [MultiIndex][6] columns. Defaults to `True`. |
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|`multiindex`|Boolean| If `True`, expands nested dictionaries into [MultiIndex][6] columns. Defaults to `True`. |
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**Returns**
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@@ -273,7 +272,7 @@ Experiment.run(jobs: int = 10, raise_errors: bool = False, sample_size: int = No
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| Parameter | Type | Description |
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| --------- | ---- | ----------- |
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|`jobs`| int | Number of worker threads used to run the task concurrently. Defaults to 10. |
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|`raise_errors`|boolean| If `True`, stops execution as soon as the first exception from the task is raised.<br/><br/>If `False`, every exception is handled, and the experiment runs continually until finished. |
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|`raise_errors`|Boolean| If `True`, stops execution as soon as the first exception from the task is raised.<br/><br/>If `False`, every exception is handled, and the experiment runs continually until finished. |
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|`sample_size`| int | Number of rows used for the experiment. You can use `sample_size` with `raise_errors` to test before you run a long experiment. |
|`evaluators`| function[]| List of functions decorated with `@evaluator` that run against all outputs in the results. |
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|`raise_errors`|boolean| If `True`, stops execution as soon as the first exception from the task is raised.<br/><br/>If `False`, every exception is handled, and the experiment runs continually until finished. |
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|`raise_errors`|Boolean| If `True`, stops execution as soon as the first exception from the task is raised.<br/><br/>If `False`, every exception is handled, and the experiment runs continually until finished. |
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