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list_experiments

list_experiments(
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    created_after: Optional[Timestamp] = None,
    created_before: Optional[Timestamp] = None,
    sort_by: Optional[SortExperimentsBy] = None,
    sort_order: Optional[SortOrder] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> ListExperimentsResponse

Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.

Parameters:

  • created_after (Optional[Timestamp], default: None ) –

    A filter that returns only experiments created after the specified time.

  • created_before (Optional[Timestamp], default: None ) –

    A filter that returns only experiments created before the specified time.

  • sort_by (Optional[SortExperimentsBy], default: None ) –

    The property used to sort results. The default value is CreationTime.

  • sort_order (Optional[SortOrder], default: None ) –

    The sort order. The default value is Descending.

  • next_token (Optional[NextToken], default: None ) –

    If the previous call to ListExperiments didn't return the full set of experiments, the call returns a token for getting the next set of experiments.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of experiments to return in the response. The default value is 10.

Raises:

Source code in docs_src/capo_sagemaker/_services/sage_maker.py
def list_experiments(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    created_after: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    created_before: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    sort_by: Optional[
        "capo_sagemaker.types.sort_experiments_by.SortExperimentsBy"
    ] = None,
    sort_order: Optional["capo_sagemaker.types.sort_order.SortOrder"] = None,
    next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
    max_results: Optional["capo_sagemaker.types.max_results.MaxResults"] = None,
) -> "capo_sagemaker.types.list_experiments_response.ListExperimentsResponse":
    """<p>Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.</p>

    Args:
        created_after: <p>A filter that returns only experiments created after the specified time.</p>
        created_before: <p>A filter that returns only experiments created before the specified time.</p>
        sort_by: <p>The property used to sort results. The default value is <code>CreationTime</code>.</p>
        sort_order: <p>The sort order. The default value is <code>Descending</code>.</p>
        next_token: <p>If the previous call to <code>ListExperiments</code> didn't return the full set of experiments, the call returns a token for getting the next set of experiments.</p>
        max_results: <p>The maximum number of experiments to return in the response. The default value is 10.</p>

    Raises:
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.list_experiments_request.ListExperimentsRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.list_experiments_response.ListExperimentsResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.list_experiments

        output, http_response = (
            capo_sagemaker._operations.sage_maker.list_experiments.list_experiments(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListExperiments")
    )
    input_: capo_sagemaker.types.list_experiments_request.ListExperimentsRequest = {}
    if created_after is not None:
        input_["created_after"] = created_after
    if created_before is not None:
        input_["created_before"] = created_before
    if sort_by is not None:
        input_["sort_by"] = sort_by
    if sort_order is not None:
        input_["sort_order"] = sort_order
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output